{"id":6042,"date":"2026-05-26T17:05:47","date_gmt":"2026-05-26T17:05:47","guid":{"rendered":"https:\/\/ppbi.pt\/wordpress\/?page_id=6042"},"modified":"2026-05-27T10:03:32","modified_gmt":"2026-05-27T10:03:32","slug":"elmi2026-workshop-abstracts","status":"publish","type":"page","link":"https:\/\/ppbi.pt\/wordpress\/index.php\/elmi2026-workshop-abstracts\/","title":{"rendered":"ELMI2026 Workshop Abstracts"},"content":{"rendered":"\n<div class=\"wp-block-cover alignfull\" style=\"min-height:300px;aspect-ratio:unset;\"><img loading=\"lazy\" decoding=\"async\" width=\"890\" height=\"830\" class=\"wp-block-cover__image-background wp-image-5917 size-full\" alt=\"Widefield fluorescence image of spinal cord cultures showing astrocytes with different morphologies in cyan (GFAP) and nuclei in magenta (DAPI).\" src=\"https:\/\/ppbi.pt\/wordpress\/wp-content\/uploads\/2026\/05\/Jonas-Campos-15.png\" data-object-fit=\"cover\" srcset=\"https:\/\/ppbi.pt\/wordpress\/wp-content\/uploads\/2026\/05\/Jonas-Campos-15.png 890w, https:\/\/ppbi.pt\/wordpress\/wp-content\/uploads\/2026\/05\/Jonas-Campos-15-300x280.png 300w, https:\/\/ppbi.pt\/wordpress\/wp-content\/uploads\/2026\/05\/Jonas-Campos-15-150x140.png 150w, https:\/\/ppbi.pt\/wordpress\/wp-content\/uploads\/2026\/05\/Jonas-Campos-15-768x716.png 768w, https:\/\/ppbi.pt\/wordpress\/wp-content\/uploads\/2026\/05\/Jonas-Campos-15-600x560.png 600w\" sizes=\"auto, (max-width: 890px) 100vw, 890px\" \/><span aria-hidden=\"true\" class=\"wp-block-cover__background has-background-dim\" style=\"background-color:#234284\"><\/span><div class=\"wp-block-cover__inner-container has-global-padding is-layout-constrained wp-block-cover-is-layout-constrained\">\n<p class=\"has-text-align-center has-large-font-size wp-block-paragraph\">ELMI2026 Workshop Abstracts<\/p>\n<\/div><\/div>\n\n\n\n<div style=\"height:40px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<!-- ELMI Workshops -->\n<style>\n@import url('https:\/\/fonts.googleapis.com\/css2?family=DM+Sans:ital,wght@0,400;0,500;0,600;1,400&family=DM+Serif+Display:ital@0;1&display=swap');\n\n.elmi-wrap {\n  font-family: 'DM Sans', sans-serif;\n  color: #1a1a2e;\n  max-width: 900px;\n  margin: 0 auto;\n  padding: 0 16px 40px;\n}\n\n\/* NAV *\/\n.session-nav {\n  display: flex;\n  flex-wrap: wrap;\n  gap: 8px;\n  margin-bottom: 32px;\n  padding: 18px;\n  background: #f4f7fb;\n  border-radius: 12px;\n  border-left: 4px solid #005b9a;\n}\n.nav-pill {\n  display: flex;\n  flex-direction: column;\n  padding: 8px 14px;\n  background: #fff;\n  border: 1px solid #d0dcea;\n  border-radius: 8px;\n  cursor: pointer;\n  color: #005b9a;\n  font-family: 'DM Sans', sans-serif;\n  font-size: 13px;\n  font-weight: 600;\n  line-height: 1.2;\n  transition: background 0.15s, transform 0.1s;\n  text-align: left;\n}\n.nav-pill:hover {\n  background: #005b9a;\n  color: #fff;\n  border-color: #005b9a;\n  transform: translateY(-1px);\n}\n.nav-date {\n  font-size: 11px;\n  font-weight: 400;\n  opacity: 0.7;\n  margin-top: 2px;\n}\n\n\/* OUTER SESSION ACCORDION *\/\n.session-block {\n  margin-bottom: 10px;\n  border-radius: 12px;\n  overflow: hidden;\n  border: 1.5px solid #d0dcea;\n  box-shadow: 0 1px 4px rgba(0,91,154,0.05);\n}\n.session-block.companies-only { border-color: #e0c9a6; 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}\n.ws-item.tellmi-item {\n  border-color: #b8d9c4;\n  background: #fafffe;\n}\n.ws-item.tba-item {\n  border-color: #dce6f0;\n  background: #fff;\n}\n.ws-trigger {\n  width: 100%;\n  display: flex;\n  align-items: baseline;\n  gap: 10px;\n  padding: 11px 14px;\n  background: none;\n  border: none;\n  cursor: pointer;\n  text-align: left;\n  font-family: 'DM Sans', sans-serif;\n  transition: background 0.12s;\n}\n.ws-trigger:hover { background: #f4f8fd; }\n.tellmi-item .ws-trigger:hover { background: #f0faf4; }\n\n\/* company tag \u2014 standard blue *\/\n.company-tag {\n  flex-shrink: 0;\n  font-size: 10.5px;\n  font-weight: 700;\n  text-transform: uppercase;\n  letter-spacing: 0.06em;\n  color: #005b9a;\n  background: #e8f1fb;\n  padding: 2px 7px;\n  border-radius: 4px;\n  line-height: 1.7;\n  white-space: nowrap;\n}\n\/* TELLMI tag \u2014 green *\/\n.company-tag.tellmi-tag {\n  color: #1a6640;\n  background: #e0f0e8;\n}\n.ws-title {\n  flex: 1;\n  font-size: 13.5px;\n  font-weight: 500;\n  color: #1a1a2e;\n  line-height: 1.4;\n}\n.tba-badge {\n  display: inline-block;\n  margin-left: 8px;\n  font-size: 10px;\n  font-weight: 700;\n  text-transform: uppercase;\n  letter-spacing: 0.05em;\n  color: #6a3a9a;\n  background: #ede5f8;\n  padding: 1px 6px;\n  border-radius: 3px;\n  vertical-align: middle;\n}\n.chevron {\n  flex-shrink: 0;\n  color: #aab8c8;\n  transition: transform 0.2s;\n  margin-left: auto;\n}\n.ws-trigger[aria-expanded=\"true\"] .chevron { transform: rotate(180deg); }\n\n\/* WORKSHOP PANEL *\/\n.ws-panel {\n  border-top: 1px solid #dce6f0;\n  padding: 14px 18px;\n  background: #fafcff;\n}\n.tellmi-item .ws-panel { border-top-color: #b8d9c4; background: #f6fdf8; }\n.panel-meta {\n  display: flex;\n  flex-wrap: wrap;\n  gap: 14px;\n  margin-bottom: 10px;\n  font-size: 13px;\n  color: #4a5e70;\n}\n.panel-abstract p {\n  font-size: 13.5px;\n  line-height: 1.75;\n  color: #2e3a4a;\n  margin: 0 0 10px 0;\n}\n.panel-abstract p:last-child { margin-bottom: 0; }\n\n\/* FOOTNOTE *\/\n.tellmi-footnote {\n  margin-top: 32px;\n  padding: 13px 16px;\n  background: #f0faf4;\n  border-left: 3px solid #3a9c6a;\n  border-radius: 6px;\n  font-size: 13px;\n  color: #2a5a40;\n}\n\n@media (max-width: 600px) {\n  .session-trigger { gap: 10px; padding: 14px; }\n  .session-number { width: 42px; height: 42px; font-size: 18px; }\n  .session-title { font-size: 17px; }\n  .ws-trigger { flex-wrap: wrap; }\n  .chevron { margin-left: 0; }\n}\n<\/style>\n\n<div class=\"elmi-wrap\">\n\n  <nav class=\"session-nav\" aria-label=\"Jump to session\">\n    <button class=\"nav-pill\" onclick=\"openSession('S1')\">Day 1 Session 1<span class=\"nav-date\">June 17 \u00b7 11:30\u201312:30<\/span><\/button><button class=\"nav-pill\" onclick=\"openSession('S2')\">Day 1 Session 2<span class=\"nav-date\">June 17 \u00b7 13:45\u201314:45<\/span><\/button><button class=\"nav-pill\" onclick=\"openSession('S3')\">Day 1 Session 3<span class=\"nav-date\">June 17 \u00b7 14:45\u201315:45<\/span><\/button><button class=\"nav-pill\" onclick=\"openSession('S4')\">Day 2 Session 1<span class=\"nav-date\">June 18 \u00b7 11:30\u201312:30<\/span><\/button><button class=\"nav-pill\" onclick=\"openSession('S5')\">Day 2 Session 2<span class=\"nav-date\">June 18 \u00b7 13:45\u201314:45<\/span><\/button><button class=\"nav-pill\" onclick=\"openSession('S6')\">Day 2 Session 3<span class=\"nav-date\">June 18 \u00b7 14:45\u201315:45<\/span><\/button>\n  <\/nav>\n\n  <div class=\"session-block\" id=\"S1\">\n  <button class=\"session-trigger\" aria-expanded=\"false\" aria-controls=\"session-panel-S1\" id=\"session-btn-S1\">\n    <span class=\"session-info\">\n      <span class=\"session-title\">Day 1 Session 1<\/span>\n      <span class=\"session-sub\">&#x1f4c5; June 17 &nbsp;\u00b7&nbsp; &#x23f0; 11:30\u201312:30<\/span>\n    <\/span>\n    <span class=\"session-count\">19 workshops<\/span>\n    <span class=\"session-chevron\" aria-hidden=\"true\"><svg width=\"20\" height=\"20\" viewBox=\"0 0 16 16\" fill=\"none\"><path d=\"M4 6l4 4 4-4\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/span>\n  <\/button>\n  <div class=\"session-panel\" id=\"session-panel-S1\" role=\"region\" aria-labelledby=\"session-btn-S1\" hidden>\n    <div class=\"ws-accordion\">\n      <div class=\"ws-item\">\n  <button class=\"ws-trigger\" aria-expanded=\"false\" aria-controls=\"ws-panel-S1-0\" id=\"ws-btn-S1-0\">\n    <span class=\"company-tag\">Abbelight<\/span>\n    <span class=\"ws-title\">Simultaneous multicolor TIRF Imaging with Abbelight SAFe System<\/span>\n    <span class=\"chevron\" aria-hidden=\"true\"><svg width=\"14\" height=\"14\" viewBox=\"0 0 16 16\" fill=\"none\"><path d=\"M4 6l4 4 4-4\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/span>\n  <\/button>\n  <div class=\"ws-panel\" id=\"ws-panel-S1-0\" role=\"region\" aria-labelledby=\"ws-btn-S1-0\" hidden>\n    <div class=\"panel-meta\">\n      <span>&#x1f3a4; Tom Borianne<\/span>\n      <span>&#x1f4cd; ABBELIGHT Room<\/span>\n    <\/div>\n    <div class=\"panel-abstract\"><p>Total Internal Reflection Fluorescence (TIRF) microscopy is a powerful tool for studying dynamic biological processes that occur at or near the plasma membrane or during in vitro reconstitutions. An evanescent field excites fluorophores in a thin slice of 100 to 200 nm above the glass surface, achieving a sectioning 5 to 10 times sharper than confocal microscopy. By minimizing background and achieving a high signal-to-noise ratio, dynamic processes can be monitored precisely and with low cytotoxicity. In the past, TIRF was generally conducted one color at a time, limiting the extent of interpretation when following complex mechanisms involving multiple molecular partners.<\/p><p>In this workshop, we demonstrate Abbelight simultaneous multicolor TIRF imaging, enabled by the SAFe platform workflow, designed to combine versatility, automation, and precision. Our system enables up to 4-colors imaging, both simultaneous and sequential, giving researchers the flexibility to study complex phenomenon involving multiple molecular partners or structures within the same field of view.<\/p><p>Based on automatic calibration, Abbelight NEO LiveImagingTM software predicts the penetration depth based on the illumination angle chosen by the user. This gives users precise control over the excitation depth and ensures reproducible imaging and quantifications across experimental sessions. Overall, Abbelight SAFe simultaneous multicolor TIRF imaging enables the investigation of protein colocalization, receptor clustering, membrane trafficking, phase separation, biocondensates dynamics, signal transduction, and many other dynamic membrane processes.<\/p><\/div>\n  <\/div>\n<\/div><div class=\"ws-item tba-item\">\n  <button class=\"ws-trigger\" aria-expanded=\"false\" aria-controls=\"ws-panel-S1-1\" id=\"ws-btn-S1-1\">\n    <span class=\"company-tag\">Abberior Instruments<\/span>\n    <span class=\"ws-title\">Abberior Workshop \u2014 title TBA<span class=\"tba-badge\">Details TBA<\/span><\/span>\n    <span class=\"chevron\" aria-hidden=\"true\"><svg width=\"14\" height=\"14\" viewBox=\"0 0 16 16\" fill=\"none\"><path d=\"M4 6l4 4 4-4\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/span>\n  <\/button>\n  <div class=\"ws-panel\" id=\"ws-panel-S1-1\" role=\"region\" aria-labelledby=\"ws-btn-S1-1\" hidden>\n    <div class=\"panel-meta\">\n      <span>&#x1f3a4; TBA<\/span>\n      <span>&#x1f4cd; ABBERIOR Room<\/span>\n    <\/div>\n    <div class=\"panel-abstract\"><p>Details to be announced.<\/p><\/div>\n  <\/div>\n<\/div><div class=\"ws-item\">\n  <button class=\"ws-trigger\" aria-expanded=\"false\" aria-controls=\"ws-panel-S1-2\" id=\"ws-btn-S1-2\">\n    <span class=\"company-tag\">Bruker<\/span>\n    <span class=\"ws-title\">Integrated Workflow from 3D Sample Imaging by Light-Sheet Microscopy to Large Data Processing<\/span>\n    <span class=\"chevron\" aria-hidden=\"true\"><svg width=\"14\" height=\"14\" viewBox=\"0 0 16 16\" fill=\"none\"><path d=\"M4 6l4 4 4-4\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/span>\n  <\/button>\n  <div class=\"ws-panel\" id=\"ws-panel-S1-2\" role=\"region\" aria-labelledby=\"ws-btn-S1-2\" hidden>\n    <div class=\"panel-meta\">\n      <span>&#x1f3a4; Bj\u00f6rn Eismann; Balint Balazs<\/span>\n      <span>&#x1f4cd; BRUKER Room<\/span>\n    <\/div>\n    <div class=\"panel-abstract\"><p>Modern, high throughput 3D microscopy not only requires solutions for rapid image acquisition, but also for scalable, on-the-fly image data transfer, image processing and content analysis. This workshop presents an integrated imaging and computing workflow combining the Bruker Luxendo light-sheet microscope with the Acquifer HIVE data management, a multi-user, high performance computing platform.<\/p><p>Multi-camera, multi-view light sheet microscopes enable fast volumetric imaging of complex 3D biological samples such as spheroids, organoids, and developing organisms, delivering high optical efficiency and gentle illumination across multiple imaging dimensions. To match this acquisition speed, imaging data is directly streamed to Acquifer HIVE, where it is centrally stored, processed, and made immediately available for analysis and word-wide collaboration, all in an integrated workflow made available by smart Hardware and Software implementation. The workshop demonstrates how end to end optimization\u2014from image acquisition to compute accelerated processing\u2014removes data bottlenecks and enables efficient, reproducible 3D microscopy workflows for microscopists, imaging facilities and translational research.<\/p><\/div>\n  <\/div>\n<\/div><div class=\"ws-item\">\n  <button class=\"ws-trigger\" aria-expanded=\"false\" aria-controls=\"ws-panel-S1-3\" id=\"ws-btn-S1-3\">\n    <span class=\"company-tag\">Carl Zeiss MIcroscopy GmbH<\/span>\n    <span class=\"ws-title\">Instant Volumetric Imaging of Fast Biological Dynamics with ZEISS Lightfield 4D<\/span>\n    <span class=\"chevron\" aria-hidden=\"true\"><svg width=\"14\" height=\"14\" viewBox=\"0 0 16 16\" fill=\"none\"><path d=\"M4 6l4 4 4-4\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/span>\n  <\/button>\n  <div class=\"ws-panel\" id=\"ws-panel-S1-3\" role=\"region\" aria-labelledby=\"ws-btn-S1-3\" hidden>\n    <div class=\"panel-meta\">\n      <span>&#x1f3a4; Christine Strasser<\/span>\n      <span>&#x1f4cd; ZEISS Room<\/span>\n    <\/div>\n    <div class=\"panel-abstract\"><p>Biological processes occur across spatial and temporal scales that increasingly challenge conventional three dimensional imaging approaches. Capturing fast physiological dynamics in living systems requires volumetric imaging methods that provide high temporal resolution without compromising spatial context. The recently introduced Lightfield 4D technology, integrated into the ZEISS LSM 910 and LSM 990 platforms, addresses this challenge by enabling instant volumetric acquisition within a single camera exposure.<\/p><p>Implemented as a modular component of the LSM 910 and LSM 990, ZEISS Lightfield 4D allows for mixed modality workflows where images of the sample specimen can be captured at high temporal resolution with the Lightfield and then LSM for higher spatial resolution, spectral multiplex imaging, molecular dynamics measurements, and photomanipulation. This flexibility supports experiments across a wide range of sample types, including cultured cells, organoids, tissue sections, and small model organisms.<\/p><p>In this presentation, we will introduce the principles underlying Lightfield 4D imaging on the ZEISS LSM 910 and LSM 990 platforms and discuss how instant volumetric acquisition reshapes experimental design for dynamic biological systems. Application examples will be shown to illustrate how high speed 4D imaging can reveal biological processes that are difficult or impossible to capture using sequential z stack approaches, as well as highlighting new opportunities for physiological and functional imaging.<\/p><\/div>\n  <\/div>\n<\/div><div class=\"ws-item\">\n  <button class=\"ws-trigger\" aria-expanded=\"false\" aria-controls=\"ws-panel-S1-4\" id=\"ws-btn-S1-4\">\n    <span class=\"company-tag\">CrestOptics<\/span>\n    <span class=\"ws-title\">Deep into details: High-Resolution Imaging of thick samples in the Low-to-Mid Magnification range with CrestOptics X-Light V3 Spinning Disk and DeepSIM<\/span>\n    <span class=\"chevron\" aria-hidden=\"true\"><svg width=\"14\" height=\"14\" viewBox=\"0 0 16 16\" fill=\"none\"><path d=\"M4 6l4 4 4-4\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/span>\n  <\/button>\n  <div class=\"ws-panel\" id=\"ws-panel-S1-4\" role=\"region\" aria-labelledby=\"ws-btn-S1-4\" hidden>\n    <div class=\"panel-meta\">\n      <span>&#x1f3a4; Laura Ferrucci ; Gregory Perry<\/span>\n      <span>&#x1f4cd; CRESTOPTICS Room<\/span>\n    <\/div>\n    <div class=\"panel-abstract\"><p>Imaging thick biological specimens, such as tissues, small animal models or 3D organoids, often forces researchers to compromise between achieving high subcellular resolution and capturing a large field of view (FOV). In this workshop we present the CrestOptics X-Light V3 Spinning Disk and DeepSIM Super-Resolution system, a correlative imaging platform that combines large-field imaging in confocal mode with a seamless transition to SIM super-resolution, all using shared optics and standard sample preparation. The X-Light V3 enables fast confocal acquisition of large 3D datasets with rapid deep Z-stacks and vignetting-free tile scans thanks to its extra-large FOV coupled with superior illumination flatness and enhanced sensitivity. The DeepSIM super-resolves intricate structures across samples of increasing morphological complexity and thickness, imaging at the same Z-depth of the Spinning Disk Confocal microscope. CrestOptics DeepSIM, indeed, offers full compatibility with the Low-to-Mid Magnification range, down to the 20x dry lens, where wider FOV, longer Working Distance and higher brightness of the Low-to-Mid Mag objectives are essential features for approaching thick biological samples. We will demonstrate the capabilities of this integrated workflow for high-content analysis of small animal models, organoids and tissues, with real case examples on a number of thick samples commonly imaged in any imaging facility.<\/p><\/div>\n  <\/div>\n<\/div><div class=\"ws-item\">\n  <button class=\"ws-trigger\" aria-expanded=\"false\" aria-controls=\"ws-panel-S1-5\" id=\"ws-btn-S1-5\">\n    <span class=\"company-tag\">CSR Europe GmbH<\/span>\n    <span class=\"ws-title\">Global Launch of Cell Xtreme: The First Commercial Microscope-Integrated Super-Resolution Label-Free Imaging System<\/span>\n    <span class=\"chevron\" aria-hidden=\"true\"><svg width=\"14\" height=\"14\" viewBox=\"0 0 16 16\" fill=\"none\"><path d=\"M4 6l4 4 4-4\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/span>\n  <\/button>\n  <div class=\"ws-panel\" id=\"ws-panel-S1-5\" role=\"region\" aria-labelledby=\"ws-btn-S1-5\" hidden>\n    <div class=\"panel-meta\">\n      <span>&#x1f3a4; Peter Laskey; Christiaan Stuut<\/span>\n      <span>&#x1f4cd; CSR BIOTECH Room<\/span>\n    <\/div>\n    <div class=\"panel-abstract\"><p>Join us for the global launch of Cell Xtreme, the first microscope-integrated, label-free imaging system combining next-generation Structured Illumination Microscopy (SIM) with advanced Optical Diffraction Tomography (ODT).<\/p><p>In this workshop, we will introduce our innovative dual-modality platform, featuring the seamless integration of our leading technology MI-SIM and label-free MI-ODT for live-cell imaging. We will demonstrate how ODT provides comprehensive morphological context, enabling the identification of multiple subcellular structures without the need for labeling. Complementing this, SIM validates these structures and delivers super-resolution in live cell samples. Both imaging modalities are fully integrated and controlled through our advanced acquisition software IMAGER and supported by our dedicated data processing platform FINER, enabling streamlined workflows and high-quality quantitative analysis.<\/p><p>Live demonstrations of Cell Xtreme will showcase its unique capabilities in real-time imaging of living cells, highlighting the power of truly integrated, label-free multimodal microscopy.<\/p><\/div>\n  <\/div>\n<\/div><div class=\"ws-item\">\n  <button class=\"ws-trigger\" aria-expanded=\"false\" aria-controls=\"ws-panel-S1-6\" id=\"ws-btn-S1-6\">\n    <span class=\"company-tag\">Evident<\/span>\n    <span class=\"ws-title\">EVIDENT FLUOVIEW FV5000 Laser Scanning Confocal &#8211; Reproducible Imaging with FLUOVIEW SMART and Performance Monitoring<\/span>\n    <span class=\"chevron\" aria-hidden=\"true\"><svg width=\"14\" height=\"14\" viewBox=\"0 0 16 16\" fill=\"none\"><path d=\"M4 6l4 4 4-4\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/span>\n  <\/button>\n  <div class=\"ws-panel\" id=\"ws-panel-S1-6\" role=\"region\" aria-labelledby=\"ws-btn-S1-6\" hidden>\n    <div class=\"panel-meta\">\n      <span>&#x1f3a4; Robert Kasper<\/span>\n      <span>&#x1f4cd; EVIDENT Room<\/span>\n    <\/div>\n    <div class=\"panel-abstract\"><p>This EVIDENT workshop presents the FLUOVIEW FV5000 confocal system on the IX85 platform, with a focus on workflow automation, reproducibility, and quantitative imaging enabled by the FLUOVIEW SMART AI guided software interface and integrated performance monitoring tools.<\/p><p>The session introduces how FLUOVIEW SMART streamlines the imaging process by automating key setup steps, including sample detection, focus alignment, and laser power optimization. By removing manual adjustment layers, the system reduces user-dependent variability and enables consistent imaging outcomes across users, experiments, and sites.<\/p><p>A dedicated part of the workshop covers the Microscope Performance Monitor, demonstrating how system performance can be tracked, validated, and documented over time especially in a muti-user environment In addition to our Laser Power Monitor and and SilVIR detector, this enables reproducible imaging conditions and supports long-term data comparability and truly quantitative imaging experiments<\/p><p>The workshop further highlights how the FV5000 supports reliable, quantitative fluorescence imaging through controlled photon detection and a wide dynamic range. This allows users to move from relative intensity measurements toward more robust and reviewable data, addressing increasing demands for reproducibility and data integrity in advanced imaging workflows.<\/p><\/div>\n  <\/div>\n<\/div><div class=\"ws-item\">\n  <button class=\"ws-trigger\" aria-expanded=\"false\" aria-controls=\"ws-panel-S1-7\" id=\"ws-btn-S1-7\">\n    <span class=\"company-tag\">Intelligent Imaging Innovations GmbH<\/span>\n    <span class=\"ws-title\">PlantScope: Live Root Tip Tracking for Dynamic Plant Imaging<\/span>\n    <span class=\"chevron\" aria-hidden=\"true\"><svg width=\"14\" height=\"14\" viewBox=\"0 0 16 16\" fill=\"none\"><path d=\"M4 6l4 4 4-4\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/span>\n  <\/button>\n  <div class=\"ws-panel\" id=\"ws-panel-S1-7\" role=\"region\" aria-labelledby=\"ws-btn-S1-7\" hidden>\n    <div class=\"panel-meta\">\n      <span>&#x1f3a4; Daniel von Wangenheim; Nicole Zobiack; Ben Atkinson<\/span>\n      <span>&#x1f4cd; 3i Room<\/span>\n    <\/div>\n    <div class=\"panel-abstract\"><p>PlantScope is a turnkey live-cell imaging platform designed for long-term observation of growing plant roots with automated tracking. The system enables researchers to follow root tip dynamics over hours to days while maintaining plants in a physiologically relevant upright growth orientation using a unique vertical stage design.<\/p><p>A key capability of PlantScope is automated live root tip tracking. As roots grow and change direction, the system continuously follows the advancing tip and acquires high-resolution image montages that capture the entire developmental cycle, including the meristematic, elongation, and differentiation zones at every time point. This enables comprehensive visualization of root growth dynamics, cell division patterns, tropic responses, and developmental trajectories across extended time-lapse experiments.<\/p><p>At the core of PlantScope, SlideBook and the Yokogawa CSU-W1 spinning disk confocal enable robust capture of dynamic biological processes in realtime. The CSU-W1 delivers rapid acquisition speeds, high sensitivity and multi-color sub-cellular imaging optimized for live samples. SlideBook software seamlessly coordinates all hardware &#8211; including microscope, camera, stage, spinning disk, laser launch, NIR lamp &#8211; in combination with automated tracking and adaptive imaging workflows in a familiar, easy-to-use interface.<\/p><p>In this workshop, we will demonstrate the PlantScope Marianas multimodal microscopy system with root tip tracking capabilities, showcasing automated long-term imaging workflows and high-resolution visualization of dynamic root development.<\/p><\/div>\n  <\/div>\n<\/div><div class=\"ws-item\">\n  <button class=\"ws-trigger\" aria-expanded=\"false\" aria-controls=\"ws-panel-S1-8\" id=\"ws-btn-S1-8\">\n    <span class=\"company-tag\">Leica<\/span>\n    <span class=\"ws-title\">Viventis SCAPE: New light sheet microscopy platform for high speed 3D imaging using standard sample carriers<\/span>\n    <span class=\"chevron\" aria-hidden=\"true\"><svg width=\"14\" height=\"14\" viewBox=\"0 0 16 16\" fill=\"none\"><path d=\"M4 6l4 4 4-4\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/span>\n  <\/button>\n  <div class=\"ws-panel\" id=\"ws-panel-S1-8\" role=\"region\" aria-labelledby=\"ws-btn-S1-8\" hidden>\n    <div class=\"panel-meta\">\n      <span>&#x1f3a4; Judith Reddington<\/span>\n      <span>&#x1f4cd; LEICA Room<\/span>\n    <\/div>\n    <div class=\"panel-abstract\"><p>S. Untucht, P. Rodriguez, M. Beljan, K. Ritschel, A. Wede, A. Schmitz, B. Deissler, Z. Jiang, V. Augustin, J. Pearson, S. Schicktanz, F. Fahrbach, J. Reddington<\/p><p>Leica Microsystems CMS GmbH, Mannheim, Germany.<\/p><p>Here we present the new Leica Viventis SCAPE, based on oblique plane microscopy (OPM)\u00b9 and swept confocally aligned planar excitation (SCAPE)\u00b2,\u00b3 technologies.<\/p><p>This system is designed for high-speed, high-throughput volumetric light sheet imaging and is compatible with commonly used carriers, including glass slides, Petri dishes, and well plates. Viventis SCAPE enables fast 3D imaging without the need for specialized holders or deviations from common sample mounting protocols.<\/p><p>We demonstrate the intuitively designed Viventis SCAPE workflow, from straightforward sample mounting in standard carriers and streamlined software integration to fast volumetric acquisition. Practical examples will illustrate how Viventis SCAPE enables high-speed 3D imaging of a wide range of specimens, including 2D cell culture, 3D tissues, organoids, and small organisms, providing new opportunities for observing biological dynamics in real time.<\/p><p>Join this session to discover how Viventis SCAPE delivers fast, gentle, and accessible light sheet imaging\u2014bringing high-speed 3D microscopy into standard laboratory workflows.<\/p><p>1. Dunsby, C. et al. Optically sectioned imaging by oblique plane microscopy. Opt. Express 16, 20306\u201320316 (2008).<\/p><p>2. Bouchard, M. B. et al. Swept confocally-aligned planar excitation (SCAPE) microscopy for high-speed volumetric imaging of behaving organisms. Nat. Photonics 9, 113\u2013119 (2015).<\/p><p>3. Voleti, V. et al. Real-time volumetric microscopy of in vivo dynamics and large-scale samples with SCAPE 2.0. Nat. Methods 16, 1054\u20131062 (2019).<\/p><\/div>\n  <\/div>\n<\/div><div class=\"ws-item\">\n  <button class=\"ws-trigger\" aria-expanded=\"false\" aria-controls=\"ws-panel-S1-9\" id=\"ws-btn-S1-9\">\n    <span class=\"company-tag\">Miltenyi Biotec B.V. &amp; Co. KG<\/span>\n    <span class=\"ws-title\">Light Sheet Microscopy at LightSpeed: Transforming 3D Imaging with UltraMicroscope Blaze&#x2122;<\/span>\n    <span class=\"chevron\" aria-hidden=\"true\"><svg width=\"14\" height=\"14\" viewBox=\"0 0 16 16\" fill=\"none\"><path d=\"M4 6l4 4 4-4\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/span>\n  <\/button>\n  <div class=\"ws-panel\" id=\"ws-panel-S1-9\" role=\"region\" aria-labelledby=\"ws-btn-S1-9\" hidden>\n    <div class=\"panel-meta\">\n      <span>&#x1f3a4; Guruchandar Arulmozhivarman;Afshin Khalili ; Luis Muniz<\/span>\n      <span>&#x1f4cd; MILTENYI Room<\/span>\n    <\/div>\n    <div class=\"panel-abstract\"><p>Visualizing the three-dimensional architecture of complex biological specimens has traditionally required labor-intensive workflows and imaging times ranging from hours to days. To overcome these limitations, Miltenyi Biotec offers an integrated 3D imaging ecosystem that streamlines sample processing, acquisition, visualization, and analysis. In this workshop, we will present live demonstrations of the UltraMicroscope Blaze&#x2122; and its latest innovations for high-speed, scalable light sheet imaging. Attendees will experience the new LightSpeed mode, enabling up to 60-fold faster image acquisition for large-volume specimens, alongside the MACS iQ View \u2013 3D Large Volume package for efficient visualization and handling of large multidimensional datasets with OCTAGON PRIME. We will further highlight an integrated 3D\/2D workflow combining volumetric imaging with high-plex spatial analysis, providing a comprehensive solution for accelerated, data-rich biological discovery.<\/p><\/div>\n  <\/div>\n<\/div><div class=\"ws-item\">\n  <button class=\"ws-trigger\" aria-expanded=\"false\" aria-controls=\"ws-panel-S1-10\" id=\"ws-btn-S1-10\">\n    <span class=\"company-tag\">Nikon Europe BV<\/span>\n    <span class=\"ws-title\">Introducing the New Scanning Solution from Nikon \u2013 Slide Scanning Made Easy Without Compromising on Image Quality<\/span>\n    <span class=\"chevron\" aria-hidden=\"true\"><svg width=\"14\" height=\"14\" viewBox=\"0 0 16 16\" fill=\"none\"><path d=\"M4 6l4 4 4-4\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/span>\n  <\/button>\n  <div class=\"ws-panel\" id=\"ws-panel-S1-10\" role=\"region\" aria-labelledby=\"ws-btn-S1-10\" hidden>\n    <div class=\"panel-meta\">\n      <span>&#x1f3a4; Orsolya Szilagyi<\/span>\n      <span>&#x1f4cd; NIKON Room<\/span>\n    <\/div>\n    <div class=\"panel-abstract\"><p>Steep learning curves, inconsistent image quality, and long scanning times are common challenges in slide scanning workflows. The NIS-Elements Slide Scanning solution overcomes them with an intuitive, guided workflow and pre optimized settings that eliminate the need for extensive training. High quality optics and AI powered focusing ensure sharp, reliable images while automatically identifying and capturing all regions of interest at optimal settings. High speed scanning and precise tiling reduce whole tissue acquisition to under a minute, and a streamlined gallery view enables easy visualization and downstream analysis directly within NIS Elements.<\/p><p>The NIS Elements Slide Scanning module is a powerful software solution in combination with the reliable Ni E upright microscope offers:<\/p><p>\u2022 Scanning of up to 8 standard or 4 double slides simultaneously<\/p><p>\u2022 Full automation combined with premium grade optics<\/p><p>\u2022 High resolution, high speed imaging in both brightfield and fluorescence<\/p><p>\u2022 An intuitive, user friendly interface<\/p><p>During the workshop, the complete workflow of the scanner will be demonstrated alongside practical examples showing how acquired images can be further enhanced using the powerful post processing and analysis tools available within the NIS Elements software.<\/p><p>Explore the future of slide scanning by registering for the upcoming workshop and discover how this innovative solution can enhance research workflows and laboratory efficiency.<\/p><p>Reserve a spot today and take the next step in advancing microscopy capabilities with Nikon.<\/p><\/div>\n  <\/div>\n<\/div><div class=\"ws-item\">\n  <button class=\"ws-trigger\" aria-expanded=\"false\" aria-controls=\"ws-panel-S1-11\" id=\"ws-btn-S1-11\">\n    <span class=\"company-tag\">Oxford Instruments<\/span>\n    <span class=\"ws-title\">Enabling Live cell imaging in BSL environments<\/span>\n    <span class=\"chevron\" aria-hidden=\"true\"><svg width=\"14\" height=\"14\" viewBox=\"0 0 16 16\" fill=\"none\"><path d=\"M4 6l4 4 4-4\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/span>\n  <\/button>\n  <div class=\"ws-panel\" id=\"ws-panel-S1-11\" role=\"region\" aria-labelledby=\"ws-btn-S1-11\" hidden>\n    <div class=\"panel-meta\">\n      <span>&#x1f3a4; David Pointu<\/span>\n      <span>&#x1f4cd; OXFORD INSTRUMENTS Room<\/span>\n    <\/div>\n    <div class=\"panel-abstract\"><p>The BC43 Benchtop Spinning Disk Confocal System, developed by Oxford Instruments, is designed to address the critical challenges of high-containment Biosafety BSL-2+\/3\/4 laboratories. This compact, high-performance system is validated for extreme fumigation protocols, ensuring safe decontamination and uninterrupted operation without voiding warranty. Its lightweight, light-tight benchtop design eliminates the need for dedicated darkrooms or additional infrastructure, making it ideal for restricted laboratory spaces.<\/p><p>Key Innovations<\/p><p>A key innovation of the BC43 is its comprehensive service support package, specifically tailored for BSL-2+\/3\/4 environments where external service visits are often impractical due to containment constraints. The system includes a dedicated BSL service solution that provides:<\/p><p>\u2022 Spare parts to enable rapid on-site repairs, minimizing downtime<\/p><p>\u2022 Remote support tools to troubleshoot issues in real-time, reducing the need for physical intervention and ensuring compliance with containment protocols.<\/p><p>\u2022 Certified training programs for customers, empowering facility staff to perform routine maintenance and servicing under PPE constraints.<\/p><p>\u2022 By integrating performance, containment adaptability, and proactive service support, the BC43 delivers a fully autonomous imaging solution for high-containment research, eliminating service gaps and maintaining workflow integrity.<\/p><p>A key innovation of the BC43 is its support for defined fumigation workflows, enabling routine full system decontamination while maintaining system integrity.<\/p><p>The Fusion software, equipped with guided protocols, facilitates fast and reliable data acquisition even under PPE constraints.<\/p><p>By combining performance, containment adaptability, and ease of use, the BC43 provides a robust solution for advanced bio-imaging in high-containment research facilities.<\/p><\/div>\n  <\/div>\n<\/div><div class=\"ws-item\">\n  <button class=\"ws-trigger\" aria-expanded=\"false\" aria-controls=\"ws-panel-S1-12\" id=\"ws-btn-S1-12\">\n    <span class=\"company-tag\">Oxford Nanoimaging Ltd<\/span>\n    <span class=\"ws-title\">From Basics to Brilliance<\/span>\n    <span class=\"chevron\" aria-hidden=\"true\"><svg width=\"14\" height=\"14\" viewBox=\"0 0 16 16\" fill=\"none\"><path d=\"M4 6l4 4 4-4\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/span>\n  <\/button>\n  <div class=\"ws-panel\" id=\"ws-panel-S1-12\" role=\"region\" aria-labelledby=\"ws-btn-S1-12\" hidden>\n    <div class=\"panel-meta\">\n      <span>&#x1f3a4; Claudia Zagami<\/span>\n      <span>&#x1f4cd; ONI Room<\/span>\n    <\/div>\n    <div class=\"panel-abstract\"><p>Using ONI\u2019s Nanoimager with the Discovery KitTM: dSTORM in cells, the ultimate kit to prepare your samples for super-resolution imaging.<\/p><p>The Nanoimager is a compact and state-of-the-art microscope, offering quantitative analysis for localisation-based imaging (dSTORM, PALM, and DNA-PAINT), single-particle tracking, and single-molecule FRET. Designed to operate on any lab bench and with a footprint smaller than a piece of A4 paper, it simplifies super-resolution imaging.<\/p><p>The ONI Discovery Kit&#x2122;: dSTORM in cells 2 provides a modular workflow for immunofluorescent labelling in cultured cells, which allows you to confidently detect extra and intracellular proteins in two channels with 20 nm resolution and high sensitivity in your own samples. You provide the cells and custom antibodies; we provide the rest!<\/p><p>This workshop is intended for scientists who are looking to brush up on their knowledge of dSTORM and to apply super-resolution to further their research at the molecular level.<\/p><\/div>\n  <\/div>\n<\/div><div class=\"ws-item\">\n  <button class=\"ws-trigger\" aria-expanded=\"false\" aria-controls=\"ws-panel-S1-13\" id=\"ws-btn-S1-13\">\n    <span class=\"company-tag\">Phaseview<\/span>\n    <span class=\"ws-title\">From Sample to Image \u2014 A Practical Approach to Light-Sheet Microscopy<\/span>\n    <span class=\"chevron\" aria-hidden=\"true\"><svg width=\"14\" height=\"14\" viewBox=\"0 0 16 16\" fill=\"none\"><path d=\"M4 6l4 4 4-4\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/span>\n  <\/button>\n  <div class=\"ws-panel\" id=\"ws-panel-S1-13\" role=\"region\" aria-labelledby=\"ws-btn-S1-13\" hidden>\n    <div class=\"panel-meta\">\n      <span>&#x1f3a4; Igor Lyuboshenko<\/span>\n      <span>&#x1f4cd; PHASEVIEW \/ THORLABS ROOM<\/span>\n    <\/div>\n    <div class=\"panel-abstract\"><p>Light-sheet microscopy is often approached from a system perspective, while in practice imaging results are primarily determined by the sample itself.<\/p><p>This workshop presents a sample-first approach, focusing on how sample geometry, mounting, and imaging conditions influence the final image quality. Through simple and practical demonstrations, we illustrate how light-sheet imaging can be performed using a minimal and robust setup, integrated with an existing microscope.<\/p><p>Participants will see how different sample configurations, including mounting in air or in medium, affect image quality and reproducibility. The workshop highlights how straightforward workflows can be used to validate samples, optimize preparation, and obtain reliable imaging results without introducing unnecessary system complexity.<\/p><p>This approach is particularly relevant for laboratories exploring light-sheet microscopy for the first time, as well as for facilities evaluating whether this technique is suitable for their applications. Emphasis is placed on accessibility, reproducibility, and practical decision-making in real experimental conditions.<\/p><p>The session concludes with an open discussion, where participants are encouraged to present their own samples and challenges for further exchange.<\/p><\/div>\n  <\/div>\n<\/div><div class=\"ws-item\">\n  <button class=\"ws-trigger\" aria-expanded=\"false\" aria-controls=\"ws-panel-S1-14\" id=\"ws-btn-S1-14\">\n    <span class=\"company-tag\">PicoQuant<\/span>\n    <span class=\"ws-title\">Luminosa and NovaFLIM: From Lifetime Data to Quantitative Insights across scales<\/span>\n    <span class=\"chevron\" aria-hidden=\"true\"><svg width=\"14\" height=\"14\" viewBox=\"0 0 16 16\" fill=\"none\"><path d=\"M4 6l4 4 4-4\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/span>\n  <\/button>\n  <div class=\"ws-panel\" id=\"ws-panel-S1-14\" role=\"region\" aria-labelledby=\"ws-btn-S1-14\" hidden>\n    <div class=\"panel-meta\">\n      <span>&#x1f3a4; Isabel Gross;Fabian Jolmes;Fabio Barachati;Johan Hummert<\/span>\n      <span>&#x1f4cd; PICOQUANT Room<\/span>\n    <\/div>\n    <div class=\"panel-abstract\"><p>Quantitative time-resolved fluorescence techniques like Fluorescence Lifetime Imaging (FLIM) have become more attractive recently to study mechanisms driven by phase separation or to sense the cellular environment, for example.<\/p><p>PicoQuant`s innovative confocal microscope Luminosa combines state-of-the-art hardware with cutting edge software to deliver high quality data while simplifying daily operation. The software includes several features which improve the ease of use and reproducibility of experiments, including context-based workflows, sample-free auto-alignment and excitation laser power calibration. Still, if required for new method development every optomechanical component can be fully accessible.<\/p><p>We will show how FLIM is streamlined with Luminosa.. In combination with GPU-accelerated algorithms, this enables high-speed automated analysis of FLIM images. The InstaFLIM analysis workflow suggests the best fitting model based on statistical arguments, requiring minimal user interaction. The additional NovaFLIM software (also available for FLIM images acquired with LSM Upgrade kits) enables more extensive and advanced image analysis offering an holistic FLIM analysis process including exponential decay analysis, phasor plots and pattern matching.<\/p><p>The design of Luminosa`s software makes all data easily accessible. It works with the open, well documented PTU data format, enabling custom analysis while in includes enhanced, well structured metadata and ome-tiff exports.<\/p><\/div>\n  <\/div>\n<\/div><div class=\"ws-item\">\n  <button class=\"ws-trigger\" aria-expanded=\"false\" aria-controls=\"ws-panel-S1-15\" id=\"ws-btn-S1-15\">\n    <span class=\"company-tag\">Tomocube<\/span>\n    <span class=\"ws-title\">Holotomography for Every Lab: Label-Free 3D Live Imaging with the HT-X1 mini<\/span>\n    <span class=\"chevron\" aria-hidden=\"true\"><svg width=\"14\" height=\"14\" viewBox=\"0 0 16 16\" fill=\"none\"><path d=\"M4 6l4 4 4-4\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/span>\n  <\/button>\n  <div class=\"ws-panel\" id=\"ws-panel-S1-15\" role=\"region\" aria-labelledby=\"ws-btn-S1-15\" hidden>\n    <div class=\"panel-meta\">\n      <span>&#x1f3a4; Bruno Combettes; Reza Pari-Nejad; Daniel Ghete<\/span>\n      <span>&#x1f4cd; TOMOCUBE Room<\/span>\n    <\/div>\n    <div class=\"panel-abstract\"><p>Holotomography (HT) is a powerful tool for label-free, quantitative 3D imaging of living cells. By reconstructing the three-dimensional refractive index (RI) distribution of biological specimens, HT reveals subcellular structures\u2014including nuclei, mitochondria, and lipid droplets\u2014without the need for exogenous labels or staining, preserving the native physiological state of cells throughout the experiment.<\/p><p>In this workshop, we introduce the HT-X1 mini, the latest addition to Tomocube\u2019s HT-X1 series. The HT-X1 mini brings full HT performance to an affordable, everyday-ready platform designed to lower the barrier to high-quality label-free imaging. As a table-top system, it fits seamlessly into culture rooms and space-limited environments, and operates via a laptop-based workflow with minimal setup requirements.<\/p><p>Despite its compact form factor, the HT-X1 mini delivers comparable performance to other HT-X1 series systems, supporting high-resolution 3D structural visualization and quantitative RI-based analysis through TomoAnalysis&#x2122; workflows. The system is expandable with optional modules\u2014including a stage-top incubator for long-term live-cell imaging, a fluorescence light engine for target-specific signals, additional HT wavelengths, and a laser-based autofocus sensor\u2014making it adaptable as research needs evolve.<\/p><p>This workshop will present representative applications enabled by the HT-X1 mini, including cell morphology observation, quantitative phenotyping, and routine live-cell culture monitoring. We will demonstrate how RI-based imaging provides immediate biological insight\u2014from single-cell morphodynamics to subcellular organelle tracking\u2014enabling rich structural insight from label-free RI data. Overall, we aim to show that HT is no longer a specialized capability reserved for a few labs, but an accessible, everyday imaging modality available to any cell biology researcher.<\/p><\/div>\n  <\/div>\n<\/div><div class=\"ws-item tellmi-item\">\n  <button class=\"ws-trigger\" aria-expanded=\"false\" aria-controls=\"ws-panel-S1-16\" id=\"ws-btn-S1-16\">\n    <span class=\"company-tag tellmi-tag\">TELLMI Workshop *<\/span>\n    <span class=\"ws-title\">The Joy of Taking Things Apart: A Workshop for Hackers &amp; Hardware Tinkerers<\/span>\n    <span class=\"chevron\" aria-hidden=\"true\"><svg width=\"14\" height=\"14\" viewBox=\"0 0 16 16\" fill=\"none\"><path d=\"M4 6l4 4 4-4\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/span>\n  <\/button>\n  <div class=\"ws-panel\" id=\"ws-panel-S1-16\" role=\"region\" aria-labelledby=\"ws-btn-S1-16\" hidden>\n    <div class=\"panel-meta\">\n      <span>&#x1f3a4; Jens Eriksson<\/span>\n      <span>&#x1f4cd; TELLMI A<\/span>\n    <\/div>\n    <div class=\"panel-abstract\"><p>This workshop brings together people with a relaxed attitude toward warranties, who enjoy opening, repairing, and repurposing old equipment. Many imaging facilities rely on curiosity driven troubleshooting: fixing hardware without service contracts, learning from dismantled instruments, and salvaging useful parts from \u201cuniversity electronic trash.\u201d<\/p><p>Let\u2019s share practical repair experiences, common failure modes, tips for safe disassembly, and examples of how obsolete equipment can be reused for training or prototyping<\/p><\/div>\n  <\/div>\n<\/div><div class=\"ws-item tellmi-item\">\n  <button class=\"ws-trigger\" aria-expanded=\"false\" aria-controls=\"ws-panel-S1-17\" id=\"ws-btn-S1-17\">\n    <span class=\"company-tag tellmi-tag\">TELLMI Workshop *<\/span>\n    <span class=\"ws-title\">Estimation of the Photon Conversion Factor, Noise, and Dynamic Range of Light Microscope Detection Systems (QUAREP-LiMi WG2)<\/span>\n    <span class=\"chevron\" aria-hidden=\"true\"><svg width=\"14\" height=\"14\" viewBox=\"0 0 16 16\" fill=\"none\"><path d=\"M4 6l4 4 4-4\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/span>\n  <\/button>\n  <div class=\"ws-panel\" id=\"ws-panel-S1-17\" role=\"region\" aria-labelledby=\"ws-btn-S1-17\" hidden>\n    <div class=\"panel-meta\">\n      <span>&#x1f3a4; Britta Schroth-Diez\nValeria Berno,\nKees van der Oord<\/span>\n      <span>&#x1f4cd; TELLMI B<\/span>\n    <\/div>\n    <div class=\"panel-abstract\"><p>Presenters: Valeria Berno1, Britta Schroth-Diez2, Kees van der Oord3<\/p><p>1. ALEMBIC Advanced Light and Electron Microscopy BioImaging Center, Universit\u00e0 Vita-Salute San Raffaele, Milano Italy<\/p><p>2. Light Microscopy Facility, Max Planck Institute of Molecular Cell Biology and Genetics, Dresden Germany<\/p><p>3. Nikon Europe BV<\/p><p>QUAREP-LiMi Working Group 2 (WG2) developed a set of protocols [1] which focuses on the characterization and monitoring of the performance of light microscope detection systems, which collects light from the sample at the microscope and helps to convert the \u201carbitrary digital units\u201d (ADU) provided by the microscope into \u201cnumber of photons\u201d detected.<\/p><p>The protocols collection is built around the photon transfer curve (PTC) method [2]. The goals of these protocols are to achieve 1) experiment quality control, 2) monitoring instrument quality over time, and 3) detailed detection system characterization. The protocols include both point and area detectors, allowing researchers to select appropriate methods based on their specific detection systems.<\/p><p>During the workshop, we will demonstrate how to use the protocols to acquire images and upload them in the software [3] to characterize the photon conversation factor (PCF photons\/ADU), readnoise, background and dynamic range of a light microscopy detection system. The set includes protocols on sample preparation, data acquisition, and analysis. Furthermore, we will demonstrate its integration in the QUAREP-LiMi Tool Kit [4].<\/p><p>[1] Characterization of the Photon Conversion Factor, Noise, and Dynamic Range of Light Microscope Detection Systems &#8211; https:\/\/dx.doi.org\/10.17504\/protocols.io.14egn61pyl5d\/v1<\/p><p>[2] Janesick JR. 2007. Photon Transfer. SPIE. https:\/\/dx.doi.org\/10.1117\/3.725073<\/p><p>[3] McFadden D. 2022. GUI Calibration Tool. https:\/\/github.com\/bionanoimaging\/NanoImagingPack\/releases<\/p><p>[4] QUAREP-LiMi Tool Kit, https:\/\/github.com\/QUAREP-LiMi\/QUAREP-LiMi-Tool-Kit<\/p><\/div>\n  <\/div>\n<\/div><div class=\"ws-item tellmi-item\">\n  <button class=\"ws-trigger\" aria-expanded=\"false\" aria-controls=\"ws-panel-S1-18\" id=\"ws-btn-S1-18\">\n    <span class=\"company-tag tellmi-tag\">TELLMI Workshop *<\/span>\n    <span class=\"ws-title\">coLo\u2184: A Collaborative Board Game for Teaching Co-Localization Analysis<\/span>\n    <span class=\"chevron\" aria-hidden=\"true\"><svg width=\"14\" height=\"14\" viewBox=\"0 0 16 16\" fill=\"none\"><path d=\"M4 6l4 4 4-4\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/span>\n  <\/button>\n  <div class=\"ws-panel\" id=\"ws-panel-S1-18\" role=\"region\" aria-labelledby=\"ws-btn-S1-18\" hidden>\n    <div class=\"panel-meta\">\n      <span>&#x1f3a4; Arne Seitz<\/span>\n      <span>&#x1f4cd; Auditorium<\/span>\n    <\/div>\n    <div class=\"panel-abstract\"><p>Light microscopy has revolutionized the field of biology by allowing researchers to visualize and study biological molecules in their native environments with exceptional precision. The spatial localization of biomolecules like proteins, mRNA, and DNA at various hierarchical levels has provided invaluable insights into cellular processes, signaling pathways, and interactions within biological systems.<\/p><p>Unsurprisingly, the interplay and interaction of biomolecules have been fundamental to drive this understanding. Therefore, co-localization studies are among the most common workflows in BioImage Analysis. Hidden behind this umbrella term are related concepts such as co-expression, co-occurrence, co-distribution, and correlation. Consequently, co-localization analysis methods are controversial regarding the accurate use of existing tools and methods.<\/p><p>Furthermore, teaching the various co-localization concepts is challenging because it requires knowledge and experience across multiple fields, including sample preparation, image acquisition, image analysis, and data interpretation. To support theoretical course material on this topic and help students emerge with the concepts, we developed a collaborative board game, coLo\u2184, on co-localization.<\/p><p>coLo\u2184 integrates the teaching concepts of Hands-on Learning and Storytelling, offering a unique and engaging visual approach to deepen understanding of co-localization analysis. Thus, it is a unique and valuable addition to the bioimage analysis teaching toolbox.<\/p><\/div>\n  <\/div>\n<\/div>\n    <\/div>\n  <\/div>\n<\/div><div class=\"session-block\" id=\"S2\">\n  <button class=\"session-trigger\" aria-expanded=\"false\" aria-controls=\"session-panel-S2\" id=\"session-btn-S2\">\n    <span class=\"session-info\">\n      <span class=\"session-title\">Day 1 Session 2<\/span>\n      <span class=\"session-sub\">&#x1f4c5; June 17 &nbsp;\u00b7&nbsp; &#x23f0; 13:45\u201314:45<\/span>\n    <\/span>\n    <span class=\"session-count\">19 workshops<\/span>\n    <span class=\"session-chevron\" aria-hidden=\"true\"><svg width=\"20\" height=\"20\" viewBox=\"0 0 16 16\" fill=\"none\"><path d=\"M4 6l4 4 4-4\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/span>\n  <\/button>\n  <div class=\"session-panel\" id=\"session-panel-S2\" role=\"region\" aria-labelledby=\"session-btn-S2\" hidden>\n    <div class=\"ws-accordion\">\n      <div class=\"ws-item\">\n  <button class=\"ws-trigger\" aria-expanded=\"false\" aria-controls=\"ws-panel-S2-0\" id=\"ws-btn-S2-0\">\n    <span class=\"company-tag\">Abbelight<\/span>\n    <span class=\"ws-title\">Multiplexed STORM Imaging with Abbelight SAFe System Featuring Spectral Demixing<\/span>\n    <span class=\"chevron\" aria-hidden=\"true\"><svg width=\"14\" height=\"14\" viewBox=\"0 0 16 16\" fill=\"none\"><path d=\"M4 6l4 4 4-4\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/span>\n  <\/button>\n  <div class=\"ws-panel\" id=\"ws-panel-S2-0\" role=\"region\" aria-labelledby=\"ws-btn-S2-0\" hidden>\n    <div class=\"panel-meta\">\n      <span>&#x1f3a4; Tom Borianne<\/span>\n      <span>&#x1f4cd; ABBELIGHT Room<\/span>\n    <\/div>\n    <div class=\"panel-abstract\"><p>Super-resolution microscopy has made possible the exploration of biological systems at the nanoscale. One historical technique, STORM, uses a redox buffer to intermittently switch the fluorophores into a dark state to illuminate only a subset of molecules at a time and allows Single-Molecule Localization Microscopy (SMLM). Each blinking event is fitted to localize the position of the emitter with a 10 \u2013 20 nm spatial resolution, enabling the visualization of cellular structures and molecular organization at the nanoscale. In the past, STORM was generally conducted on a single target because the use of different fluorophores introduced chromatic aberrations and complexity in the design of imaging buffer composition.<\/p><p>In this workshop, we demonstrate Abbelight multiplexed STORM imaging, enabled by the SAFe platform workflow, which features Spectral Demixing, an advanced multi-color detection design. By imaging far-red dyes with small differences in emission spectra, Spectral Demixing allows the simultaneous imaging of up to 3 targets with a single imaging buffer and produces aberration-free colocalization analysis. In Abbelight NEO LiveImagingTM software, users have access to real time demixing of the targets, allowing them to decide early on if a FOV is worth the full acquisition and saving precious time on the instrument. Abbelight NEO AnalysisTM software integrates a bias-free demixing algorithm, giving the option to the user to choose between high data recovery, optimal demixing and minimal crosstalk. The result: a streamlined and accelerated imaging strategy that reduces acquisition time, avoids chromatic abberrations and maintains the highest colocalization accuracy with minimal crosstalk.<\/p><\/div>\n  <\/div>\n<\/div><div class=\"ws-item tba-item\">\n  <button class=\"ws-trigger\" aria-expanded=\"false\" aria-controls=\"ws-panel-S2-1\" id=\"ws-btn-S2-1\">\n    <span class=\"company-tag\">Abberior Instruments<\/span>\n    <span class=\"ws-title\">Abberior Workshop \u2014 title TBA<span class=\"tba-badge\">Details TBA<\/span><\/span>\n    <span class=\"chevron\" aria-hidden=\"true\"><svg width=\"14\" height=\"14\" viewBox=\"0 0 16 16\" fill=\"none\"><path d=\"M4 6l4 4 4-4\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/span>\n  <\/button>\n  <div class=\"ws-panel\" id=\"ws-panel-S2-1\" role=\"region\" aria-labelledby=\"ws-btn-S2-1\" hidden>\n    <div class=\"panel-meta\">\n      <span>&#x1f3a4; TBA<\/span>\n      <span>&#x1f4cd; ABBERIOR Room<\/span>\n    <\/div>\n    <div class=\"panel-abstract\"><p>Details to be announced.<\/p><\/div>\n  <\/div>\n<\/div><div class=\"ws-item\">\n  <button class=\"ws-trigger\" aria-expanded=\"false\" aria-controls=\"ws-panel-S2-2\" id=\"ws-btn-S2-2\">\n    <span class=\"company-tag\">Bruker<\/span>\n    <span class=\"ws-title\">Vutara VXL \u2013 Volumetric- and 3D-Single-Molecule-Localization Microscopy<\/span>\n    <span class=\"chevron\" aria-hidden=\"true\"><svg width=\"14\" height=\"14\" viewBox=\"0 0 16 16\" fill=\"none\"><path d=\"M4 6l4 4 4-4\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/span>\n  <\/button>\n  <div class=\"ws-panel\" id=\"ws-panel-S2-2\" role=\"region\" aria-labelledby=\"ws-btn-S2-2\" hidden>\n    <div class=\"panel-meta\">\n      <span>&#x1f3a4; Corentin Rousset<\/span>\n      <span>&#x1f4cd; BRUKER Room<\/span>\n    <\/div>\n    <div class=\"panel-abstract\"><p>Modern fluorescence microscopy applications need to be performed in natural environments of the structures of interests. This requires using large samples, like tissue slices, organoids\/spheroids or even whole model organisms. One of the main limitations of Single Molecule Localization Microscopy microscopes is their weak ability to image structures deeper than few nm of the coverslip.<\/p><p>Engineered with simplicity and functionality in mind, the Bruker Vutara VXL system is different, as it uses robust widefield illumination in combination with the patented Biplane detection for 3D imaging. With this combination entire volumes in up to 50 \u00b5m depth inside the sample can be resolved in 3D with 20 nm resolution. The comprehensive processing and analysis pipeline in the SRX software package provides insights into the 3D-distribution of the detected molecules within cells in their native environment.<\/p><\/div>\n  <\/div>\n<\/div><div class=\"ws-item\">\n  <button class=\"ws-trigger\" aria-expanded=\"false\" aria-controls=\"ws-panel-S2-3\" id=\"ws-btn-S2-3\">\n    <span class=\"company-tag\">Carl Zeiss MIcroscopy GmbH<\/span>\n    <span class=\"ws-title\">ZEISS Lattice SIM 5: Super-Resolution Across Scales \u2014 From Living Cells to Tissues and 3D Models<\/span>\n    <span class=\"chevron\" aria-hidden=\"true\"><svg width=\"14\" height=\"14\" viewBox=\"0 0 16 16\" fill=\"none\"><path d=\"M4 6l4 4 4-4\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/span>\n  <\/button>\n  <div class=\"ws-panel\" id=\"ws-panel-S2-3\" role=\"region\" aria-labelledby=\"ws-btn-S2-3\" hidden>\n    <div class=\"panel-meta\">\n      <span>&#x1f3a4; Cicerone Tudor<\/span>\n      <span>&#x1f4cd; ZEISS Room<\/span>\n    <\/div>\n    <div class=\"panel-abstract\"><p>For decades, the pursuit of sub-diffraction resolution has forced researchers into uncomfortable trade-offs: resolution gained at the cost of phototoxicity, imaging speed sacrificed for optical sectioning quality, or biological relevance compromised by sample preparation demands. ZEISS Lattice SIM 5 was designed from the ground up to resolve these conflicts.<\/p><p>At the core of the system lies a fundamentally different approach to structured illumination. Rather than projecting conventional grid patterns across a single plane, Lattice SIM generates an optimized three-dimensional lattice of light spots that structures illumination throughout the full depth of the sample. This produces sharper interference patterns, dramatically higher contrast, and half the light dose of classic SIM for the same information content. The SIM\u00b2 image reconstruction algorithm then transforms the acquired data into strikingly crisp, super-resolved images \u2014 in both fixed and living specimens.<\/p><p>In this hands-on workshop session, participants will explore the full versatility of the platform \u2014 from resolving subcellular architecture at high resolution to imaging dynamics in living cells and optically sectioning thick 3D models. We will also discuss how to match imaging mode to biological question, and demonstrate how the ZEN software environment integrates acquisition, reconstruction analysis into a single streamlined workflow.<\/p><\/div>\n  <\/div>\n<\/div><div class=\"ws-item\">\n  <button class=\"ws-trigger\" aria-expanded=\"false\" aria-controls=\"ws-panel-S2-4\" id=\"ws-btn-S2-4\">\n    <span class=\"company-tag\">CrestOptics<\/span>\n    <span class=\"ws-title\">Empowering live cell BIOmechanical imaging with correlative Brillouin technology<\/span>\n    <span class=\"chevron\" aria-hidden=\"true\"><svg width=\"14\" height=\"14\" viewBox=\"0 0 16 16\" fill=\"none\"><path d=\"M4 6l4 4 4-4\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/span>\n  <\/button>\n  <div class=\"ws-panel\" id=\"ws-panel-S2-4\" role=\"region\" aria-labelledby=\"ws-btn-S2-4\" hidden>\n    <div class=\"panel-meta\">\n      <span>&#x1f3a4; Gregory Perry<\/span>\n      <span>&#x1f4cd; CRESTOPTICS Room<\/span>\n    <\/div>\n    <div class=\"panel-abstract\"><p>Mechanobiology is an emerging field in life science, and the role of mechanical cues has gained relevance in the understanding of the physical state and function of biological systems. However, current gold standard techniques to measure biomechanical properties are invasive, mainly contact-based and limited to surface probing, they lack 3D sub-cellular resolution capabilities or they are not always suitable for multicellular environments.<\/p><p>Confocal Brillouin microscopy has recently emerged as an all-optical, contact- and label-free technique for in vivo 3D subcellular mapping of elasticity and viscosity distribution within cells and tissues, even in settings where physical contact is not possible, providing sufficient sensitivity to detect and monitor relevant biomechanical changes. In this talk, we will walk you through the technological challenges and advancements of the technique, showing representative examples of real biological experiments that highlight the potential of this technique, especially when integrated in an advanced spinning disk correlative confocal imaging platform<\/p><\/div>\n  <\/div>\n<\/div><div class=\"ws-item\">\n  <button class=\"ws-trigger\" aria-expanded=\"false\" aria-controls=\"ws-panel-S2-5\" id=\"ws-btn-S2-5\">\n    <span class=\"company-tag\">CSR Europe GmbH<\/span>\n    <span class=\"ws-title\">Multimodal Super-Resolution Microscopy: Seamless Integration of SIM, Spinning Disk, and Label-Free Modalities with Complete Control<\/span>\n    <span class=\"chevron\" aria-hidden=\"true\"><svg width=\"14\" height=\"14\" viewBox=\"0 0 16 16\" fill=\"none\"><path d=\"M4 6l4 4 4-4\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/span>\n  <\/button>\n  <div class=\"ws-panel\" id=\"ws-panel-S2-5\" role=\"region\" aria-labelledby=\"ws-btn-S2-5\" hidden>\n    <div class=\"panel-meta\">\n      <span>&#x1f3a4; Ipek Altinoglu; Shutang Zeng<\/span>\n      <span>&#x1f4cd; CSR BIOTECH Room<\/span>\n    <\/div>\n    <div class=\"panel-abstract\"><p>Modern microscopy is no longer defined by a single technique. Each modality brings unique strengths and limitations, and it is the combination of these approaches that unlocks the full potential of biological imaging. To truly maximize information from complex samples, multi-modal integration has become essential especially in super-resolution imaging. However, current workflows are often limited by fragmented software, inefficient modality switching, and challenging cross-modality data integration.<\/p><p>CSR Biotech\u2019s multi-modal super-resolution solutions overcome these challenges, enabling seamless integration of Structured Illumination Microscopy (SIM), Spinning Disk and label-free Optical Diffraction Tomography (ODT) imaging modalities. In this workshop, we will focus on dual-modality acquisitions with hands-on SIM and ODT, unified and automated workflow tools, intelligent image registration, and event-based triggering for smart microscopy to simplify complex experiments in multi-modal imaging.<\/p><p>Finally, we will introduce the FINER multi-modal image processing suite, which includes tools for resolution enhancement such as SIM and SACD, AI-assisted denoising and segmentation.<\/p><\/div>\n  <\/div>\n<\/div><div class=\"ws-item\">\n  <button class=\"ws-trigger\" aria-expanded=\"false\" aria-controls=\"ws-panel-S2-6\" id=\"ws-btn-S2-6\">\n    <span class=\"company-tag\">Evident<\/span>\n    <span class=\"ws-title\">Compact Multiphoton Imaging Platform with Fiber-Pigtailed MPE Lasers and SilVIR Non-Descanned Detection &#8211; EVIDENT FLUOVIEW FV5000MPE<\/span>\n    <span class=\"chevron\" aria-hidden=\"true\"><svg width=\"14\" height=\"14\" viewBox=\"0 0 16 16\" fill=\"none\"><path d=\"M4 6l4 4 4-4\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/span>\n  <\/button>\n  <div class=\"ws-panel\" id=\"ws-panel-S2-6\" role=\"region\" aria-labelledby=\"ws-btn-S2-6\" hidden>\n    <div class=\"panel-meta\">\n      <span>&#x1f3a4; Robert Kasper<\/span>\n      <span>&#x1f4cd; EVIDENT Room<\/span>\n    <\/div>\n    <div class=\"panel-abstract\"><p>This EVIDENT workshop introduces the FLUOVIEW FV5000MPE platform on the IX85 inverted microscope, focusing on compact and convenient multiphoton integration for deep tissue imaging applications. We will present to you the easy integration of pig tailed fibre lasers on top of a confocal imaging platform to achieve a multiphoton ready combo system. The session highlights how this design reduces system complexity and footprint while maintaining high-performance imaging capabilities. Attendees will understand how fiber-based laser delivery supports more robust alignment, easier maintenance, and improved day-to-day usability, making multiphoton imaging more accessible in shared environments.<\/p><p>A dedicated part of the workshop covers SilVIR non-descanned detectors (NDD), designed for high-sensitivity photon detection in scattering specimens. Optimized detection geometry combined with photon-counting capabilities improves signal collection efficiency at depth while maintaining stable and quantitative imaging conditions.<\/p><p>Together, these elements position the FV5000MPE as a solution that brings multiphoton imaging closer to routine use, balancing deep imaging performance with operational simplicity and system stability within the EVIDENT platform.<\/p><\/div>\n  <\/div>\n<\/div><div class=\"ws-item\">\n  <button class=\"ws-trigger\" aria-expanded=\"false\" aria-controls=\"ws-panel-S2-7\" id=\"ws-btn-S2-7\">\n    <span class=\"company-tag\">Intelligent Imaging Innovations GmbH<\/span>\n    <span class=\"ws-title\">PlantScope: Live Root Tip Tracking for Dynamic Plant Imaging<\/span>\n    <span class=\"chevron\" aria-hidden=\"true\"><svg width=\"14\" height=\"14\" viewBox=\"0 0 16 16\" fill=\"none\"><path d=\"M4 6l4 4 4-4\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/span>\n  <\/button>\n  <div class=\"ws-panel\" id=\"ws-panel-S2-7\" role=\"region\" aria-labelledby=\"ws-btn-S2-7\" hidden>\n    <div class=\"panel-meta\">\n      <span>&#x1f3a4; Daniel von Wangenheim; Nicole Zobiack; Ben Atkinson<\/span>\n      <span>&#x1f4cd; 3i Room<\/span>\n    <\/div>\n    <div class=\"panel-abstract\"><p>PlantScope is a turnkey live-cell imaging platform designed for long-term observation of growing plant roots with automated tracking. The system enables researchers to follow root tip dynamics over hours to days while maintaining plants in a physiologically relevant upright growth orientation using a unique vertical stage design.<\/p><p>A key capability of PlantScope is automated live root tip tracking. As roots grow and change direction, the system continuously follows the advancing tip and acquires high-resolution image montages that capture the entire developmental cycle, including the meristematic, elongation, and differentiation zones at every time point. This enables comprehensive visualization of root growth dynamics, cell division patterns, tropic responses, and developmental trajectories across extended time-lapse experiments.<\/p><p>At the core of PlantScope, SlideBook and the Yokogawa CSU-W1 spinning disk confocal enable robust capture of dynamic biological processes in realtime. The CSU-W1 delivers rapid acquisition speeds, high sensitivity and multi-color sub-cellular imaging optimized for live samples. SlideBook software seamlessly coordinates all hardware &#8211; including microscope, camera, stage, spinning disk, laser launch, NIR lamp &#8211; in combination with automated tracking and adaptive imaging workflows in a familiar, easy-to-use interface.<\/p><p>In this workshop, we will demonstrate the PlantScope Marianas multimodal microscopy system with root tip tracking capabilities, showcasing automated long-term imaging workflows and high-resolution visualization of dynamic root development.<\/p><\/div>\n  <\/div>\n<\/div><div class=\"ws-item\">\n  <button class=\"ws-trigger\" aria-expanded=\"false\" aria-controls=\"ws-panel-S2-8\" id=\"ws-btn-S2-8\">\n    <span class=\"company-tag\">Leica<\/span>\n    <span class=\"ws-title\">Viventis SCAPE: New light sheet microscopy platform for high speed 3D imaging using standard sample carriers<\/span>\n    <span class=\"chevron\" aria-hidden=\"true\"><svg width=\"14\" height=\"14\" viewBox=\"0 0 16 16\" fill=\"none\"><path d=\"M4 6l4 4 4-4\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/span>\n  <\/button>\n  <div class=\"ws-panel\" id=\"ws-panel-S2-8\" role=\"region\" aria-labelledby=\"ws-btn-S2-8\" hidden>\n    <div class=\"panel-meta\">\n      <span>&#x1f3a4; Judith Reddington<\/span>\n      <span>&#x1f4cd; LEICA Room<\/span>\n    <\/div>\n    <div class=\"panel-abstract\"><p>S. Untucht, P. Rodriguez, M. Beljan, K. Ritschel, A. Wede, A. Schmitz, B. Deissler, Z. Jiang, V. Augustin, J. Pearson, S. Schicktanz, F. Fahrbach, J. Reddington<\/p><p>Leica Microsystems CMS GmbH, Mannheim, Germany.<\/p><p>Here we present the new Leica Viventis SCAPE, based on oblique plane microscopy (OPM)\u00b9 and swept confocally aligned planar excitation (SCAPE)\u00b2,\u00b3 technologies.<\/p><p>This system is designed for high-speed, high-throughput volumetric light sheet imaging and is compatible with commonly used carriers, including glass slides, Petri dishes, and well plates. Viventis SCAPE enables fast 3D imaging without the need for specialized holders or deviations from common sample mounting protocols.<\/p><p>We demonstrate the intuitively designed Viventis SCAPE workflow, from straightforward sample mounting in standard carriers and streamlined software integration to fast volumetric acquisition. Practical examples will illustrate how Viventis SCAPE enables high-speed 3D imaging of a wide range of specimens, including 2D cell culture, 3D tissues, organoids, and small organisms, providing new opportunities for observing biological dynamics in real time.<\/p><p>Join this session to discover how Viventis SCAPE delivers fast, gentle, and accessible light sheet imaging\u2014bringing high-speed 3D microscopy into standard laboratory workflows.<\/p><p>1. Dunsby, C. et al. Optically sectioned imaging by oblique plane microscopy. Opt. Express 16, 20306\u201320316 (2008).<\/p><p>2. Bouchard, M. B. et al. Swept confocally-aligned planar excitation (SCAPE) microscopy for high-speed volumetric imaging of behaving organisms. Nat. Photonics 9, 113\u2013119 (2015).<\/p><p>3. Voleti, V. et al. Real-time volumetric microscopy of in vivo dynamics and large-scale samples with SCAPE 2.0. Nat. Methods 16, 1054\u20131062 (2019).<\/p><\/div>\n  <\/div>\n<\/div><div class=\"ws-item\">\n  <button class=\"ws-trigger\" aria-expanded=\"false\" aria-controls=\"ws-panel-S2-9\" id=\"ws-btn-S2-9\">\n    <span class=\"company-tag\">Miltenyi Biotec B.V. &amp; Co. KG<\/span>\n    <span class=\"ws-title\">Light Sheet Microscopy at LightSpeed: Transforming 3D Imaging with UltraMicroscope Blaze&#x2122;<\/span>\n    <span class=\"chevron\" aria-hidden=\"true\"><svg width=\"14\" height=\"14\" viewBox=\"0 0 16 16\" fill=\"none\"><path d=\"M4 6l4 4 4-4\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/span>\n  <\/button>\n  <div class=\"ws-panel\" id=\"ws-panel-S2-9\" role=\"region\" aria-labelledby=\"ws-btn-S2-9\" hidden>\n    <div class=\"panel-meta\">\n      <span>&#x1f3a4; Guruchandar Arulmozhivarman;Afshin Khalili ; Luis Muniz<\/span>\n      <span>&#x1f4cd; MILTENYI Room<\/span>\n    <\/div>\n    <div class=\"panel-abstract\"><p>Visualizing the three-dimensional architecture of complex biological specimens has traditionally required labor-intensive workflows and imaging times ranging from hours to days. To overcome these limitations, Miltenyi Biotec offers an integrated 3D imaging ecosystem that streamlines sample processing, acquisition, visualization, and analysis. In this workshop, we will present live demonstrations of the UltraMicroscope Blaze&#x2122; and its latest innovations for high-speed, scalable light sheet imaging. Attendees will experience the new LightSpeed mode, enabling up to 60-fold faster image acquisition for large-volume specimens, alongside the MACS iQ View \u2013 3D Large Volume package for efficient visualization and handling of large multidimensional datasets with OCTAGON PRIME. We will further highlight an integrated 3D\/2D workflow combining volumetric imaging with high-plex spatial analysis, providing a comprehensive solution for accelerated, data-rich biological discovery.<\/p><\/div>\n  <\/div>\n<\/div><div class=\"ws-item\">\n  <button class=\"ws-trigger\" aria-expanded=\"false\" aria-controls=\"ws-panel-S2-10\" id=\"ws-btn-S2-10\">\n    <span class=\"company-tag\">Nikon Europe BV<\/span>\n    <span class=\"ws-title\">Visual Programming Meets Python: Building Powerful 3D AI Analysis Workflows in NIS Elements for beginners and experts<\/span>\n    <span class=\"chevron\" aria-hidden=\"true\"><svg width=\"14\" height=\"14\" viewBox=\"0 0 16 16\" fill=\"none\"><path d=\"M4 6l4 4 4-4\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/span>\n  <\/button>\n  <div class=\"ws-panel\" id=\"ws-panel-S2-10\" role=\"region\" aria-labelledby=\"ws-btn-S2-10\" hidden>\n    <div class=\"panel-meta\">\n      <span>&#x1f3a4; Nelda Antonovaite<\/span>\n      <span>&#x1f4cd; NIKON Room<\/span>\n    <\/div>\n    <div class=\"panel-abstract\"><p>3D microscopy has advanced rapidly with spheroid and organoid models, which closely replicate native tissue. While acquiring quality 3D images is challenging, developing robust and reproducible analysis workflows can be even more difficult, often requiring Python expertise and limiting accessibility. NIS Elements addresses this with an intuitive, visual programming interface, allowing users to drag and drop functions for 2D\/3D processing, measurement, plotting, and data management\u2014eliminating the need for scripting while maintaining flexibility.<\/p><p>For specialized analyses, users can incorporate open\u2011source algorithms via integrated Python scripting and LLM prompts, enabling easy access to tools like Cellpose3, Cellpose SAM, Stardist, and others. If these pretrained models lack desired performance, NIS Elements supports custom 3D deep learning training for segmentation, signal enhancement, and channel prediction, using user data for higher accuracy and speed. To handle computational demands from large datasets, Cluster Computing software distributes tasks across idle lab computers.<\/p><p>In this workshop, we will show how to:<\/p><p>\u2022 Use visual programming for 3D image analysis workflows<\/p><p>\u2022 Make use of pretrained open-source segmentation models inside NIS-Elements<\/p><p>\u2022 Create 3D binaries with the help of detect.ai and train custom 3D segmentation model<\/p><p>\u2022 Use LLM to make a Python script to be used inside NIS-Elements<\/p><p>\u2022 Run Batch Analysis using Cluster Computing on Octagon PRIME \u2013 high performance processing unit from Octagon Data GmbH<\/p><p>Finally, you can use your 3D analysis pipeline as part of acquisition to enable feedback driven microscopy workflows, removing the need for users to remain physically present at the microscope.<\/p><\/div>\n  <\/div>\n<\/div><div class=\"ws-item\">\n  <button class=\"ws-trigger\" aria-expanded=\"false\" aria-controls=\"ws-panel-S2-11\" id=\"ws-btn-S2-11\">\n    <span class=\"company-tag\">Oxford Instruments<\/span>\n    <span class=\"ws-title\">Automation, Reproducibility and Precision with Image Analysis Workflows in Imaris<\/span>\n    <span class=\"chevron\" aria-hidden=\"true\"><svg width=\"14\" height=\"14\" viewBox=\"0 0 16 16\" fill=\"none\"><path d=\"M4 6l4 4 4-4\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/span>\n  <\/button>\n  <div class=\"ws-panel\" id=\"ws-panel-S2-11\" role=\"region\" aria-labelledby=\"ws-btn-S2-11\" hidden>\n    <div class=\"panel-meta\">\n      <span>&#x1f3a4; Michael Mahlert<\/span>\n      <span>&#x1f4cd; OXFORD INSTRUMENTS Room<\/span>\n    <\/div>\n    <div class=\"panel-abstract\"><p>Modern microscopy produces increasingly large and complex image datasets, yet image analysis often remains repetitive, time-consuming, and difficult to reproduce. Researchers frequently apply identical analysis steps across multiple images while manually documenting parameters and processing decisions, creating challenges for efficiency, reproducibility, and collaboration.<\/p><p>This workshop introduces the Image Analysis Workflows available in Imaris 11 and demonstrates how they can automate repetitive tasks, standardize analysis pipelines, and capture the full analytical process in a transparent, shareable format. Participants will learn how workflows record preprocessing, object creation, filtering, masking, quantification, visualization, and other analysis steps while generating reusable workflow files that can be exported and shared with collaborators.<\/p><p>The session will also highlight the new workflow resources introduced in Imaris 11.1, including application-specific workflows developed by the Imaris team to simplify common analysis tasks and accelerate user training. Attendees will explore practical examples designed to reduce the learning curve and improve analytical consistency.<\/p><p>In addition, the workshop will cover AI-driven segmentation and object classification tools integrated into Imaris workflows. Participants will learn how machine learning\u2013based segmentation can be combined with preprocessing methods such as deconvolution, as well as advanced analysis modules including cell detection, object tracking, and filament or blood vessel tracing.<\/p><p>Finally, attendees will discover how validated workflows can be applied to many similar datasets using batch processing, enabling efficient, reproducible analysis while still allowing expert-driven manual input when required.<\/p><\/div>\n  <\/div>\n<\/div><div class=\"ws-item\">\n  <button class=\"ws-trigger\" aria-expanded=\"false\" aria-controls=\"ws-panel-S2-12\" id=\"ws-btn-S2-12\">\n    <span class=\"company-tag\">Oxford Nanoimaging Ltd<\/span>\n    <span class=\"ws-title\">Explore the Nanoscale with DNA-PAINT (Hosted by ONI and Massive Photonics)<\/span>\n    <span class=\"chevron\" aria-hidden=\"true\"><svg width=\"14\" height=\"14\" viewBox=\"0 0 16 16\" fill=\"none\"><path d=\"M4 6l4 4 4-4\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/span>\n  <\/button>\n  <div class=\"ws-panel\" id=\"ws-panel-S2-12\" role=\"region\" aria-labelledby=\"ws-btn-S2-12\" hidden>\n    <div class=\"panel-meta\">\n      <span>&#x1f3a4; Claudia Zagami; Kimberly Cramer; Florian Selbach<\/span>\n      <span>&#x1f4cd; ONI Room<\/span>\n    <\/div>\n    <div class=\"panel-abstract\"><p>A hands-on introduction to DNA-PAINT imaging, from experimental design to structures redefined.<\/p><p>DNA-PAINT is a Single-Molecule Localization Microscopy (SMLM) technique that enables the precise visualization of structures with high-resolution through transient DNA binding events.<\/p><p>This workshop will cover the full ONI DNA-PAINT workflow: from experimental design and sample preparation to image acquisition and quantitative analysis using CODI. The focus is on building a practical understanding of how to design robust experiments, acquire high-quality datasets, and extract quantitative information from nanoscale biological structures.<\/p><p>This hands-on session is ideal for researchers looking to get started with DNA-PAINT and develop confidence in end-to-end super-resolution imaging workflows.<\/p><\/div>\n  <\/div>\n<\/div><div class=\"ws-item\">\n  <button class=\"ws-trigger\" aria-expanded=\"false\" aria-controls=\"ws-panel-S2-13\" id=\"ws-btn-S2-13\">\n    <span class=\"company-tag\">Phaseview<\/span>\n    <span class=\"ws-title\">From Sample to Image \u2014 A Practical Approach to Light-Sheet Microscopy<\/span>\n    <span class=\"chevron\" aria-hidden=\"true\"><svg width=\"14\" height=\"14\" viewBox=\"0 0 16 16\" fill=\"none\"><path d=\"M4 6l4 4 4-4\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/span>\n  <\/button>\n  <div class=\"ws-panel\" id=\"ws-panel-S2-13\" role=\"region\" aria-labelledby=\"ws-btn-S2-13\" hidden>\n    <div class=\"panel-meta\">\n      <span>&#x1f3a4; Igor Lyuboshenko<\/span>\n      <span>&#x1f4cd; PHASEVIEW \/ THORLABS ROOM<\/span>\n    <\/div>\n    <div class=\"panel-abstract\"><p>Light-sheet microscopy is often approached from a system perspective, while in practice imaging results are primarily determined by the sample itself.<\/p><p>This workshop presents a sample-first approach, focusing on how sample geometry, mounting, and imaging conditions influence the final image quality. Through simple and practical demonstrations, we illustrate how light-sheet imaging can be performed using a minimal and robust setup, integrated with an existing microscope.<\/p><p>Participants will see how different sample configurations, including mounting in air or in medium, affect image quality and reproducibility. The workshop highlights how straightforward workflows can be used to validate samples, optimize preparation, and obtain reliable imaging results without introducing unnecessary system complexity.<\/p><p>This approach is particularly relevant for laboratories exploring light-sheet microscopy for the first time, as well as for facilities evaluating whether this technique is suitable for their applications. Emphasis is placed on accessibility, reproducibility, and practical decision-making in real experimental conditions.<\/p><p>The session concludes with an open discussion, where participants are encouraged to present their own samples and challenges for further exchange.<\/p><\/div>\n  <\/div>\n<\/div><div class=\"ws-item\">\n  <button class=\"ws-trigger\" aria-expanded=\"false\" aria-controls=\"ws-panel-S2-14\" id=\"ws-btn-S2-14\">\n    <span class=\"company-tag\">PicoQuant<\/span>\n    <span class=\"ws-title\">Push the limits of confocal FLIM for more contrast and more resolution with ISM-FLIM<\/span>\n    <span class=\"chevron\" aria-hidden=\"true\"><svg width=\"14\" height=\"14\" viewBox=\"0 0 16 16\" fill=\"none\"><path d=\"M4 6l4 4 4-4\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/span>\n  <\/button>\n  <div class=\"ws-panel\" id=\"ws-panel-S2-14\" role=\"region\" aria-labelledby=\"ws-btn-S2-14\" hidden>\n    <div class=\"panel-meta\">\n      <span>&#x1f3a4; Isabel Gross;Fabian Jolmes;Fabio Barachati;Johan Hummert<\/span>\n      <span>&#x1f4cd; PICOQUANT Room<\/span>\n    <\/div>\n    <div class=\"panel-abstract\"><p>Recently, high-performance SPAD-arrays featuring few tens of pixels have become available. Combining these with suitable multi-channel TCSPC-devices enables time-resolved Image Scanning Microscopy (ISM). ISM enhances the spatial resolution and increases image contrast compared to standard confocal imaging. FLIM can provide additional functional information as well as extended marker multiplexing using lifetime contrast. So both technologies complement each other.<\/p><p>In this workshop we will show how the PDA23 SPAD Array is implemented in Luminosa. The newly released software NovaISM enables the analysis of ISM-FLIM images acquired with the PDA-23 Add-On of the Luminosa microscope. Image scanning microscopy (ISM) with a SPAD array detector achieves resolution enhancements of about 1.5 to 1.7 times in comparison to standard confocal images, in combination with deconvolution. Even for 2d-recordings\/data the contrast of the ISM-FLIM images is enhanced significantly by rejecting the out-of focus light. Such rejection enhances not only the signal-to-noise-ratio, but also the lifetime contrast of the FLIM images. These benefits enable either faster image acquisition or gentler imaging of live samples.<\/p><\/div>\n  <\/div>\n<\/div><div class=\"ws-item\">\n  <button class=\"ws-trigger\" aria-expanded=\"false\" aria-controls=\"ws-panel-S2-15\" id=\"ws-btn-S2-15\">\n    <span class=\"company-tag\">Tomocube<\/span>\n    <span class=\"ws-title\">Holotomography for Every Lab: Label-Free 3D Live Imaging with the HT-X1 mini<\/span>\n    <span class=\"chevron\" aria-hidden=\"true\"><svg width=\"14\" height=\"14\" viewBox=\"0 0 16 16\" fill=\"none\"><path d=\"M4 6l4 4 4-4\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/span>\n  <\/button>\n  <div class=\"ws-panel\" id=\"ws-panel-S2-15\" role=\"region\" aria-labelledby=\"ws-btn-S2-15\" hidden>\n    <div class=\"panel-meta\">\n      <span>&#x1f3a4; Bruno Combettes; Reza Pari-Nejad; Daniel Ghete<\/span>\n      <span>&#x1f4cd; TOMOCUBE Room<\/span>\n    <\/div>\n    <div class=\"panel-abstract\"><p>Holotomography (HT) is a powerful tool for label-free, quantitative 3D imaging of living cells. By reconstructing the three-dimensional refractive index (RI) distribution of biological specimens, HT reveals subcellular structures\u2014including nuclei, mitochondria, and lipid droplets\u2014without the need for exogenous labels or staining, preserving the native physiological state of cells throughout the experiment.<\/p><p>In this workshop, we introduce the HT-X1 mini, the latest addition to Tomocube\u2019s HT-X1 series. The HT-X1 mini brings full HT performance to an affordable, everyday-ready platform designed to lower the barrier to high-quality label-free imaging. As a table-top system, it fits seamlessly into culture rooms and space-limited environments, and operates via a laptop-based workflow with minimal setup requirements.<\/p><p>Despite its compact form factor, the HT-X1 mini delivers comparable performance to other HT-X1 series systems, supporting high-resolution 3D structural visualization and quantitative RI-based analysis through TomoAnalysis&#x2122; workflows. The system is expandable with optional modules\u2014including a stage-top incubator for long-term live-cell imaging, a fluorescence light engine for target-specific signals, additional HT wavelengths, and a laser-based autofocus sensor\u2014making it adaptable as research needs evolve.<\/p><p>This workshop will present representative applications enabled by the HT-X1 mini, including cell morphology observation, quantitative phenotyping, and routine live-cell culture monitoring. We will demonstrate how RI-based imaging provides immediate biological insight\u2014from single-cell morphodynamics to subcellular organelle tracking\u2014enabling rich structural insight from label-free RI data. Overall, we aim to show that HT is no longer a specialized capability reserved for a few labs, but an accessible, everyday imaging modality available to any cell biology researcher.<\/p><\/div>\n  <\/div>\n<\/div><div class=\"ws-item tellmi-item\">\n  <button class=\"ws-trigger\" aria-expanded=\"false\" aria-controls=\"ws-panel-S2-16\" id=\"ws-btn-S2-16\">\n    <span class=\"company-tag tellmi-tag\">TELLMI Workshop *<\/span>\n    <span class=\"ws-title\">Measuring and monitoring the PSF of a microscope.<\/span>\n    <span class=\"chevron\" aria-hidden=\"true\"><svg width=\"14\" height=\"14\" viewBox=\"0 0 16 16\" fill=\"none\"><path d=\"M4 6l4 4 4-4\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/span>\n  <\/button>\n  <div class=\"ws-panel\" id=\"ws-panel-S2-16\" role=\"region\" aria-labelledby=\"ws-btn-S2-16\" hidden>\n    <div class=\"panel-meta\">\n      <span>&#x1f3a4; Glyn Nelson<\/span>\n      <span>&#x1f4cd; TELLMI A<\/span>\n    <\/div>\n    <div class=\"panel-abstract\"><p>The Point Spread Function (PSF), which describes the response of an optical system to a point source, is a key quality control of a microscope. Regular measurements, conducted with consistent tools, methods, and protocols, along with the calculation of robust metrics enable the monitoring of the microscope performance and therefore ensure better reproducibility of scientific experiments. During this workshop, we will show briefly how to prepare a bead slide, how to perform an acquisition, and finally how to analyze the PSF with open-source tools (1, 2). We will give some tips to troubleshooting PSFs that have an abnormal shape or are far from the theoretical expected size. We will also demonstrate the upload of the analysis results to OMERO, a database that will help monitor PSFs over time. We will use the protocols and metrics that are defined in the framework of the QUAREP-LiMi consortium&#8217;s WG5 (3).<\/p><p>1. Faklaris O., et al. \u201cQuality Assessment in Light Microscopy for Routine Use through Simple Tools and Robust Metrics.\u201d Journal of Cell Biology 221, no. 11 (2022): e202107093. https:\/\/doi.org\/10.1083\/jcb.202107093.<\/p><p>2. https:\/\/github.com\/MontpellierRessourcesImagerie\/MetroloJ_QC<\/p><p>3. Nelson G., et al. Protocolos.io, Monitoring the point spread function for quality control of confocal microscopes , dx.doi.org\/10.17504\/protocols.io.bp2l61ww1vqe\/v1<\/p><\/div>\n  <\/div>\n<\/div><div class=\"ws-item tellmi-item\">\n  <button class=\"ws-trigger\" aria-expanded=\"false\" aria-controls=\"ws-panel-S2-17\" id=\"ws-btn-S2-17\">\n    <span class=\"company-tag tellmi-tag\">TELLMI Workshop *<\/span>\n    <span class=\"ws-title\">The QUAREP-LiMi Tool Kit &#8211; Automated quality assessment of light sources and detectors (QUAREP-LiMi WGs 1 &amp; 2)<\/span>\n    <span class=\"chevron\" aria-hidden=\"true\"><svg width=\"14\" height=\"14\" viewBox=\"0 0 16 16\" fill=\"none\"><path d=\"M4 6l4 4 4-4\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/span>\n  <\/button>\n  <div class=\"ws-panel\" id=\"ws-panel-S2-17\" role=\"region\" aria-labelledby=\"ws-btn-S2-17\" hidden>\n    <div class=\"panel-meta\">\n      <span>&#x1f3a4; Britta Schroth-Diez\nValeria Berno,\nKees van der Oord<\/span>\n      <span>&#x1f4cd; TELLMI B<\/span>\n    <\/div>\n    <div class=\"panel-abstract\"><p>Presenters : Kees van der Oord a, Valeria Berno b, Britta Schroth-Diez c<\/p><p>a Nikon Europe B.V.<\/p><p>b ALEMBIC Advanced Light and Electron Microscopy BioImaging Center, Universit\u00e0 Vita-Salute San Raffaele, Milano Italy<\/p><p>c Light Microscopy Facility, Max Planck Institute of Molecular Cell Biology and Genetics, Dresden Germany<\/p><p>The QUAREP-LiMi Tool Kit [1] was developed by the QUAREP-LiMi community to reduce the time needed to run periodic quality assessment protocols and organize the performance data acquired. During this workshop we will present its basic features and latest developments.<\/p><p>In accordance to the protocol defined by the QUAREP-LiMi WG 1 [2] the Tool Kit integrates user friendly interfaces for the assessment of illumination power and stability. These interfaces are already available for the Nikon and Zeiss acquistion software.<\/p><p>In addition, the Tool Kit includes support for the protocols for detector gain, dynamic range and noise assessment developed by the QUAREP-LiMi WG2 [2].<\/p><p>A highlight of the Tool Kit is its data browser. Thanks to the organized presentation of the performance metrics it is easier to diagnose problems \u2013 e.g. a small but steady power decrease over months\u2013 and take corrective and preventive actions before they become detrimental.<\/p><p>The Tool Kit functionality will be demonstrated during the workshop, where we will emphasize important details of the protocols.<\/p><p>[1] https:\/\/github.com\/QUAREP-LiMi\/QUAREP-LiMi-Tool-Kit<\/p><p>[2] https:\/\/www.protocols.io\/workspaces\/quarep-limi\/publications<\/p><\/div>\n  <\/div>\n<\/div><div class=\"ws-item tellmi-item\">\n  <button class=\"ws-trigger\" aria-expanded=\"false\" aria-controls=\"ws-panel-S2-18\" id=\"ws-btn-S2-18\">\n    <span class=\"company-tag tellmi-tag\">TELLMI Workshop *<\/span>\n    <span class=\"ws-title\">Getting Started with the Cloud-Native Data Format OME-Zarr: Conversion, Visualisation, Validation and Metadata Editing<\/span>\n    <span class=\"chevron\" aria-hidden=\"true\"><svg width=\"14\" height=\"14\" viewBox=\"0 0 16 16\" fill=\"none\"><path d=\"M4 6l4 4 4-4\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/span>\n  <\/button>\n  <div class=\"ws-panel\" id=\"ws-panel-S2-18\" role=\"region\" aria-labelledby=\"ws-btn-S2-18\" hidden>\n    <div class=\"panel-meta\">\n      <span>&#x1f3a4; Bugra Oezdemir<\/span>\n      <span>&#x1f4cd; Auditorium<\/span>\n    <\/div>\n    <div class=\"panel-abstract\"><p>This workshop introduces OME\u2011Zarr, a cloud\u2011native, next\u2011generation file format that enables efficient access to large bioimaging datasets. The session will demonstrate how essential tasks such as batch conversion, simple visualization, validation, and metadata curation can be performed using EuBI\u2011Bridge, a framework designed to streamline these steps within a single workflow. Participants will also be introduced to several widely used tools from the broader OME\u2011Zarr ecosystem for visualization, validation, and more advanced data exploration.<\/p><\/div>\n  <\/div>\n<\/div>\n    <\/div>\n  <\/div>\n<\/div><div class=\"session-block\" id=\"S3\">\n  <button class=\"session-trigger\" aria-expanded=\"false\" aria-controls=\"session-panel-S3\" id=\"session-btn-S3\">\n    <span class=\"session-info\">\n      <span class=\"session-title\">Day 1 Session 3<\/span>\n      <span class=\"session-sub\">&#x1f4c5; June 17 &nbsp;\u00b7&nbsp; &#x23f0; 14:45\u201315:45<\/span>\n    <\/span>\n    <span class=\"session-count\">16 workshops<\/span>\n    <span class=\"session-chevron\" aria-hidden=\"true\"><svg width=\"20\" height=\"20\" viewBox=\"0 0 16 16\" fill=\"none\"><path d=\"M4 6l4 4 4-4\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/span>\n  <\/button>\n  <div class=\"session-panel\" id=\"session-panel-S3\" role=\"region\" aria-labelledby=\"session-btn-S3\" hidden>\n    <div class=\"ws-accordion\">\n      <div class=\"ws-item\">\n  <button class=\"ws-trigger\" aria-expanded=\"false\" aria-controls=\"ws-panel-S3-0\" id=\"ws-btn-S3-0\">\n    <span class=\"company-tag\">Abbelight<\/span>\n    <span class=\"ws-title\">High-Throughput DNA-PAINT Imaging with Abbelight SAFe System Featuring ASTER Illumination<\/span>\n    <span class=\"chevron\" aria-hidden=\"true\"><svg width=\"14\" height=\"14\" viewBox=\"0 0 16 16\" fill=\"none\"><path d=\"M4 6l4 4 4-4\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/span>\n  <\/button>\n  <div class=\"ws-panel\" id=\"ws-panel-S3-0\" role=\"region\" aria-labelledby=\"ws-btn-S3-0\" hidden>\n    <div class=\"panel-meta\">\n      <span>&#x1f3a4; Tom Borianne<\/span>\n      <span>&#x1f4cd; ABBELIGHT Room<\/span>\n    <\/div>\n    <div class=\"panel-abstract\"><p>Super-resolution microscopy has transformed the way we explore biological systems. One popular technique, DNA-PAINT, exploits the intermittent binding of fluorescent DNA to their targets to illuminate only a subset of molecules at a time and allows Single-Molecule Localization Microscopy (SMLM). Each blinking event is fitted to localize the position of the emitter with a 10 \u2013 20 nm spatial resolution, enabling the visualization of cellular structures and molecular organization at the nanoscale. In the past, DNA-PAINT generally suffered from small fields of view (FOV) and lengthy acquisitions, limiting the overall throughput of data collection.<\/p><p>In this workshop, we demonstrate Abbelight high-throughput DNA-PAINT imaging, enabled by the SAFe platform workflow, which features ASTER illumination, a proprietary flat field excitation technology. Our system enables an ultra-wide 230 x 230 \u00b5m fields-of-view and the illumination power is 95% homogeneous across the whole FOV ensuring consistent fluorophore excitation from center to edge and reliable quantifications. In Abbelight NEO LiveImagingTM software, users have access to real-time processing of the data, allowing them to decide early on if a FOV is worth the full acquisition and saving precious time on the instrument. By programming automated acquisitions, the Multi-Dimensional Acquisition (MDA) enables stitching of millimeter-sized regions, plate screening and target multiplexing using the Smartflow microfluidic system to conduct exchange-PAINT. In Abbelight NEO AnalysisTM software, the large datasets can be batched-processed overnight and favor time optimization. The result: higher statistical power and data-rich acquisitions that open the door to population level insights and rare event detection.<\/p><\/div>\n  <\/div>\n<\/div><div class=\"ws-item tba-item\">\n  <button class=\"ws-trigger\" aria-expanded=\"false\" aria-controls=\"ws-panel-S3-1\" id=\"ws-btn-S3-1\">\n    <span class=\"company-tag\">Abberior Instruments<\/span>\n    <span class=\"ws-title\">Abberior Workshop \u2014 title TBA<span class=\"tba-badge\">Details TBA<\/span><\/span>\n    <span class=\"chevron\" aria-hidden=\"true\"><svg width=\"14\" height=\"14\" viewBox=\"0 0 16 16\" fill=\"none\"><path d=\"M4 6l4 4 4-4\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/span>\n  <\/button>\n  <div class=\"ws-panel\" id=\"ws-panel-S3-1\" role=\"region\" aria-labelledby=\"ws-btn-S3-1\" hidden>\n    <div class=\"panel-meta\">\n      <span>&#x1f3a4; TBA<\/span>\n      <span>&#x1f4cd; ABBERIOR Room<\/span>\n    <\/div>\n    <div class=\"panel-abstract\"><p>Details to be announced.<\/p><\/div>\n  <\/div>\n<\/div><div class=\"ws-item\">\n  <button class=\"ws-trigger\" aria-expanded=\"false\" aria-controls=\"ws-panel-S3-2\" id=\"ws-btn-S3-2\">\n    <span class=\"company-tag\">Bruker<\/span>\n    <span class=\"ws-title\">Integrated Workflow from 3D Sample Imaging by Light-Sheet Microscopy to Large Data Processing<\/span>\n    <span class=\"chevron\" aria-hidden=\"true\"><svg width=\"14\" height=\"14\" viewBox=\"0 0 16 16\" fill=\"none\"><path d=\"M4 6l4 4 4-4\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/span>\n  <\/button>\n  <div class=\"ws-panel\" id=\"ws-panel-S3-2\" role=\"region\" aria-labelledby=\"ws-btn-S3-2\" hidden>\n    <div class=\"panel-meta\">\n      <span>&#x1f3a4; Bj\u00f6rn Eismann; Balint Balazs<\/span>\n      <span>&#x1f4cd; BRUKER Room<\/span>\n    <\/div>\n    <div class=\"panel-abstract\"><p>Modern, high throughput 3D microscopy not only requires solutions for rapid image acquisition, but also for scalable, on-the-fly image data transfer, image processing and content analysis. This workshop presents an integrated imaging and computing workflow combining the Bruker Luxendo light-sheet microscope with the Acquifer HIVE data management, a multi-user, high performance computing platform.<\/p><p>Multi-camera, multi-view light sheet microscopes enable fast volumetric imaging of complex 3D biological samples such as spheroids, organoids, and developing organisms, delivering high optical efficiency and gentle illumination across multiple imaging dimensions. To match this acquisition speed, imaging data is directly streamed to Acquifer HIVE, where it is centrally stored, processed, and made immediately available for analysis and word-wide collaboration, all in an integrated workflow made available by smart Hardware and Software implementation. The workshop demonstrates how end to end optimization\u2014from image acquisition to compute accelerated processing\u2014removes data bottlenecks and enables efficient, reproducible 3D microscopy workflows for microscopists, imaging facilities and translational research.<\/p><\/div>\n  <\/div>\n<\/div><div class=\"ws-item\">\n  <button class=\"ws-trigger\" aria-expanded=\"false\" aria-controls=\"ws-panel-S3-3\" id=\"ws-btn-S3-3\">\n    <span class=\"company-tag\">Carl Zeiss MIcroscopy GmbH<\/span>\n    <span class=\"ws-title\">SMART Microscopy for Biologists by ZEISS Research Microscopy Solutions<\/span>\n    <span class=\"chevron\" aria-hidden=\"true\"><svg width=\"14\" height=\"14\" viewBox=\"0 0 16 16\" fill=\"none\"><path d=\"M4 6l4 4 4-4\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/span>\n  <\/button>\n  <div class=\"ws-panel\" id=\"ws-panel-S3-3\" role=\"region\" aria-labelledby=\"ws-btn-S3-3\" hidden>\n    <div class=\"panel-meta\">\n      <span>&#x1f3a4; Soren Prag<\/span>\n      <span>&#x1f4cd; ZEISS Room<\/span>\n    <\/div>\n    <div class=\"panel-abstract\"><p>ZEN software from ZEISS provides multiple tools to approach Smart Microscopy. These tools will be demonstrated in two separate workshops. The first workshop is designed for users without scripting experience and will focus on GUI-based procedures for typical event- or phenotype-driven high-resolution imaging using the Guided Acquisition. The second workshop targets advanced coders and will highlight custom Smart Imaging techniques utilizing the ZEN-API.<\/p><p>Advanced imaging techniques have become crucial tools in biomedical research, enabling scientists to explore and document intricate biological structures and their dynamics across scales, from single biomolecules to entire animals.<\/p><p>Image acquisition workflows include positioning of the sample inside the microscope, finding the imaging target and setting the acquisition parameters. Traditionally, these routine steps are often performed manually. While manual operation gives experimenters control over the acquisition process, this limits applicability and scalability.<\/p><p>Smart Imaging approaches circumvent these limitations, by combining imaging with on-the-fly processing of acquired data to trigger changes in the imaging settings. Using live data to steer the acquisition or sample perturbation broadens the capabilities of microscopes to new types of experiments. For example, high-resolution imaging of a specific (rare) phenotypes becomes accessible when identifying the object of interest in a low-resolution overview beforehand, followed by switching to a high-resolution imaging modality only for the relevant field-of-view determined by image analysis.<\/p><\/div>\n  <\/div>\n<\/div><div class=\"ws-item\">\n  <button class=\"ws-trigger\" aria-expanded=\"false\" aria-controls=\"ws-panel-S3-4\" id=\"ws-btn-S3-4\">\n    <span class=\"company-tag\">CrestOptics<\/span>\n    <span class=\"ws-title\">IXplore IX85 SpinXL: High-Throughput Spinning Disk Confocal Live Imaging with Large Field-of-View FN26.5<\/span>\n    <span class=\"chevron\" aria-hidden=\"true\"><svg width=\"14\" height=\"14\" viewBox=\"0 0 16 16\" fill=\"none\"><path d=\"M4 6l4 4 4-4\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/span>\n  <\/button>\n  <div class=\"ws-panel\" id=\"ws-panel-S3-4\" role=\"region\" aria-labelledby=\"ws-btn-S3-4\" hidden>\n    <div class=\"panel-meta\">\n      <span>&#x1f3a4; Gregory Perry; Wojciech Brutowski<\/span>\n      <span>&#x1f4cd; CRESTOPTICS Room<\/span>\n    <\/div>\n    <div class=\"panel-abstract\"><p>This workshop presents the EVIDENT IXplore IX85 SpinXL system, combining high-speed spinning disk confocal imaging with an expanded field of view enabled by FN26.5 optics. Built on the IX85 platform, and powered by CrestOptics spinning disk technology the system is designed to capture more biologically relevant context per frame, reducing the need for stitching while increasing experimental throughput.<\/p><p>The workshop focuses on how large field-of-view imaging directly impacts workflow efficiency in live-cell and high-content applications. By acquiring larger areas in a single shot, users can monitor more cells simultaneously, improve statistical relevance, and reduce acquisition time. The spinning disk architecture further supports gentle imaging conditions, minimizing phototoxicity and enabling longer time-lapse experiments.<\/p><p>Participants will explore how the system balances speed, sensitivity, and scalability, making it suitable for shared environments such as imaging core facilities. Emphasis is placed on consistent data generation across users, simplified operation, and adaptability to different experimental needs.<\/p><\/div>\n  <\/div>\n<\/div><div class=\"ws-item\">\n  <button class=\"ws-trigger\" aria-expanded=\"false\" aria-controls=\"ws-panel-S3-5\" id=\"ws-btn-S3-5\">\n    <span class=\"company-tag\">CSR Europe GmbH<\/span>\n    <span class=\"ws-title\">Next Generation SIM: Redefining Speed and Resolution for Living Systems<\/span>\n    <span class=\"chevron\" aria-hidden=\"true\"><svg width=\"14\" height=\"14\" viewBox=\"0 0 16 16\" fill=\"none\"><path d=\"M4 6l4 4 4-4\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/span>\n  <\/button>\n  <div class=\"ws-panel\" id=\"ws-panel-S3-5\" role=\"region\" aria-labelledby=\"ws-btn-S3-5\" hidden>\n    <div class=\"panel-meta\">\n      <span>&#x1f3a4; Peter Laskey; Nina Wang<\/span>\n      <span>&#x1f4cd; CSR BIOTECH Room<\/span>\n    <\/div>\n    <div class=\"panel-abstract\"><p>Structured Illumination Microscopy (SIM) has become a key approach for super-resolution imaging. However, classical SIM and conventional systems are often limited by trade-offs in speed, resolution, photobleaching control, and workflow flexibility, particularly in demanding live and volumetric imaging applications.<\/p><p>This workshop presents CSR Biotech\u2019s next-generation MI-SIM platform, addressing these limitations through advanced hardware\u2013software integration. During the session, we will demonstrate high-speed and high-resolution live-cell imaging and explore the power of real-time reconstruction. We will also highlight how Sparse deconvolution allows for the extended imaging of sensitive samples without sacrificing structural detail.<\/p><p>We will further examine the platform\u2019s multiple imaging modes, including TIRF-SIM and 3D-SIM. Finally, we will showcase smart imaging features such as AI-based cell division detection and cell tracking for time-series analysis. These advancements illustrate a highly automated and intelligent SIM imaging workflow.<\/p><\/div>\n  <\/div>\n<\/div><div class=\"ws-item\">\n  <button class=\"ws-trigger\" aria-expanded=\"false\" aria-controls=\"ws-panel-S3-6\" id=\"ws-btn-S3-6\">\n    <span class=\"company-tag\">Evident<\/span>\n    <span class=\"ws-title\">Scale Up Your Multiplexing experiments: Advancing Spatial Biology with the SLIDEVIEW VS200<\/span>\n    <span class=\"chevron\" aria-hidden=\"true\"><svg width=\"14\" height=\"14\" viewBox=\"0 0 16 16\" fill=\"none\"><path d=\"M4 6l4 4 4-4\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/span>\n  <\/button>\n  <div class=\"ws-panel\" id=\"ws-panel-S3-6\" role=\"region\" aria-labelledby=\"ws-btn-S3-6\" hidden>\n    <div class=\"panel-meta\">\n      <span>&#x1f3a4; Wei Juan Wong;Maria Prusicki; Elisa Escola Agusti<\/span>\n      <span>&#x1f4cd; EVIDENT Room<\/span>\n    <\/div>\n    <div class=\"panel-abstract\"><p>Understanding how molecular expression patterns relate to tissue structure and cellular context remains a central challenge in spatial biology. In this context, multiplexed imaging is particularly powerful, as it allows multiple biomarkers to be analysed simultaneously, providing deeper insight into complex biological processes within a single sample.<\/p><p>The latest development of the SLIDEVIEW VS200 slide scanner is specifically designed to support spatial biology workflows by enabling the acquisition of up to 10 fluorescence channels in a single imaging round. By reducing repeated staining cycles and slide handling, this approach minimizes tissue stress, improves data consistency, and helps preserve sample integrity. In addition, the use of dedicated filter sets eliminates the need for spectral unmixing, resulting in more straightforward downstream analysis and significantly reduced processing time.<\/p><p>Beyond advanced fluorescence capabilities, SLIDEVIEW VS200 combines large area, high throughput slide scanning with true multimodal imaging, including brightfield, polarized light, transmitted light, Structured illumination (VS-SILA) and fluorescence acquisition. This multimodality allows users to generate comprehensive datasets that seamlessly integrate morphological and molecular information from the same tissue section.<\/p><\/div>\n  <\/div>\n<\/div><div class=\"ws-item\">\n  <button class=\"ws-trigger\" aria-expanded=\"false\" aria-controls=\"ws-panel-S3-7\" id=\"ws-btn-S3-7\">\n    <span class=\"company-tag\">Intelligent Imaging Innovations GmbH<\/span>\n    <span class=\"ws-title\">PlantScope: Live Root Tip Tracking for Dynamic Plant Imaging<\/span>\n    <span class=\"chevron\" aria-hidden=\"true\"><svg width=\"14\" height=\"14\" viewBox=\"0 0 16 16\" fill=\"none\"><path d=\"M4 6l4 4 4-4\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/span>\n  <\/button>\n  <div class=\"ws-panel\" id=\"ws-panel-S3-7\" role=\"region\" aria-labelledby=\"ws-btn-S3-7\" hidden>\n    <div class=\"panel-meta\">\n      <span>&#x1f3a4; Daniel von Wangenheim; Nicole Zobiack; Ben Atkinson<\/span>\n      <span>&#x1f4cd; 3i Room<\/span>\n    <\/div>\n    <div class=\"panel-abstract\"><p>PlantScope is a turnkey live-cell imaging platform designed for long-term observation of growing plant roots with automated tracking. The system enables researchers to follow root tip dynamics over hours to days while maintaining plants in a physiologically relevant upright growth orientation using a unique vertical stage design.<\/p><p>A key capability of PlantScope is automated live root tip tracking. As roots grow and change direction, the system continuously follows the advancing tip and acquires high-resolution image montages that capture the entire developmental cycle, including the meristematic, elongation, and differentiation zones at every time point. This enables comprehensive visualization of root growth dynamics, cell division patterns, tropic responses, and developmental trajectories across extended time-lapse experiments.<\/p><p>At the core of PlantScope, SlideBook and the Yokogawa CSU-W1 spinning disk confocal enable robust capture of dynamic biological processes in realtime. The CSU-W1 delivers rapid acquisition speeds, high sensitivity and multi-color sub-cellular imaging optimized for live samples. SlideBook software seamlessly coordinates all hardware &#8211; including microscope, camera, stage, spinning disk, laser launch, NIR lamp &#8211; in combination with automated tracking and adaptive imaging workflows in a familiar, easy-to-use interface.<\/p><p>In this workshop, we will demonstrate the PlantScope Marianas multimodal microscopy system with root tip tracking capabilities, showcasing automated long-term imaging workflows and high-resolution visualization of dynamic root development.<\/p><\/div>\n  <\/div>\n<\/div><div class=\"ws-item\">\n  <button class=\"ws-trigger\" aria-expanded=\"false\" aria-controls=\"ws-panel-S3-8\" id=\"ws-btn-S3-8\">\n    <span class=\"company-tag\">Leica<\/span>\n    <span class=\"ws-title\">Smarter STELLARIS: Built-in Intelligence where (every) photon counts<\/span>\n    <span class=\"chevron\" aria-hidden=\"true\"><svg width=\"14\" height=\"14\" viewBox=\"0 0 16 16\" fill=\"none\"><path d=\"M4 6l4 4 4-4\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/span>\n  <\/button>\n  <div class=\"ws-panel\" id=\"ws-panel-S3-8\" role=\"region\" aria-labelledby=\"ws-btn-S3-8\" hidden>\n    <div class=\"panel-meta\">\n      <span>&#x1f3a4; Luis Alvarez<\/span>\n      <span>&#x1f4cd; LEICA Room<\/span>\n    <\/div>\n    <div class=\"panel-abstract\"><p>L.A.J. Alvarez, I. Steinmetz, U. Schwarz, V. Augustin, J. Pearson, H. Birk, F. Hecht, J. Roberti<\/p><p>Leica Microsystems CMS, Am Friedensplatz 3, 68165, Mannheim, Germany.<\/p><p>In this workshop, we present three advances for the Leica Microsystems STELLARIS platform: new detectors, automated correction collar optimization, and real-time AI denoising.<\/p><p>We introduce the new generation of multi-pixel photon counting (MCCP)-based Power HyD detectors, the new Power HyD S and Power HyD N. The Power HyD N is a far-red-shifted detector with enhanced photon detection efficiency in the near-infrared. Together with the updated Power HyD S, both feature improved electronics and cooling to \u221239 \u00b0C, reducing dark counts and enhancing single-photon discrimination. Combined with PowerCounting (1) and White Light Laser excitation up to 790 nm, they enable quantitative multiplexed imaging across visible and NIR spectra while retaining lifetime imaging capabilities.<\/p><p>SmartCORR automatically optimizes motorized correction collar settings to match sample-specific conditions, significantly improving image quality by reducing sample-dependent spherical aberrations caused by variations in coverslip thickness or specimen properties. This eliminates time-consuming manual adjustment and minimizes human bias and error. SmartCorr allows to dynamically make changes for larger samples with inhomogeneous properties in confocal, multiphoton and TauSTED experiments.<\/p><p>To boost image quality on-the-fly AI denoising framework, based on Noise2Noise (2) and trained on detector-specific data, enables real-time denoising during live scanning across all STELLARIS systems, featuring a more linearized response, temporal stabilization, and a hallucination blocker to prevent artefacts in photon-sparse regions with the original raw always preserved.<\/p><p>1. Schweikhard, V. et al. (2020). DOI: 10.1038\/d42473-020-00398-0.<\/p><p>2. Lehtinen, J. et al. (2018).<\/p><\/div>\n  <\/div>\n<\/div><div class=\"ws-item\">\n  <button class=\"ws-trigger\" aria-expanded=\"false\" aria-controls=\"ws-panel-S3-9\" id=\"ws-btn-S3-9\">\n    <span class=\"company-tag\">Miltenyi Biotec B.V. &amp; Co. KG<\/span>\n    <span class=\"ws-title\">Light Sheet Microscopy at LightSpeed: Transforming 3D Imaging with UltraMicroscope Blaze&#x2122;<\/span>\n    <span class=\"chevron\" aria-hidden=\"true\"><svg width=\"14\" height=\"14\" viewBox=\"0 0 16 16\" fill=\"none\"><path d=\"M4 6l4 4 4-4\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/span>\n  <\/button>\n  <div class=\"ws-panel\" id=\"ws-panel-S3-9\" role=\"region\" aria-labelledby=\"ws-btn-S3-9\" hidden>\n    <div class=\"panel-meta\">\n      <span>&#x1f3a4; Guruchandar Arulmozhivarman;Afshin Khalili ; Luis Muniz<\/span>\n      <span>&#x1f4cd; MILTENYI Room<\/span>\n    <\/div>\n    <div class=\"panel-abstract\"><p>Visualizing the three-dimensional architecture of complex biological specimens has traditionally required labor-intensive workflows and imaging times ranging from hours to days. To overcome these limitations, Miltenyi Biotec offers an integrated 3D imaging ecosystem that streamlines sample processing, acquisition, visualization, and analysis. In this workshop, we will present live demonstrations of the UltraMicroscope Blaze&#x2122; and its latest innovations for high-speed, scalable light sheet imaging. Attendees will experience the new LightSpeed mode, enabling up to 60-fold faster image acquisition for large-volume specimens, alongside the MACS iQ View \u2013 3D Large Volume package for efficient visualization and handling of large multidimensional datasets with OCTAGON PRIME. We will further highlight an integrated 3D\/2D workflow combining volumetric imaging with high-plex spatial analysis, providing a comprehensive solution for accelerated, data-rich biological discovery.<\/p><\/div>\n  <\/div>\n<\/div><div class=\"ws-item\">\n  <button class=\"ws-trigger\" aria-expanded=\"false\" aria-controls=\"ws-panel-S3-10\" id=\"ws-btn-S3-10\">\n    <span class=\"company-tag\">Nikon Europe BV<\/span>\n    <span class=\"ws-title\">Bridging High-Content Screening and High-Resolution 3D Imaging with Nikon\u2019s ECLIPSE Ji and AX<\/span>\n    <span class=\"chevron\" aria-hidden=\"true\"><svg width=\"14\" height=\"14\" viewBox=\"0 0 16 16\" fill=\"none\"><path d=\"M4 6l4 4 4-4\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/span>\n  <\/button>\n  <div class=\"ws-panel\" id=\"ws-panel-S3-10\" role=\"region\" aria-labelledby=\"ws-btn-S3-10\" hidden>\n    <div class=\"panel-meta\">\n      <span>&#x1f3a4; Subash Chinnaraj<\/span>\n      <span>&#x1f4cd; NIKON Room<\/span>\n    <\/div>\n    <div class=\"panel-abstract\"><p>High-content screening and high-resolution confocal imaging have traditionally relied on separate, specialized setups. Imaging well plates at high resolution with reliable statistical output often involves complex hardware and software integration. The combination of Nikon\u2019s ECLIPSE Ji and AX confocal microscope overcomes these challenges, enabling automatic acquisition of large sample sets at the highest resolution.<\/p><p>ECLIPSE Ji \u2013 Ease of Use and Robustness: Ji is an AI-powered acquisition and analysis platform that simplifies microscopy workflows and reduces experiment time. It automates setup steps to ensure reproducible, high-quality imaging with minimal intervention\u2014ideal for users of all experience levels. Key capabilities include:<\/p><p>\u2022 Automated well plate detection, sample alignment, brightfield AI autofocus, and AutoSignal.ai for optimized exposure settings.<\/p><p>\u2022 Smart Experiments with pre-defined assay protocols for fully automated high-content screening.<\/p><p>\u2022 Custom Experiments for designing personalized imaging and analysis workflows with the same automation and reproducibility.<\/p><p>Nikon AX, NSPARC \u2013 Superior 3D Imaging: AX system with NSPARC detector delivers exceptional optical performance for diverse magnifications and sample types. Key features include:<\/p><p>\u2022 25 mm field of view with Galvo (8K) and Resonant (2K) scanning for detailed tissue imaging and fast, gentle live-cell acquisition.<\/p><p>\u2022 Excellent optical sectioning for deep imaging of complex 3D samples such as organoids.<\/p><p>\u2022 High resolving power with simultaneous multicolor imaging of fine 3D structures.<\/p><p>During the workshop, participants will experience an end-to-end 3D spheroid imaging workflow\u2014from automated detection and adaptive Z\u2011stacking to high\u2011resolution confocal imaging and downstream analysis\u2014powered by NIS\u2011Elements JOBS and GA3 modules for smart feedback microscopy.<\/p><\/div>\n  <\/div>\n<\/div><div class=\"ws-item\">\n  <button class=\"ws-trigger\" aria-expanded=\"false\" aria-controls=\"ws-panel-S3-11\" id=\"ws-btn-S3-11\">\n    <span class=\"company-tag\">Oxford Instruments<\/span>\n    <span class=\"ws-title\">BC43 &#8211; Productivity, Quality, and imaging excellence in your bench<\/span>\n    <span class=\"chevron\" aria-hidden=\"true\"><svg width=\"14\" height=\"14\" viewBox=\"0 0 16 16\" fill=\"none\"><path d=\"M4 6l4 4 4-4\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/span>\n  <\/button>\n  <div class=\"ws-panel\" id=\"ws-panel-S3-11\" role=\"region\" aria-labelledby=\"ws-btn-S3-11\" hidden>\n    <div class=\"panel-meta\">\n      <span>&#x1f3a4; Aisha Sivakumar<\/span>\n      <span>&#x1f4cd; OXFORD INSTRUMENTS Room<\/span>\n    <\/div>\n    <div class=\"panel-abstract\"><p>Confocal imaging has long been tied to large, complex systems\u2014requiring darkrooms, extensive training, and ongoing specialist support. These barriers often slow down researcher independence and delay results and publications. On top of that, traditional high-end confocal platforms demand continuous, costly maintenance.<\/p><p>Oxford Instruments BC43 changes the game. In a footprint no larger than a printer, BC43 delivers powerful, high-quality confocal imaging\u2014without the complexity of traditional systems. Built with a unique quality control program, every system is guaranteed to deliver consistent, reliable image quality.<\/p><p>Designed around real user needs, BC43 offers unmatched flexibility: start with widefield imaging and upgrade in the field to confocal or super-resolution as your needs evolve.<\/p><p>The new Fusion Benchtop software takes productivity even further, introducing advanced capabilities such as:<\/p><p>\u2022 Irregular and multiple irregular montage<\/p><p>\u2022 Focus maps for complex samples.<\/p><p>\u2022 High-performance large data acquisition<\/p><p>All within an intuitive, easy-to-use workflow.<\/p><p>In this workshop, you will learn how to:<\/p><p>1. Start imaging immediately \u2014 no special training required<\/p><p>2. Capture large 3D datasets quickly and effortlessly<\/p><p>3. Acquire high-quality 2D\/3D data with seamless stitching<\/p><p>4. Boost productivity using the new powerful Fusion Benchtop features.<\/p><p>Join us to discover how BC43 delivers high-end confocal performance, outstanding image quality, and true ease of use\u2014all in a compact benchtop system designed to accelerate your research.<\/p><\/div>\n  <\/div>\n<\/div><div class=\"ws-item\">\n  <button class=\"ws-trigger\" aria-expanded=\"false\" aria-controls=\"ws-panel-S3-12\" id=\"ws-btn-S3-12\">\n    <span class=\"company-tag\">Oxford Nanoimaging Ltd<\/span>\n    <span class=\"ws-title\">PAINTing the Cell, One Target at a Time (Hosted by ONI and Massive Photonics)<\/span>\n    <span class=\"chevron\" aria-hidden=\"true\"><svg width=\"14\" height=\"14\" viewBox=\"0 0 16 16\" fill=\"none\"><path d=\"M4 6l4 4 4-4\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/span>\n  <\/button>\n  <div class=\"ws-panel\" id=\"ws-panel-S3-12\" role=\"region\" aria-labelledby=\"ws-btn-S3-12\" hidden>\n    <div class=\"panel-meta\">\n      <span>&#x1f3a4; Claudia Zagami; Kimberly Cramer; Florian Selbach<\/span>\n      <span>&#x1f4cd; ONI Room<\/span>\n    <\/div>\n    <div class=\"panel-abstract\"><p>Turning signals into breakthroughs with multi-target DNA-PAINT imaging to reveal subcellular complexity beyond the diffraction limit.<\/p><p>DNA-PAINT is a Single-Molecule Localisation Microscopy (SMLM) technique that enables the precise visualisation of structures with high-resolution through transient DNA binding events. By using DNA barcodes, it enables sequential multi-target imaging with high specificity and minimal spectral constraints.<\/p><p>The ONI DNA-PAINT Kit from Massive Photonics streamlines this workflow by providing two single-domain antibodies (sdABs) for DNA-PAINT, along with imager strands and optimized buffers for sample preparation and imaging. With two sdABs per primary antibody, the kit enables robust 2-color DNA-PAINT imaging on ONI microscopes by simply adding the primary antibodies and proceeding directly to imaging.<\/p><p>Participants in this session will learn how to design and execute multi-target DNA-PAINT experiments and acquire high-quality datasets on the ONI Nanoimager platform.<\/p><\/div>\n  <\/div>\n<\/div><div class=\"ws-item\">\n  <button class=\"ws-trigger\" aria-expanded=\"false\" aria-controls=\"ws-panel-S3-13\" id=\"ws-btn-S3-13\">\n    <span class=\"company-tag\">Phaseview<\/span>\n    <span class=\"ws-title\">From Sample to Image \u2014 A Practical Approach to Light-Sheet Microscopy<\/span>\n    <span class=\"chevron\" aria-hidden=\"true\"><svg width=\"14\" height=\"14\" viewBox=\"0 0 16 16\" fill=\"none\"><path d=\"M4 6l4 4 4-4\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/span>\n  <\/button>\n  <div class=\"ws-panel\" id=\"ws-panel-S3-13\" role=\"region\" aria-labelledby=\"ws-btn-S3-13\" hidden>\n    <div class=\"panel-meta\">\n      <span>&#x1f3a4; Igor Lyuboshenko<\/span>\n      <span>&#x1f4cd; PHASEVIEW \/ THORLABS ROOM<\/span>\n    <\/div>\n    <div class=\"panel-abstract\"><p>Light-sheet microscopy is often approached from a system perspective, while in practice imaging results are primarily determined by the sample itself.<\/p><p>This workshop presents a sample-first approach, focusing on how sample geometry, mounting, and imaging conditions influence the final image quality. Through simple and practical demonstrations, we illustrate how light-sheet imaging can be performed using a minimal and robust setup, integrated with an existing microscope.<\/p><p>Participants will see how different sample configurations, including mounting in air or in medium, affect image quality and reproducibility. The workshop highlights how straightforward workflows can be used to validate samples, optimize preparation, and obtain reliable imaging results without introducing unnecessary system complexity.<\/p><p>This approach is particularly relevant for laboratories exploring light-sheet microscopy for the first time, as well as for facilities evaluating whether this technique is suitable for their applications. Emphasis is placed on accessibility, reproducibility, and practical decision-making in real experimental conditions.<\/p><p>The session concludes with an open discussion, where participants are encouraged to present their own samples and challenges for further exchange.<\/p><\/div>\n  <\/div>\n<\/div><div class=\"ws-item\">\n  <button class=\"ws-trigger\" aria-expanded=\"false\" aria-controls=\"ws-panel-S3-14\" id=\"ws-btn-S3-14\">\n    <span class=\"company-tag\">PicoQuant<\/span>\n    <span class=\"ws-title\">Towards smart microscopy workflows with a python interface in Luminosa<\/span>\n    <span class=\"chevron\" aria-hidden=\"true\"><svg width=\"14\" height=\"14\" viewBox=\"0 0 16 16\" fill=\"none\"><path d=\"M4 6l4 4 4-4\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/span>\n  <\/button>\n  <div class=\"ws-panel\" id=\"ws-panel-S3-14\" role=\"region\" aria-labelledby=\"ws-btn-S3-14\" hidden>\n    <div class=\"panel-meta\">\n      <span>&#x1f3a4; Isabel Gross;Fabian Jolmes;Fabio Barachati;Johan Hummert<\/span>\n      <span>&#x1f4cd; PICOQUANT Room<\/span>\n    <\/div>\n    <div class=\"panel-abstract\"><p>\u201cSmart\u201d or Adaptive Feedback Microscopy or Event Driven Microscopy aims to combine bioimage analysis (and other algorithms) with fully motorized and computer-controlled microscopes to create automated and adaptive measurement sequences. This enables the user for example to monitor transient and rare events in the desired level of detail across a large cell population or over long observation times or to streamline the optimization of acquisition parameters and the batch analysis of multiple measurements in a single script.<\/p><p>Here, we present the development of a scripting concept based on the Python programming language for the fully motorized single-photon counting confocal microscope Luminosa. We illustrate these benefits by presenting specific use cases for automated optimization of acquisition parameters. The framework fully opens up the microscope interface to allow the user to call external python libraries without compromising the workflows and functionalities present in the microscope software, such as the user settings, laser safety interlock, and predefined functionality blocks for auto-alignment, live views, etc. Thus scripting demands for the user remain rather low enabling non-experts to develop their own measurement\/analysis pipelines.<\/p><p>We envision that the community will build upon this python interface bringing the rapidly evolving open source activities closer to the commercial instrumentation allowing for more efficient method developments nd granting end users direct access to cutting-edge developments. As an example of all possibilities opened via the python interface a connection of between Luminosa and AI-Agents will be shown.<\/p><\/div>\n  <\/div>\n<\/div><div class=\"ws-item\">\n  <button class=\"ws-trigger\" aria-expanded=\"false\" aria-controls=\"ws-panel-S3-15\" id=\"ws-btn-S3-15\">\n    <span class=\"company-tag\">Tomocube<\/span>\n    <span class=\"ws-title\">Holotomography for Every Lab: Label-Free 3D Live Imaging with the HT-X1 mini<\/span>\n    <span class=\"chevron\" aria-hidden=\"true\"><svg width=\"14\" height=\"14\" viewBox=\"0 0 16 16\" fill=\"none\"><path d=\"M4 6l4 4 4-4\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/span>\n  <\/button>\n  <div class=\"ws-panel\" id=\"ws-panel-S3-15\" role=\"region\" aria-labelledby=\"ws-btn-S3-15\" hidden>\n    <div class=\"panel-meta\">\n      <span>&#x1f3a4; Bruno Combettes; Reza Pari-Nejad; Daniel Ghete<\/span>\n      <span>&#x1f4cd; TOMOCUBE Room<\/span>\n    <\/div>\n    <div class=\"panel-abstract\"><p>Holotomography (HT) is a powerful tool for label-free, quantitative 3D imaging of living cells. By reconstructing the three-dimensional refractive index (RI) distribution of biological specimens, HT reveals subcellular structures\u2014including nuclei, mitochondria, and lipid droplets\u2014without the need for exogenous labels or staining, preserving the native physiological state of cells throughout the experiment.<\/p><p>In this workshop, we introduce the HT-X1 mini, the latest addition to Tomocube\u2019s HT-X1 series. The HT-X1 mini brings full HT performance to an affordable, everyday-ready platform designed to lower the barrier to high-quality label-free imaging. As a table-top system, it fits seamlessly into culture rooms and space-limited environments, and operates via a laptop-based workflow with minimal setup requirements.<\/p><p>Despite its compact form factor, the HT-X1 mini delivers comparable performance to other HT-X1 series systems, supporting high-resolution 3D structural visualization and quantitative RI-based analysis through TomoAnalysis&#x2122; workflows. The system is expandable with optional modules\u2014including a stage-top incubator for long-term live-cell imaging, a fluorescence light engine for target-specific signals, additional HT wavelengths, and a laser-based autofocus sensor\u2014making it adaptable as research needs evolve.<\/p><p>This workshop will present representative applications enabled by the HT-X1 mini, including cell morphology observation, quantitative phenotyping, and routine live-cell culture monitoring. We will demonstrate how RI-based imaging provides immediate biological insight\u2014from single-cell morphodynamics to subcellular organelle tracking\u2014enabling rich structural insight from label-free RI data. Overall, we aim to show that HT is no longer a specialized capability reserved for a few labs, but an accessible, everyday imaging modality available to any cell biology researcher.<\/p><\/div>\n  <\/div>\n<\/div>\n    <\/div>\n  <\/div>\n<\/div><div class=\"session-block\" id=\"S4\">\n  <button class=\"session-trigger\" aria-expanded=\"false\" aria-controls=\"session-panel-S4\" id=\"session-btn-S4\">\n    <span class=\"session-info\">\n      <span class=\"session-title\">Day 2 Session 1<\/span>\n      <span class=\"session-sub\">&#x1f4c5; June 18 &nbsp;\u00b7&nbsp; &#x23f0; 11:30\u201312:30<\/span>\n    <\/span>\n    <span class=\"session-count\">19 workshops<\/span>\n    <span class=\"session-chevron\" aria-hidden=\"true\"><svg width=\"20\" height=\"20\" viewBox=\"0 0 16 16\" fill=\"none\"><path d=\"M4 6l4 4 4-4\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/span>\n  <\/button>\n  <div class=\"session-panel\" id=\"session-panel-S4\" role=\"region\" aria-labelledby=\"session-btn-S4\" hidden>\n    <div class=\"ws-accordion\">\n      <div class=\"ws-item\">\n  <button class=\"ws-trigger\" aria-expanded=\"false\" aria-controls=\"ws-panel-S4-0\" id=\"ws-btn-S4-0\">\n    <span class=\"company-tag\">Abbelight<\/span>\n    <span class=\"ws-title\">Simultaneous multicolor TIRF Imaging with Abbelight SAFe System<\/span>\n    <span class=\"chevron\" aria-hidden=\"true\"><svg width=\"14\" height=\"14\" viewBox=\"0 0 16 16\" fill=\"none\"><path d=\"M4 6l4 4 4-4\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/span>\n  <\/button>\n  <div class=\"ws-panel\" id=\"ws-panel-S4-0\" role=\"region\" aria-labelledby=\"ws-btn-S4-0\" hidden>\n    <div class=\"panel-meta\">\n      <span>&#x1f3a4; Tom Borianne<\/span>\n      <span>&#x1f4cd; ABBELIGHT Room<\/span>\n    <\/div>\n    <div class=\"panel-abstract\"><p>Total Internal Reflection Fluorescence (TIRF) microscopy is a powerful tool for studying dynamic biological processes that occur at or near the plasma membrane or during in vitro reconstitutions. An evanescent field excites fluorophores in a thin slice of 100 to 200 nm above the glass surface, achieving a sectioning 5 to 10 times sharper than confocal microscopy. By minimizing background and achieving a high signal-to-noise ratio, dynamic processes can be monitored precisely and with low cytotoxicity. In the past, TIRF was generally conducted one color at a time, limiting the extent of interpretation when following complex mechanisms involving multiple molecular partners.<\/p><p>In this workshop, we demonstrate Abbelight simultaneous multicolor TIRF imaging, enabled by the SAFe platform workflow, designed to combine versatility, automation, and precision. Our system enables up to 4-colors imaging, both simultaneous and sequential, giving researchers the flexibility to study complex phenomenon involving multiple molecular partners or structures within the same field of view.<\/p><p>Based on automatic calibration, Abbelight NEO LiveImagingTM software predicts the penetration depth based on the illumination angle chosen by the user. This gives users precise control over the excitation depth and ensures reproducible imaging and quantifications across experimental sessions. Overall, Abbelight SAFe simultaneous multicolor TIRF imaging enables the investigation of protein colocalization, receptor clustering, membrane trafficking, phase separation, biocondensates dynamics, signal transduction, and many other dynamic membrane processes.<\/p><\/div>\n  <\/div>\n<\/div><div class=\"ws-item tba-item\">\n  <button class=\"ws-trigger\" aria-expanded=\"false\" aria-controls=\"ws-panel-S4-1\" id=\"ws-btn-S4-1\">\n    <span class=\"company-tag\">Abberior Instruments<\/span>\n    <span class=\"ws-title\">Abberior Workshop \u2014 title TBA<span class=\"tba-badge\">Details TBA<\/span><\/span>\n    <span class=\"chevron\" aria-hidden=\"true\"><svg width=\"14\" height=\"14\" viewBox=\"0 0 16 16\" fill=\"none\"><path d=\"M4 6l4 4 4-4\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/span>\n  <\/button>\n  <div class=\"ws-panel\" id=\"ws-panel-S4-1\" role=\"region\" aria-labelledby=\"ws-btn-S4-1\" hidden>\n    <div class=\"panel-meta\">\n      <span>&#x1f3a4; TBA<\/span>\n      <span>&#x1f4cd; ABBERIOR Room<\/span>\n    <\/div>\n    <div class=\"panel-abstract\"><p>Details to be announced.<\/p><\/div>\n  <\/div>\n<\/div><div class=\"ws-item\">\n  <button class=\"ws-trigger\" aria-expanded=\"false\" aria-controls=\"ws-panel-S4-2\" id=\"ws-btn-S4-2\">\n    <span class=\"company-tag\">Bruker<\/span>\n    <span class=\"ws-title\">Vutara VXL \u2013 Volumetric- and 3D-Single-Molecule-Localization Microscopy<\/span>\n    <span class=\"chevron\" aria-hidden=\"true\"><svg width=\"14\" height=\"14\" viewBox=\"0 0 16 16\" fill=\"none\"><path d=\"M4 6l4 4 4-4\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/span>\n  <\/button>\n  <div class=\"ws-panel\" id=\"ws-panel-S4-2\" role=\"region\" aria-labelledby=\"ws-btn-S4-2\" hidden>\n    <div class=\"panel-meta\">\n      <span>&#x1f3a4; Corentin Rousset<\/span>\n      <span>&#x1f4cd; BRUKER Room<\/span>\n    <\/div>\n    <div class=\"panel-abstract\"><p>Modern fluorescence microscopy applications need to be performed in natural environments of the structures of interests. This requires using large samples, like tissue slices, organoids\/spheroids or even whole model organisms. One of the main limitations of Single Molecule Localization Microscopy microscopes is their weak ability to image structures deeper than few nm of the coverslip.<\/p><p>Engineered with simplicity and functionality in mind, the Bruker Vutara VXL system is different, as it uses robust widefield illumination in combination with the patented Biplane detection for 3D imaging. With this combination entire volumes in up to 50 \u00b5m depth inside the sample can be resolved in 3D with 20 nm resolution. The comprehensive processing and analysis pipeline in the SRX software package provides insights into the 3D-distribution of the detected molecules within cells in their native environment.<\/p><\/div>\n  <\/div>\n<\/div><div class=\"ws-item\">\n  <button class=\"ws-trigger\" aria-expanded=\"false\" aria-controls=\"ws-panel-S4-3\" id=\"ws-btn-S4-3\">\n    <span class=\"company-tag\">Carl Zeiss MIcroscopy GmbH<\/span>\n    <span class=\"ws-title\">Instant Volumetric Imaging of Fast Biological Dynamics with ZEISS Lightfield 4D<\/span>\n    <span class=\"chevron\" aria-hidden=\"true\"><svg width=\"14\" height=\"14\" viewBox=\"0 0 16 16\" fill=\"none\"><path d=\"M4 6l4 4 4-4\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/span>\n  <\/button>\n  <div class=\"ws-panel\" id=\"ws-panel-S4-3\" role=\"region\" aria-labelledby=\"ws-btn-S4-3\" hidden>\n    <div class=\"panel-meta\">\n      <span>&#x1f3a4; Christine Strasser<\/span>\n      <span>&#x1f4cd; ZEISS Room<\/span>\n    <\/div>\n    <div class=\"panel-abstract\"><p>Biological processes occur across spatial and temporal scales that increasingly challenge conventional three dimensional imaging approaches. Capturing fast physiological dynamics in living systems requires volumetric imaging methods that provide high temporal resolution without compromising spatial context. The recently introduced Lightfield 4D technology, integrated into the ZEISS LSM 910 and LSM 990 platforms, addresses this challenge by enabling instant volumetric acquisition within a single camera exposure.<\/p><p>Implemented as a modular component of the LSM 910 and LSM 990, ZEISS Lightfield 4D allows for mixed modality workflows where images of the sample specimen can be captured at high temporal resolution with the Lightfield and then LSM for higher spatial resolution, spectral multiplex imaging, molecular dynamics measurements, and photomanipulation. This flexibility supports experiments across a wide range of sample types, including cultured cells, organoids, tissue sections, and small model organisms.<\/p><p>In this presentation, we will introduce the principles underlying Lightfield 4D imaging on the ZEISS LSM 910 and LSM 990 platforms and discuss how instant volumetric acquisition reshapes experimental design for dynamic biological systems. Application examples will be shown to illustrate how high speed 4D imaging can reveal biological processes that are difficult or impossible to capture using sequential z stack approaches, as well as highlighting new opportunities for physiological and functional imaging.<\/p><\/div>\n  <\/div>\n<\/div><div class=\"ws-item\">\n  <button class=\"ws-trigger\" aria-expanded=\"false\" aria-controls=\"ws-panel-S4-4\" id=\"ws-btn-S4-4\">\n    <span class=\"company-tag\">CrestOptics<\/span>\n    <span class=\"ws-title\">Deep into details: High-Resolution Imaging of thick samples in the Low-to-Mid Magnification range with CrestOptics X-Light V3 Spinning Disk and DeepSIM<\/span>\n    <span class=\"chevron\" aria-hidden=\"true\"><svg width=\"14\" height=\"14\" viewBox=\"0 0 16 16\" fill=\"none\"><path d=\"M4 6l4 4 4-4\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/span>\n  <\/button>\n  <div class=\"ws-panel\" id=\"ws-panel-S4-4\" role=\"region\" aria-labelledby=\"ws-btn-S4-4\" hidden>\n    <div class=\"panel-meta\">\n      <span>&#x1f3a4; Laura Ferrucci ; Gregory Perry<\/span>\n      <span>&#x1f4cd; CRESTOPTICS Room<\/span>\n    <\/div>\n    <div class=\"panel-abstract\"><p>Imaging thick biological specimens, such as tissues, small animal models or 3D organoids, often forces researchers to compromise between achieving high subcellular resolution and capturing a large field of view (FOV). In this workshop we present the CrestOptics X-Light V3 Spinning Disk and DeepSIM Super-Resolution system, a correlative imaging platform that combines large-field imaging in confocal mode with a seamless transition to SIM super-resolution, all using shared optics and standard sample preparation. The X-Light V3 enables fast confocal acquisition of large 3D datasets with rapid deep Z-stacks and vignetting-free tile scans thanks to its extra-large FOV coupled with superior illumination flatness and enhanced sensitivity. The DeepSIM super-resolves intricate structures across samples of increasing morphological complexity and thickness, imaging at the same Z-depth of the Spinning Disk Confocal microscope. CrestOptics DeepSIM, indeed, offers full compatibility with the Low-to-Mid Magnification range, down to the 20x dry lens, where wider FOV, longer Working Distance and higher brightness of the Low-to-Mid Mag objectives are essential features for approaching thick biological samples. We will demonstrate the capabilities of this integrated workflow for high-content analysis of small animal models, organoids and tissues, with real case examples on a number of thick samples commonly imaged in any imaging facility.<\/p><\/div>\n  <\/div>\n<\/div><div class=\"ws-item\">\n  <button class=\"ws-trigger\" aria-expanded=\"false\" aria-controls=\"ws-panel-S4-5\" id=\"ws-btn-S4-5\">\n    <span class=\"company-tag\">CSR Europe GmbH<\/span>\n    <span class=\"ws-title\">Next Generation SIM: Redefining Speed and Resolution for Living Systems<\/span>\n    <span class=\"chevron\" aria-hidden=\"true\"><svg width=\"14\" height=\"14\" viewBox=\"0 0 16 16\" fill=\"none\"><path d=\"M4 6l4 4 4-4\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/span>\n  <\/button>\n  <div class=\"ws-panel\" id=\"ws-panel-S4-5\" role=\"region\" aria-labelledby=\"ws-btn-S4-5\" hidden>\n    <div class=\"panel-meta\">\n      <span>&#x1f3a4; Peter Laskey; Nina Wang<\/span>\n      <span>&#x1f4cd; CSR BIOTECH Room<\/span>\n    <\/div>\n    <div class=\"panel-abstract\"><p>Structured Illumination Microscopy (SIM) has become a key approach for super-resolution imaging. However, classical SIM and conventional systems are often limited by trade-offs in speed, resolution, photobleaching control, and workflow flexibility, particularly in demanding live and volumetric imaging applications.<\/p><p>This workshop presents CSR Biotech\u2019s next-generation MI-SIM platform, addressing these limitations through advanced hardware\u2013software integration. During the session, we will demonstrate high-speed and high-resolution live-cell imaging and explore the power of real-time reconstruction. We will also highlight how Sparse deconvolution allows for the extended imaging of sensitive samples without sacrificing structural detail.<\/p><p>We will further examine the platform\u2019s multiple imaging modes, including TIRF-SIM and 3D-SIM. Finally, we will showcase smart imaging features such as AI-based cell division detection and cell tracking for time-series analysis. These advancements illustrate a highly automated and intelligent SIM imaging workflow.<\/p><\/div>\n  <\/div>\n<\/div><div class=\"ws-item\">\n  <button class=\"ws-trigger\" aria-expanded=\"false\" aria-controls=\"ws-panel-S4-6\" id=\"ws-btn-S4-6\">\n    <span class=\"company-tag\">Evident<\/span>\n    <span class=\"ws-title\">EVIDENT FLUOVIEW FV5000 Laser Scanning Confocal &#8211; Reproducible Imaging with FLUOVIEW SMART and Performance Monitoring<\/span>\n    <span class=\"chevron\" aria-hidden=\"true\"><svg width=\"14\" height=\"14\" viewBox=\"0 0 16 16\" fill=\"none\"><path d=\"M4 6l4 4 4-4\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/span>\n  <\/button>\n  <div class=\"ws-panel\" id=\"ws-panel-S4-6\" role=\"region\" aria-labelledby=\"ws-btn-S4-6\" hidden>\n    <div class=\"panel-meta\">\n      <span>&#x1f3a4; Robert Kasper<\/span>\n      <span>&#x1f4cd; EVIDENT Room<\/span>\n    <\/div>\n    <div class=\"panel-abstract\"><p>This EVIDENT workshop presents the FLUOVIEW FV5000 confocal system on the IX85 platform, with a focus on workflow automation, reproducibility, and quantitative imaging enabled by the FLUOVIEW SMART AI guided software interface and integrated performance monitoring tools.<\/p><p>The session introduces how FLUOVIEW SMART streamlines the imaging process by automating key setup steps, including sample detection, focus alignment, and laser power optimization. By removing manual adjustment layers, the system reduces user-dependent variability and enables consistent imaging outcomes across users, experiments, and sites.<\/p><p>A dedicated part of the workshop covers the Microscope Performance Monitor, demonstrating how system performance can be tracked, validated, and documented over time especially in a muti-user environment In addition to our Laser Power Monitor and and SilVIR detector, this enables reproducible imaging conditions and supports long-term data comparability and truly quantitative imaging experiments<\/p><p>The workshop further highlights how the FV5000 supports reliable, quantitative fluorescence imaging through controlled photon detection and a wide dynamic range. This allows users to move from relative intensity measurements toward more robust and reviewable data, addressing increasing demands for reproducibility and data integrity in advanced imaging workflows.<\/p><\/div>\n  <\/div>\n<\/div><div class=\"ws-item\">\n  <button class=\"ws-trigger\" aria-expanded=\"false\" aria-controls=\"ws-panel-S4-7\" id=\"ws-btn-S4-7\">\n    <span class=\"company-tag\">Intelligent Imaging Innovations GmbH<\/span>\n    <span class=\"ws-title\">PlantScope: Live Root Tip Tracking for Dynamic Plant Imaging<\/span>\n    <span class=\"chevron\" aria-hidden=\"true\"><svg width=\"14\" height=\"14\" viewBox=\"0 0 16 16\" fill=\"none\"><path d=\"M4 6l4 4 4-4\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/span>\n  <\/button>\n  <div class=\"ws-panel\" id=\"ws-panel-S4-7\" role=\"region\" aria-labelledby=\"ws-btn-S4-7\" hidden>\n    <div class=\"panel-meta\">\n      <span>&#x1f3a4; Daniel von Wangenheim; Nicole Zobiack; Ben Atkinson<\/span>\n      <span>&#x1f4cd; 3i Room<\/span>\n    <\/div>\n    <div class=\"panel-abstract\"><p>PlantScope is a turnkey live-cell imaging platform designed for long-term observation of growing plant roots with automated tracking. The system enables researchers to follow root tip dynamics over hours to days while maintaining plants in a physiologically relevant upright growth orientation using a unique vertical stage design.<\/p><p>A key capability of PlantScope is automated live root tip tracking. As roots grow and change direction, the system continuously follows the advancing tip and acquires high-resolution image montages that capture the entire developmental cycle, including the meristematic, elongation, and differentiation zones at every time point. This enables comprehensive visualization of root growth dynamics, cell division patterns, tropic responses, and developmental trajectories across extended time-lapse experiments.<\/p><p>At the core of PlantScope, SlideBook and the Yokogawa CSU-W1 spinning disk confocal enable robust capture of dynamic biological processes in realtime. The CSU-W1 delivers rapid acquisition speeds, high sensitivity and multi-color sub-cellular imaging optimized for live samples. SlideBook software seamlessly coordinates all hardware &#8211; including microscope, camera, stage, spinning disk, laser launch, NIR lamp &#8211; in combination with automated tracking and adaptive imaging workflows in a familiar, easy-to-use interface.<\/p><p>In this workshop, we will demonstrate the PlantScope Marianas multimodal microscopy system with root tip tracking capabilities, showcasing automated long-term imaging workflows and high-resolution visualization of dynamic root development.<\/p><\/div>\n  <\/div>\n<\/div><div class=\"ws-item\">\n  <button class=\"ws-trigger\" aria-expanded=\"false\" aria-controls=\"ws-panel-S4-8\" id=\"ws-btn-S4-8\">\n    <span class=\"company-tag\">Leica<\/span>\n    <span class=\"ws-title\">Viventis SCAPE: New light sheet microscopy platform for high speed 3D imaging using standard sample carriers<\/span>\n    <span class=\"chevron\" aria-hidden=\"true\"><svg width=\"14\" height=\"14\" viewBox=\"0 0 16 16\" fill=\"none\"><path d=\"M4 6l4 4 4-4\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/span>\n  <\/button>\n  <div class=\"ws-panel\" id=\"ws-panel-S4-8\" role=\"region\" aria-labelledby=\"ws-btn-S4-8\" hidden>\n    <div class=\"panel-meta\">\n      <span>&#x1f3a4; Judith Reddington<\/span>\n      <span>&#x1f4cd; LEICA Room<\/span>\n    <\/div>\n    <div class=\"panel-abstract\"><p>S. Untucht, P. Rodriguez, M. Beljan, K. Ritschel, A. Wede, A. Schmitz, B. Deissler, Z. Jiang, V. Augustin, J. Pearson, S. Schicktanz, F. Fahrbach, J. Reddington<\/p><p>Leica Microsystems CMS GmbH, Mannheim, Germany.<\/p><p>Here we present the new Leica Viventis SCAPE, based on oblique plane microscopy (OPM)\u00b9 and swept confocally aligned planar excitation (SCAPE)\u00b2,\u00b3 technologies.<\/p><p>This system is designed for high-speed, high-throughput volumetric light sheet imaging and is compatible with commonly used carriers, including glass slides, Petri dishes, and well plates. Viventis SCAPE enables fast 3D imaging without the need for specialized holders or deviations from common sample mounting protocols.<\/p><p>We demonstrate the intuitively designed Viventis SCAPE workflow, from straightforward sample mounting in standard carriers and streamlined software integration to fast volumetric acquisition. Practical examples will illustrate how Viventis SCAPE enables high-speed 3D imaging of a wide range of specimens, including 2D cell culture, 3D tissues, organoids, and small organisms, providing new opportunities for observing biological dynamics in real time.<\/p><p>Join this session to discover how Viventis SCAPE delivers fast, gentle, and accessible light sheet imaging\u2014bringing high-speed 3D microscopy into standard laboratory workflows.<\/p><p>1. Dunsby, C. et al. Optically sectioned imaging by oblique plane microscopy. Opt. Express 16, 20306\u201320316 (2008).<\/p><p>2. Bouchard, M. B. et al. Swept confocally-aligned planar excitation (SCAPE) microscopy for high-speed volumetric imaging of behaving organisms. Nat. Photonics 9, 113\u2013119 (2015).<\/p><p>3. Voleti, V. et al. Real-time volumetric microscopy of in vivo dynamics and large-scale samples with SCAPE 2.0. Nat. Methods 16, 1054\u20131062 (2019).<\/p><\/div>\n  <\/div>\n<\/div><div class=\"ws-item\">\n  <button class=\"ws-trigger\" aria-expanded=\"false\" aria-controls=\"ws-panel-S4-9\" id=\"ws-btn-S4-9\">\n    <span class=\"company-tag\">Miltenyi Biotec B.V. &amp; Co. KG<\/span>\n    <span class=\"ws-title\">Light Sheet Microscopy at LightSpeed: Transforming 3D Imaging with UltraMicroscope Blaze&#x2122;<\/span>\n    <span class=\"chevron\" aria-hidden=\"true\"><svg width=\"14\" height=\"14\" viewBox=\"0 0 16 16\" fill=\"none\"><path d=\"M4 6l4 4 4-4\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/span>\n  <\/button>\n  <div class=\"ws-panel\" id=\"ws-panel-S4-9\" role=\"region\" aria-labelledby=\"ws-btn-S4-9\" hidden>\n    <div class=\"panel-meta\">\n      <span>&#x1f3a4; Guruchandar Arulmozhivarman;Afshin Khalili ; Luis Muniz<\/span>\n      <span>&#x1f4cd; MILTENYI Room<\/span>\n    <\/div>\n    <div class=\"panel-abstract\"><p>Visualizing the three-dimensional architecture of complex biological specimens has traditionally required labor-intensive workflows and imaging times ranging from hours to days. To overcome these limitations, Miltenyi Biotec offers an integrated 3D imaging ecosystem that streamlines sample processing, acquisition, visualization, and analysis. In this workshop, we will present live demonstrations of the UltraMicroscope Blaze&#x2122; and its latest innovations for high-speed, scalable light sheet imaging. Attendees will experience the new LightSpeed mode, enabling up to 60-fold faster image acquisition for large-volume specimens, alongside the MACS iQ View \u2013 3D Large Volume package for efficient visualization and handling of large multidimensional datasets with OCTAGON PRIME. We will further highlight an integrated 3D\/2D workflow combining volumetric imaging with high-plex spatial analysis, providing a comprehensive solution for accelerated, data-rich biological discovery.<\/p><\/div>\n  <\/div>\n<\/div><div class=\"ws-item\">\n  <button class=\"ws-trigger\" aria-expanded=\"false\" aria-controls=\"ws-panel-S4-10\" id=\"ws-btn-S4-10\">\n    <span class=\"company-tag\">Nikon Europe BV<\/span>\n    <span class=\"ws-title\">Introducing the New Scanning Solution from Nikon \u2013 Slide Scanning Made Easy Without Compromising on Image Quality<\/span>\n    <span class=\"chevron\" aria-hidden=\"true\"><svg width=\"14\" height=\"14\" viewBox=\"0 0 16 16\" fill=\"none\"><path d=\"M4 6l4 4 4-4\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/span>\n  <\/button>\n  <div class=\"ws-panel\" id=\"ws-panel-S4-10\" role=\"region\" aria-labelledby=\"ws-btn-S4-10\" hidden>\n    <div class=\"panel-meta\">\n      <span>&#x1f3a4; Orsolya Szilagyi<\/span>\n      <span>&#x1f4cd; NIKON Room<\/span>\n    <\/div>\n    <div class=\"panel-abstract\"><p>Steep learning curves, inconsistent image quality, and long scanning times are common challenges in slide scanning workflows. The NIS-Elements Slide Scanning solution overcomes them with an intuitive, guided workflow and pre optimized settings that eliminate the need for extensive training. High quality optics and AI powered focusing ensure sharp, reliable images while automatically identifying and capturing all regions of interest at optimal settings. High speed scanning and precise tiling reduce whole tissue acquisition to under a minute, and a streamlined gallery view enables easy visualization and downstream analysis directly within NIS Elements.<\/p><p>The NIS Elements Slide Scanning module is a powerful software solution in combination with the reliable Ni E upright microscope offers:<\/p><p>\u2022 Scanning of up to 8 standard or 4 double slides simultaneously<\/p><p>\u2022 Full automation combined with premium grade optics<\/p><p>\u2022 High resolution, high speed imaging in both brightfield and fluorescence<\/p><p>\u2022 An intuitive, user friendly interface<\/p><p>During the workshop, the complete workflow of the scanner will be demonstrated alongside practical examples showing how acquired images can be further enhanced using the powerful post processing and analysis tools available within the NIS Elements software.<\/p><p>Explore the future of slide scanning by registering for the upcoming workshop and discover how this innovative solution can enhance research workflows and laboratory efficiency.<\/p><p>Reserve a spot today and take the next step in advancing microscopy capabilities with Nikon.<\/p><\/div>\n  <\/div>\n<\/div><div class=\"ws-item\">\n  <button class=\"ws-trigger\" aria-expanded=\"false\" aria-controls=\"ws-panel-S4-11\" id=\"ws-btn-S4-11\">\n    <span class=\"company-tag\">Oxford Instruments<\/span>\n    <span class=\"ws-title\">BC43 &#8211; Productivity, Quality, and imaging excellence in your bench<\/span>\n    <span class=\"chevron\" aria-hidden=\"true\"><svg width=\"14\" height=\"14\" viewBox=\"0 0 16 16\" fill=\"none\"><path d=\"M4 6l4 4 4-4\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/span>\n  <\/button>\n  <div class=\"ws-panel\" id=\"ws-panel-S4-11\" role=\"region\" aria-labelledby=\"ws-btn-S4-11\" hidden>\n    <div class=\"panel-meta\">\n      <span>&#x1f3a4; Aisha Sivakumar<\/span>\n      <span>&#x1f4cd; OXFORD INSTRUMENTS Room<\/span>\n    <\/div>\n    <div class=\"panel-abstract\"><p>Confocal imaging has long been tied to large, complex systems\u2014requiring darkrooms, extensive training, and ongoing specialist support. These barriers often slow down researcher independence and delay results and publications. On top of that, traditional high-end confocal platforms demand continuous, costly maintenance.<\/p><p>Oxford Instruments BC43 changes the game. In a footprint no larger than a printer, BC43 delivers powerful, high-quality confocal imaging\u2014without the complexity of traditional systems. Built with a unique quality control program, every system is guaranteed to deliver consistent, reliable image quality.<\/p><p>Designed around real user needs, BC43 offers unmatched flexibility: start with widefield imaging and upgrade in the field to confocal or super-resolution as your needs evolve.<\/p><p>The new Fusion Benchtop software takes productivity even further, introducing advanced capabilities such as:<\/p><p>\u2022 Irregular and multiple irregular montage<\/p><p>\u2022 Focus maps for complex samples.<\/p><p>\u2022 High-performance large data acquisition<\/p><p>All within an intuitive, easy-to-use workflow.<\/p><p>In this workshop, you will learn how to:<\/p><p>1. Start imaging immediately \u2014 no special training required<\/p><p>2. Capture large 3D datasets quickly and effortlessly<\/p><p>3. Acquire high-quality 2D\/3D data with seamless stitching<\/p><p>4. Boost productivity using the new powerful Fusion Benchtop features.<\/p><p>Join us to discover how BC43 delivers high-end confocal performance, outstanding image quality, and true ease of use\u2014all in a compact benchtop system designed to accelerate your research.<\/p><\/div>\n  <\/div>\n<\/div><div class=\"ws-item\">\n  <button class=\"ws-trigger\" aria-expanded=\"false\" aria-controls=\"ws-panel-S4-12\" id=\"ws-btn-S4-12\">\n    <span class=\"company-tag\">Oxford Nanoimaging Ltd<\/span>\n    <span class=\"ws-title\">Explore the Nanoscale with DNA-PAINT (Hosted by ONI and Massive Photonics)<\/span>\n    <span class=\"chevron\" aria-hidden=\"true\"><svg width=\"14\" height=\"14\" viewBox=\"0 0 16 16\" fill=\"none\"><path d=\"M4 6l4 4 4-4\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/span>\n  <\/button>\n  <div class=\"ws-panel\" id=\"ws-panel-S4-12\" role=\"region\" aria-labelledby=\"ws-btn-S4-12\" hidden>\n    <div class=\"panel-meta\">\n      <span>&#x1f3a4; Claudia Zagami; Kimberly Cramer; Florian Selbach<\/span>\n      <span>&#x1f4cd; ONI Room<\/span>\n    <\/div>\n    <div class=\"panel-abstract\"><p>A hands-on introduction to DNA-PAINT imaging, from experimental design to structures redefined.<\/p><p>DNA-PAINT is a Single-Molecule Localization Microscopy (SMLM) technique that enables the precise visualization of structures with high-resolution through transient DNA binding events.<\/p><p>This workshop will cover the full ONI DNA-PAINT workflow: from experimental design and sample preparation to image acquisition and quantitative analysis using CODI. The focus is on building a practical understanding of how to design robust experiments, acquire high-quality datasets, and extract quantitative information from nanoscale biological structures.<\/p><p>This hands-on session is ideal for researchers looking to get started with DNA-PAINT and develop confidence in end-to-end super-resolution imaging workflows.<\/p><\/div>\n  <\/div>\n<\/div><div class=\"ws-item\">\n  <button class=\"ws-trigger\" aria-expanded=\"false\" aria-controls=\"ws-panel-S4-13\" id=\"ws-btn-S4-13\">\n    <span class=\"company-tag\">PicoQuant<\/span>\n    <span class=\"ws-title\">Luminosa and NovaFLIM: From Lifetime Data to Quantitative Insights across scales<\/span>\n    <span class=\"chevron\" aria-hidden=\"true\"><svg width=\"14\" height=\"14\" viewBox=\"0 0 16 16\" fill=\"none\"><path d=\"M4 6l4 4 4-4\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/span>\n  <\/button>\n  <div class=\"ws-panel\" id=\"ws-panel-S4-13\" role=\"region\" aria-labelledby=\"ws-btn-S4-13\" hidden>\n    <div class=\"panel-meta\">\n      <span>&#x1f3a4; Isabel Gross;Fabian Jolmes;Fabio Barachati;Johan Hummert<\/span>\n      <span>&#x1f4cd; PICOQUANT Room<\/span>\n    <\/div>\n    <div class=\"panel-abstract\"><p>Quantitative time-resolved fluorescence techniques like Fluorescence Lifetime Imaging (FLIM) have become more attractive recently to study mechanisms driven by phase separation or to sense the cellular environment, for example.<\/p><p>PicoQuant`s innovative confocal microscope Luminosa combines state-of-the-art hardware with cutting edge software to deliver high quality data while simplifying daily operation. The software includes several features which improve the ease of use and reproducibility of experiments, including context-based workflows, sample-free auto-alignment and excitation laser power calibration. Still, if required for new method development every optomechanical component can be fully accessible.<\/p><p>We will show how FLIM is streamlined with Luminosa.. In combination with GPU-accelerated algorithms, this enables high-speed automated analysis of FLIM images. The InstaFLIM analysis workflow suggests the best fitting model based on statistical arguments, requiring minimal user interaction. The additional NovaFLIM software (also available for FLIM images acquired with LSM Upgrade kits) enables more extensive and advanced image analysis offering an holistic FLIM analysis process including exponential decay analysis, phasor plots and pattern matching.<\/p><p>The design of Luminosa`s software makes all data easily accessible. It works with the open, well documented PTU data format, enabling custom analysis while in includes enhanced, well structured metadata and ome-tiff exports.<\/p><\/div>\n  <\/div>\n<\/div><div class=\"ws-item\">\n  <button class=\"ws-trigger\" aria-expanded=\"false\" aria-controls=\"ws-panel-S4-14\" id=\"ws-btn-S4-14\">\n    <span class=\"company-tag\">Thorlabs GmbH<\/span>\n    <span class=\"ws-title\">From Components to Complete Multiphoton Microscopes: Customer-Inspired Imaging Solutions<\/span>\n    <span class=\"chevron\" aria-hidden=\"true\"><svg width=\"14\" height=\"14\" viewBox=\"0 0 16 16\" fill=\"none\"><path d=\"M4 6l4 4 4-4\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/span>\n  <\/button>\n  <div class=\"ws-panel\" id=\"ws-panel-S4-14\" role=\"region\" aria-labelledby=\"ws-btn-S4-14\" hidden>\n    <div class=\"panel-meta\">\n      <span>&#x1f3a4; Sergey Matveev<\/span>\n      <span>&#x1f4cd; PHASEVIEW \/ THORLABS ROOM<\/span>\n    <\/div>\n    <div class=\"panel-abstract\"><p>Multiphoton microscopy has become an essential tool for studying neuronal activity, circuit dynamics, and complex biological processes in living specimens. However, advanced imaging experiments have traditionally depended on highly customized systems, specialist alignment knowledge, and careful integration of many optical, mechanical, electronic, and laser components.<\/p><p>This workshop presents Thorlabs\u2019 evolving component-to-system approach to multiphoton microscopy, developed through a large portfolio of photonics, optomechanics, objectives, detectors, motion control, and imaging technologies. We will discuss how Thorlabs\u2019 long-standing component expertise has expanded into customer-inspired turnkey and modular microscopy platforms, and how this system-level experience now feeds back into the development of broadly useful microscopy components for the wider life-science community.<\/p><p>As an example of this approach, we will highlight the Prelude\u00ae Functional Imaging Microscope, a compact, fully integrated two-photon platform designed to simplify access to in vivo functional imaging. Developed in collaboration with researchers from Baylor College of Medicine and Columbia University, Prelude combines fiber-delivered femtosecond excitation, alignment-free operation, sensitive silicon photomultiplier detection, and flexible sample access in a maneuverable platform optimized for GFP and GCaMP imaging. In this workshop, excitation is provided by a TOPTICA Photonics FemtoFiber Ultra 920 nm laser, illustrating the role of close technology partnerships in delivering robust imaging solutions.<\/p><p>Beyond the microscope platform itself, the workshop will show how lessons learned from turnkey systems help identify missing capabilities and inspire enabling technologies, including life-science-optimized objectives, silicon photomultiplier detector modules, remote focusing options, modular microscope architectures, and compact imaging tools such as mini2P.<\/p><\/div>\n  <\/div>\n<\/div><div class=\"ws-item\">\n  <button class=\"ws-trigger\" aria-expanded=\"false\" aria-controls=\"ws-panel-S4-15\" id=\"ws-btn-S4-15\">\n    <span class=\"company-tag\">Tomocube<\/span>\n    <span class=\"ws-title\">Holotomography for Every Lab: Label-Free 3D Live Imaging with the HT-X1 mini<\/span>\n    <span class=\"chevron\" aria-hidden=\"true\"><svg width=\"14\" height=\"14\" viewBox=\"0 0 16 16\" fill=\"none\"><path d=\"M4 6l4 4 4-4\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/span>\n  <\/button>\n  <div class=\"ws-panel\" id=\"ws-panel-S4-15\" role=\"region\" aria-labelledby=\"ws-btn-S4-15\" hidden>\n    <div class=\"panel-meta\">\n      <span>&#x1f3a4; Bruno Combettes; Reza Pari-Nejad; Daniel Ghete<\/span>\n      <span>&#x1f4cd; TOMOCUBE Room<\/span>\n    <\/div>\n    <div class=\"panel-abstract\"><p>Holotomography (HT) is a powerful tool for label-free, quantitative 3D imaging of living cells. By reconstructing the three-dimensional refractive index (RI) distribution of biological specimens, HT reveals subcellular structures\u2014including nuclei, mitochondria, and lipid droplets\u2014without the need for exogenous labels or staining, preserving the native physiological state of cells throughout the experiment.<\/p><p>In this workshop, we introduce the HT-X1 mini, the latest addition to Tomocube\u2019s HT-X1 series. The HT-X1 mini brings full HT performance to an affordable, everyday-ready platform designed to lower the barrier to high-quality label-free imaging. As a table-top system, it fits seamlessly into culture rooms and space-limited environments, and operates via a laptop-based workflow with minimal setup requirements.<\/p><p>Despite its compact form factor, the HT-X1 mini delivers comparable performance to other HT-X1 series systems, supporting high-resolution 3D structural visualization and quantitative RI-based analysis through TomoAnalysis&#x2122; workflows. The system is expandable with optional modules\u2014including a stage-top incubator for long-term live-cell imaging, a fluorescence light engine for target-specific signals, additional HT wavelengths, and a laser-based autofocus sensor\u2014making it adaptable as research needs evolve.<\/p><p>This workshop will present representative applications enabled by the HT-X1 mini, including cell morphology observation, quantitative phenotyping, and routine live-cell culture monitoring. We will demonstrate how RI-based imaging provides immediate biological insight\u2014from single-cell morphodynamics to subcellular organelle tracking\u2014enabling rich structural insight from label-free RI data. Overall, we aim to show that HT is no longer a specialized capability reserved for a few labs, but an accessible, everyday imaging modality available to any cell biology researcher.<\/p><\/div>\n  <\/div>\n<\/div><div class=\"ws-item tellmi-item\">\n  <button class=\"ws-trigger\" aria-expanded=\"false\" aria-controls=\"ws-panel-S4-16\" id=\"ws-btn-S4-16\">\n    <span class=\"company-tag tellmi-tag\">TELLMI Workshop *<\/span>\n    <span class=\"ws-title\">Assessing the co-registration accuracy of a microscope<\/span>\n    <span class=\"chevron\" aria-hidden=\"true\"><svg width=\"14\" height=\"14\" viewBox=\"0 0 16 16\" fill=\"none\"><path d=\"M4 6l4 4 4-4\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/span>\n  <\/button>\n  <div class=\"ws-panel\" id=\"ws-panel-S4-16\" role=\"region\" aria-labelledby=\"ws-btn-S4-16\" hidden>\n    <div class=\"panel-meta\">\n      <span>&#x1f3a4; Hans Fried<\/span>\n      <span>&#x1f4cd; TELLMI A<\/span>\n    <\/div>\n    <div class=\"panel-abstract\"><p>Leaders of the workshop: Hans Fried1, Roland Nitschke2, Kees van der Oord3, Maria M. Azevedo4,5<\/p><p>1. CRFS \u2013 Light Microscope Facility, German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany<\/p><p>2. Life Imaging Center and Signalling Research Centre CIBSS, University of Freiburg, Germany<\/p><p>3. Nikon Europe BV, Amstelveen, Netherlands<\/p><p>4. Advanced Light Microscopy Scientific Platform, i3S \u2013 Instituto de Investiga\u00e7\u00e3o e Inova\u00e7\u00e3o em Sa\u00fade | Porto, Portugal<\/p><p>5. University of Porto<\/p><p>Accurate multi\u2011colour imaging requires that signals from the same physical location co\u2011localise across channels. Chromatic aberration is a major source of spatial error in multi\u2011colour fluorescence microscopy. Therefore, rigorous co\u2011registration is essential for reliable interpretation of spatial relationships in biological specimens.<\/p><p>In this workshop, we will briefly explain the key steps of preparing a bead sample for co-registration assessment, show the main considerations for image acquisition (1), and show you how to analyze the obtained images using Fiji\/ImageJ (2). We will also demonstrate how specific objective\u2011related factors can influence co\u2011registration performance. Finally, we will share practical hints and tips to support routine co\u2011registration analysis.<\/p><p>(1) Dauphin A., Azevedo, M., et al. Protocols.io, Ensuring accurate co-registration measurement for quality control of Single Point Confocal Laser Scanning Microscopes &#8211; V1, dx.doi.org\/10.17504\/protocols.io.q26g7yrj8gwz\/v1<\/p><p>(2) Faklaris, O. et al. Quality assessment in light microscopy for routine use through simple tools and robust metrics. J Cell Biol 221, doi:10.1083\/jcb.202107093 (2022).<\/p><\/div>\n  <\/div>\n<\/div><div class=\"ws-item tellmi-item\">\n  <button class=\"ws-trigger\" aria-expanded=\"false\" aria-controls=\"ws-panel-S4-17\" id=\"ws-btn-S4-17\">\n    <span class=\"company-tag tellmi-tag\">TELLMI Workshop *<\/span>\n    <span class=\"ws-title\">Thinking inside the box! A challenge for savvy light microscopists.<\/span>\n    <span class=\"chevron\" aria-hidden=\"true\"><svg width=\"14\" height=\"14\" viewBox=\"0 0 16 16\" fill=\"none\"><path d=\"M4 6l4 4 4-4\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/span>\n  <\/button>\n  <div class=\"ws-panel\" id=\"ws-panel-S4-17\" role=\"region\" aria-labelledby=\"ws-btn-S4-17\" hidden>\n    <div class=\"panel-meta\">\n      <span>&#x1f3a4; Gabriel Martins<\/span>\n      <span>&#x1f4cd; TELLMI B<\/span>\n    <\/div>\n    <div class=\"panel-abstract\"><p>In this community workshop we will show several microscopes and confocal scanheads disassembled and with parts labelled, for participants to study, follow light-paths, see how different components work and understand how complex imaging systems are assembled. This is done with the assistance of the &quot;light guides&quot; [workshop presenters!] who can provide cues and instructions. After studying the different materials presented, participants are invited to gather in teams of ~4 members, and enter the &quot;LMpics&quot; &#8211; a quiz-like challenge where teams have to quickly answer questions or solve problems about light-microscopy and try to gain prizes<\/p><\/div>\n  <\/div>\n<\/div><div class=\"ws-item tellmi-item\">\n  <button class=\"ws-trigger\" aria-expanded=\"false\" aria-controls=\"ws-panel-S4-18\" id=\"ws-btn-S4-18\">\n    <span class=\"company-tag tellmi-tag\">TELLMI Workshop *<\/span>\n    <span class=\"ws-title\">The Light Microscopy Metadata Model (LiMi-Model): Enabling the Generation and Sharing of Reproducible, Community-Harmonized FAIR Bioimage Data (QUAREP-LiMi WG7-Metadata)<\/span>\n    <span class=\"chevron\" aria-hidden=\"true\"><svg width=\"14\" height=\"14\" viewBox=\"0 0 16 16\" fill=\"none\"><path d=\"M4 6l4 4 4-4\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/span>\n  <\/button>\n  <div class=\"ws-panel\" id=\"ws-panel-S4-18\" role=\"region\" aria-labelledby=\"ws-btn-S4-18\" hidden>\n    <div class=\"panel-meta\">\n      <span>&#x1f3a4; Caterina Strambio De Castillia<\/span>\n      <span>&#x1f4cd; Auditorium<\/span>\n    <\/div>\n    <div class=\"panel-abstract\"><p>Presenter(s): Caterina Strambio-De-Castillia *1<\/p><p>*- the workshop will presented on behalf of QUAREP-LiMi WG7-Metadata.<\/p><p>1. Program in Molecular Medicine, UMass Chan Medical School<\/p><p>A major output of QUAREP-LiMi is the Light-Microscopy Metadata Model (LiMi-Model) [1, 2], developed by the QUAREP-LiMi Metadata Working Group (WG7) in collaboration with BioImaging North America, the 4D Nucleome consortium and OME. The LiMi-Model was designed to harmonize the description of light microscopy hardware, acquisition settings, and quality-control metrics in order to enhance image quality and reproducibility, and to fulfill the FAIR (Findable, Accessible, Interoperable, and Reusable) data principles.<\/p><p>Specifically, the LiMi-Model aims to: (1) promote the harmonized generation and pre-publication management of image datasets that are FAIR by design; (2) facilitate the deposition of FAIR microscopy datasets to public image data repositories; (3) facilitate data reuse and the extraction of quantitative information from image data using advanced bioimage analysis techniques, including AI\/ML; and (4) define the light microscopy implementation of the Image Acquisition module of the Recommended Metadata for Biological Images (REMBI) guidelines [3].<\/p><p>The workshop will open with a general introduction to the purpose and scope of the LiMi-Model, situating it within the broader landscape of community initiatives. These include the recently published minimal reporting recommendations for light microscopy [4], REMBI, the International Standards Organization, imaging modality ontologies (such as FBbi and EDAM-bioimaging), and an emerging vision for next-generation metadata schema definition languages. This will be followed by a presentation of the LiMi-Model website [1] and interactive LiMi-Model Viewer, a tool designed to help community members navigate and understand the content of the model. The workshop will conclude with an overview of the LiMi-Model&#8217;s governance structure and an explanation of how community members can engage with and contribute to its ongoing development. As a concrete example of this process, the workshop will introduce the recent Camera Module revision, conducted in partnership with camera manufacturers whose outcomes will also be presented in a related poster presented in collaboration with QUAREP-WG2.<\/p><p>The formal presentations will be followed by an open discussion in which attendees are encouraged to provide feedback and help shape the future direction of the LiMi-Model.<\/p><p>[1] https:\/\/quarep.org\/working-groups\/wg-7-metadata\/limi-model<\/p><p>[2] https:\/\/doi.org\/10.1038\/s41592-021-01327-9<\/p><p>[3] https:\/\/doi.org\/10.1038\/s41592-021-01166-8<\/p><p>[4] https:\/\/doi.org\/10.1083\/jcb.202601032<\/p><\/div>\n  <\/div>\n<\/div>\n    <\/div>\n  <\/div>\n<\/div><div class=\"session-block\" id=\"S5\">\n  <button class=\"session-trigger\" aria-expanded=\"false\" aria-controls=\"session-panel-S5\" id=\"session-btn-S5\">\n    <span class=\"session-info\">\n      <span class=\"session-title\">Day 2 Session 2<\/span>\n      <span class=\"session-sub\">&#x1f4c5; June 18 &nbsp;\u00b7&nbsp; &#x23f0; 13:45\u201314:45<\/span>\n    <\/span>\n    <span class=\"session-count\">19 workshops<\/span>\n    <span class=\"session-chevron\" aria-hidden=\"true\"><svg width=\"20\" height=\"20\" viewBox=\"0 0 16 16\" fill=\"none\"><path d=\"M4 6l4 4 4-4\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/span>\n  <\/button>\n  <div class=\"session-panel\" id=\"session-panel-S5\" role=\"region\" aria-labelledby=\"session-btn-S5\" hidden>\n    <div class=\"ws-accordion\">\n      <div class=\"ws-item\">\n  <button class=\"ws-trigger\" aria-expanded=\"false\" aria-controls=\"ws-panel-S5-0\" id=\"ws-btn-S5-0\">\n    <span class=\"company-tag\">Abbelight<\/span>\n    <span class=\"ws-title\">Multiplexed STORM Imaging with Abbelight SAFe System Featuring Spectral Demixing<\/span>\n    <span class=\"chevron\" aria-hidden=\"true\"><svg width=\"14\" height=\"14\" viewBox=\"0 0 16 16\" fill=\"none\"><path d=\"M4 6l4 4 4-4\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/span>\n  <\/button>\n  <div class=\"ws-panel\" id=\"ws-panel-S5-0\" role=\"region\" aria-labelledby=\"ws-btn-S5-0\" hidden>\n    <div class=\"panel-meta\">\n      <span>&#x1f3a4; Tom Borianne<\/span>\n      <span>&#x1f4cd; ABBELIGHT Room<\/span>\n    <\/div>\n    <div class=\"panel-abstract\"><p>Super-resolution microscopy has made possible the exploration of biological systems at the nanoscale. One historical technique, STORM, uses a redox buffer to intermittently switch the fluorophores into a dark state to illuminate only a subset of molecules at a time and allows Single-Molecule Localization Microscopy (SMLM). Each blinking event is fitted to localize the position of the emitter with a 10 \u2013 20 nm spatial resolution, enabling the visualization of cellular structures and molecular organization at the nanoscale. In the past, STORM was generally conducted on a single target because the use of different fluorophores introduced chromatic aberrations and complexity in the design of imaging buffer composition.<\/p><p>In this workshop, we demonstrate Abbelight multiplexed STORM imaging, enabled by the SAFe platform workflow, which features Spectral Demixing, an advanced multi-color detection design. By imaging far-red dyes with small differences in emission spectra, Spectral Demixing allows the simultaneous imaging of up to 3 targets with a single imaging buffer and produces aberration-free colocalization analysis. In Abbelight NEO LiveImagingTM software, users have access to real time demixing of the targets, allowing them to decide early on if a FOV is worth the full acquisition and saving precious time on the instrument. Abbelight NEO AnalysisTM software integrates a bias-free demixing algorithm, giving the option to the user to choose between high data recovery, optimal demixing and minimal crosstalk. The result: a streamlined and accelerated imaging strategy that reduces acquisition time, avoids chromatic abberrations and maintains the highest colocalization accuracy with minimal crosstalk.<\/p><\/div>\n  <\/div>\n<\/div><div class=\"ws-item tba-item\">\n  <button class=\"ws-trigger\" aria-expanded=\"false\" aria-controls=\"ws-panel-S5-1\" id=\"ws-btn-S5-1\">\n    <span class=\"company-tag\">Abberior Instruments<\/span>\n    <span class=\"ws-title\">Abberior Workshop \u2014 title TBA<span class=\"tba-badge\">Details TBA<\/span><\/span>\n    <span class=\"chevron\" aria-hidden=\"true\"><svg width=\"14\" height=\"14\" viewBox=\"0 0 16 16\" fill=\"none\"><path d=\"M4 6l4 4 4-4\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/span>\n  <\/button>\n  <div class=\"ws-panel\" id=\"ws-panel-S5-1\" role=\"region\" aria-labelledby=\"ws-btn-S5-1\" hidden>\n    <div class=\"panel-meta\">\n      <span>&#x1f3a4; TBA<\/span>\n      <span>&#x1f4cd; ABBERIOR Room<\/span>\n    <\/div>\n    <div class=\"panel-abstract\"><p>Details to be announced.<\/p><\/div>\n  <\/div>\n<\/div><div class=\"ws-item\">\n  <button class=\"ws-trigger\" aria-expanded=\"false\" aria-controls=\"ws-panel-S5-2\" id=\"ws-btn-S5-2\">\n    <span class=\"company-tag\">Bruker<\/span>\n    <span class=\"ws-title\">Integrated Workflow from 3D Sample Imaging by Light-Sheet Microscopy to Large Data Processing<\/span>\n    <span class=\"chevron\" aria-hidden=\"true\"><svg width=\"14\" height=\"14\" viewBox=\"0 0 16 16\" fill=\"none\"><path d=\"M4 6l4 4 4-4\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/span>\n  <\/button>\n  <div class=\"ws-panel\" id=\"ws-panel-S5-2\" role=\"region\" aria-labelledby=\"ws-btn-S5-2\" hidden>\n    <div class=\"panel-meta\">\n      <span>&#x1f3a4; Bj\u00f6rn Eismann; Balint Balazs<\/span>\n      <span>&#x1f4cd; BRUKER Room<\/span>\n    <\/div>\n    <div class=\"panel-abstract\"><p>Modern, high throughput 3D microscopy not only requires solutions for rapid image acquisition, but also for scalable, on-the-fly image data transfer, image processing and content analysis. This workshop presents an integrated imaging and computing workflow combining the Bruker Luxendo light-sheet microscope with the Acquifer HIVE data management, a multi-user, high performance computing platform.<\/p><p>Multi-camera, multi-view light sheet microscopes enable fast volumetric imaging of complex 3D biological samples such as spheroids, organoids, and developing organisms, delivering high optical efficiency and gentle illumination across multiple imaging dimensions. To match this acquisition speed, imaging data is directly streamed to Acquifer HIVE, where it is centrally stored, processed, and made immediately available for analysis and word-wide collaboration, all in an integrated workflow made available by smart Hardware and Software implementation. The workshop demonstrates how end to end optimization\u2014from image acquisition to compute accelerated processing\u2014removes data bottlenecks and enables efficient, reproducible 3D microscopy workflows for microscopists, imaging facilities and translational research.<\/p><\/div>\n  <\/div>\n<\/div><div class=\"ws-item\">\n  <button class=\"ws-trigger\" aria-expanded=\"false\" aria-controls=\"ws-panel-S5-3\" id=\"ws-btn-S5-3\">\n    <span class=\"company-tag\">Carl Zeiss MIcroscopy GmbH<\/span>\n    <span class=\"ws-title\">ZEISS Lattice SIM 5: Super-Resolution Across Scales \u2014 From Living Cells to Tissues and 3D Models<\/span>\n    <span class=\"chevron\" aria-hidden=\"true\"><svg width=\"14\" height=\"14\" viewBox=\"0 0 16 16\" fill=\"none\"><path d=\"M4 6l4 4 4-4\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/span>\n  <\/button>\n  <div class=\"ws-panel\" id=\"ws-panel-S5-3\" role=\"region\" aria-labelledby=\"ws-btn-S5-3\" hidden>\n    <div class=\"panel-meta\">\n      <span>&#x1f3a4; Cicerone Tudor<\/span>\n      <span>&#x1f4cd; ZEISS Room<\/span>\n    <\/div>\n    <div class=\"panel-abstract\"><p>For decades, the pursuit of sub-diffraction resolution has forced researchers into uncomfortable trade-offs: resolution gained at the cost of phototoxicity, imaging speed sacrificed for optical sectioning quality, or biological relevance compromised by sample preparation demands. ZEISS Lattice SIM 5 was designed from the ground up to resolve these conflicts.<\/p><p>At the core of the system lies a fundamentally different approach to structured illumination. Rather than projecting conventional grid patterns across a single plane, Lattice SIM generates an optimized three-dimensional lattice of light spots that structures illumination throughout the full depth of the sample. This produces sharper interference patterns, dramatically higher contrast, and half the light dose of classic SIM for the same information content. The SIM\u00b2 image reconstruction algorithm then transforms the acquired data into strikingly crisp, super-resolved images \u2014 in both fixed and living specimens.<\/p><p>In this hands-on workshop session, participants will explore the full versatility of the platform \u2014 from resolving subcellular architecture at high resolution to imaging dynamics in living cells and optically sectioning thick 3D models. We will also discuss how to match imaging mode to biological question, and demonstrate how the ZEN software environment integrates acquisition, reconstruction analysis into a single streamlined workflow.<\/p><\/div>\n  <\/div>\n<\/div><div class=\"ws-item\">\n  <button class=\"ws-trigger\" aria-expanded=\"false\" aria-controls=\"ws-panel-S5-4\" id=\"ws-btn-S5-4\">\n    <span class=\"company-tag\">CrestOptics<\/span>\n    <span class=\"ws-title\">Empowering live cell BIOmechanical imaging with correlative Brillouin technology<\/span>\n    <span class=\"chevron\" aria-hidden=\"true\"><svg width=\"14\" height=\"14\" viewBox=\"0 0 16 16\" fill=\"none\"><path d=\"M4 6l4 4 4-4\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/span>\n  <\/button>\n  <div class=\"ws-panel\" id=\"ws-panel-S5-4\" role=\"region\" aria-labelledby=\"ws-btn-S5-4\" hidden>\n    <div class=\"panel-meta\">\n      <span>&#x1f3a4; Gregory Perry<\/span>\n      <span>&#x1f4cd; CRESTOPTICS Room<\/span>\n    <\/div>\n    <div class=\"panel-abstract\"><p>Mechanobiology is an emerging field in life science, and the role of mechanical cues has gained relevance in the understanding of the physical state and function of biological systems. However, current gold standard techniques to measure biomechanical properties are invasive, mainly contact-based and limited to surface probing, they lack 3D sub-cellular resolution capabilities or they are not always suitable for multicellular environments.<\/p><p>Confocal Brillouin microscopy has recently emerged as an all-optical, contact- and label-free technique for in vivo 3D subcellular mapping of elasticity and viscosity distribution within cells and tissues, even in settings where physical contact is not possible, providing sufficient sensitivity to detect and monitor relevant biomechanical changes. In this talk, we will walk you through the technological challenges and advancements of the technique, showing representative examples of real biological experiments that highlight the potential of this technique, especially when integrated in an advanced spinning disk correlative confocal imaging platform<\/p><\/div>\n  <\/div>\n<\/div><div class=\"ws-item\">\n  <button class=\"ws-trigger\" aria-expanded=\"false\" aria-controls=\"ws-panel-S5-5\" id=\"ws-btn-S5-5\">\n    <span class=\"company-tag\">CSR Europe GmbH<\/span>\n    <span class=\"ws-title\">Multimodal Super-Resolution Microscopy: Seamless Integration of SIM, Spinning Disk, and Label-Free Modalities with Complete Control<\/span>\n    <span class=\"chevron\" aria-hidden=\"true\"><svg width=\"14\" height=\"14\" viewBox=\"0 0 16 16\" fill=\"none\"><path d=\"M4 6l4 4 4-4\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/span>\n  <\/button>\n  <div class=\"ws-panel\" id=\"ws-panel-S5-5\" role=\"region\" aria-labelledby=\"ws-btn-S5-5\" hidden>\n    <div class=\"panel-meta\">\n      <span>&#x1f3a4; Ipek Altinoglu; Shutang Zeng<\/span>\n      <span>&#x1f4cd; CSR BIOTECH Room<\/span>\n    <\/div>\n    <div class=\"panel-abstract\"><p>Modern microscopy is no longer defined by a single technique. Each modality brings unique strengths and limitations, and it is the combination of these approaches that unlocks the full potential of biological imaging. To truly maximize information from complex samples, multi-modal integration has become essential especially in super-resolution imaging. However, current workflows are often limited by fragmented software, inefficient modality switching, and challenging cross-modality data integration.<\/p><p>CSR Biotech\u2019s multi-modal super-resolution solutions overcome these challenges, enabling seamless integration of Structured Illumination Microscopy (SIM), Spinning Disk and label-free Optical Diffraction Tomography (ODT) imaging modalities. In this workshop, we will focus on dual-modality acquisitions with hands-on SIM and ODT, unified and automated workflow tools, intelligent image registration, and event-based triggering for smart microscopy to simplify complex experiments in multi-modal imaging.<\/p><p>Finally, we will introduce the FINER multi-modal image processing suite, which includes tools for resolution enhancement such as SIM and SACD, AI-assisted denoising and segmentation.<\/p><\/div>\n  <\/div>\n<\/div><div class=\"ws-item\">\n  <button class=\"ws-trigger\" aria-expanded=\"false\" aria-controls=\"ws-panel-S5-6\" id=\"ws-btn-S5-6\">\n    <span class=\"company-tag\">Evident<\/span>\n    <span class=\"ws-title\">Compact Multiphoton Imaging Platform with Fiber-Pigtailed MPE Lasers and SilVIR Non-Descanned Detection &#8211; EVIDENT FLUOVIEW FV5000MPE<\/span>\n    <span class=\"chevron\" aria-hidden=\"true\"><svg width=\"14\" height=\"14\" viewBox=\"0 0 16 16\" fill=\"none\"><path d=\"M4 6l4 4 4-4\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/span>\n  <\/button>\n  <div class=\"ws-panel\" id=\"ws-panel-S5-6\" role=\"region\" aria-labelledby=\"ws-btn-S5-6\" hidden>\n    <div class=\"panel-meta\">\n      <span>&#x1f3a4; Robert Kasper<\/span>\n      <span>&#x1f4cd; EVIDENT Room<\/span>\n    <\/div>\n    <div class=\"panel-abstract\"><p>This EVIDENT workshop introduces the FLUOVIEW FV5000MPE platform on the IX85 inverted microscope, focusing on compact and convenient multiphoton integration for deep tissue imaging applications. We will present to you the easy integration of pig tailed fibre lasers on top of a confocal imaging platform to achieve a multiphoton ready combo system. The session highlights how this design reduces system complexity and footprint while maintaining high-performance imaging capabilities. Attendees will understand how fiber-based laser delivery supports more robust alignment, easier maintenance, and improved day-to-day usability, making multiphoton imaging more accessible in shared environments.<\/p><p>A dedicated part of the workshop covers SilVIR non-descanned detectors (NDD), designed for high-sensitivity photon detection in scattering specimens. Optimized detection geometry combined with photon-counting capabilities improves signal collection efficiency at depth while maintaining stable and quantitative imaging conditions.<\/p><p>Together, these elements position the FV5000MPE as a solution that brings multiphoton imaging closer to routine use, balancing deep imaging performance with operational simplicity and system stability within the EVIDENT platform.<\/p><\/div>\n  <\/div>\n<\/div><div class=\"ws-item\">\n  <button class=\"ws-trigger\" aria-expanded=\"false\" aria-controls=\"ws-panel-S5-7\" id=\"ws-btn-S5-7\">\n    <span class=\"company-tag\">Intelligent Imaging Innovations GmbH<\/span>\n    <span class=\"ws-title\">PlantScope: Live Root Tip Tracking for Dynamic Plant Imaging<\/span>\n    <span class=\"chevron\" aria-hidden=\"true\"><svg width=\"14\" height=\"14\" viewBox=\"0 0 16 16\" fill=\"none\"><path d=\"M4 6l4 4 4-4\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/span>\n  <\/button>\n  <div class=\"ws-panel\" id=\"ws-panel-S5-7\" role=\"region\" aria-labelledby=\"ws-btn-S5-7\" hidden>\n    <div class=\"panel-meta\">\n      <span>&#x1f3a4; Daniel von Wangenheim; Nicole Zobiack; Ben Atkinson<\/span>\n      <span>&#x1f4cd; 3i Room<\/span>\n    <\/div>\n    <div class=\"panel-abstract\"><p>PlantScope is a turnkey live-cell imaging platform designed for long-term observation of growing plant roots with automated tracking. The system enables researchers to follow root tip dynamics over hours to days while maintaining plants in a physiologically relevant upright growth orientation using a unique vertical stage design.<\/p><p>A key capability of PlantScope is automated live root tip tracking. As roots grow and change direction, the system continuously follows the advancing tip and acquires high-resolution image montages that capture the entire developmental cycle, including the meristematic, elongation, and differentiation zones at every time point. This enables comprehensive visualization of root growth dynamics, cell division patterns, tropic responses, and developmental trajectories across extended time-lapse experiments.<\/p><p>At the core of PlantScope, SlideBook and the Yokogawa CSU-W1 spinning disk confocal enable robust capture of dynamic biological processes in realtime. The CSU-W1 delivers rapid acquisition speeds, high sensitivity and multi-color sub-cellular imaging optimized for live samples. SlideBook software seamlessly coordinates all hardware &#8211; including microscope, camera, stage, spinning disk, laser launch, NIR lamp &#8211; in combination with automated tracking and adaptive imaging workflows in a familiar, easy-to-use interface.<\/p><p>In this workshop, we will demonstrate the PlantScope Marianas multimodal microscopy system with root tip tracking capabilities, showcasing automated long-term imaging workflows and high-resolution visualization of dynamic root development.<\/p><\/div>\n  <\/div>\n<\/div><div class=\"ws-item\">\n  <button class=\"ws-trigger\" aria-expanded=\"false\" aria-controls=\"ws-panel-S5-8\" id=\"ws-btn-S5-8\">\n    <span class=\"company-tag\">Leica<\/span>\n    <span class=\"ws-title\">Viventis Deep: Flexible light sheet microscopy platform for in depth imaging of live and cleared samples<\/span>\n    <span class=\"chevron\" aria-hidden=\"true\"><svg width=\"14\" height=\"14\" viewBox=\"0 0 16 16\" fill=\"none\"><path d=\"M4 6l4 4 4-4\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/span>\n  <\/button>\n  <div class=\"ws-panel\" id=\"ws-panel-S5-8\" role=\"region\" aria-labelledby=\"ws-btn-S5-8\" hidden>\n    <div class=\"panel-meta\">\n      <span>&#x1f3a4; Davide Gambarotto<\/span>\n      <span>&#x1f4cd; LEICA Room<\/span>\n    <\/div>\n    <div class=\"panel-abstract\"><p>D. Gambarotto\u00b9, A. Fulterer\u00b9, D. Migliozzi\u00b9, G. de Medeiros\u00b2, Q. Juppet\u00b9, M. Benton\u00b3, A. Boni\u00b9, P. Liberali\u00b2, S. Schicktanz\u00b9, J. Reddington\u00b9, P. Strnad\u00b9.<\/p><p>1. Leica Microsystems, Lausanne, Switzerland; 2. Friedrich Miescher Institute for Biomedical Research, Basel, Switzerland; 3. EMBL, Heidelberg, Germany.<\/p><p>Light sheet fluorescence microscopy is a key technology for both long-term live imaging and the visualization of large, optically cleared samples\u00b9. However, most systems are optimized for either live or cleared imaging, making transitions between the two complex and inefficient.<\/p><p>Leica Viventis Deep overcomes this limitation by enabling seamless exchange between live and cleared imaging within a single platform. Its open-top configuration with dual illumination and dual-view detection supports gentle, high-speed live imaging\u00b2, while an easily exchangeable objective block allows easy adaptation to cleared sample imaging with multi-immersion optics supporting samples with RI ranging from 1.33 up to 1.56.<\/p><p>This flexibility eliminates the traditional trade-off between live and cleared imaging, enabling users to switch workflows quickly without compromising performance or deviating from standard sample preparation.<\/p><p>In this workshop, we will demonstrate the simplicity and efficiency of the Viventis Deep workflow\u2014from sample mounting to acquisition and 3D visualization\u2014across a broad range of applications.<\/p><p>References<\/p><p>1. Huisken, J. et al. Optical sectioning deep inside live embryos by selective plane illumination microscopy. Science 305, 1007\u20131009 (2004).<\/p><p>2. Moos, F. et al. Open-top multisample dual-view light-sheet microscope for live imaging of large multicellular systems. Nat. Methods 21, 798\u2013803 (2024).<\/p><\/div>\n  <\/div>\n<\/div><div class=\"ws-item\">\n  <button class=\"ws-trigger\" aria-expanded=\"false\" aria-controls=\"ws-panel-S5-9\" id=\"ws-btn-S5-9\">\n    <span class=\"company-tag\">Miltenyi Biotec B.V. &amp; Co. KG<\/span>\n    <span class=\"ws-title\">Light Sheet Microscopy at LightSpeed: Transforming 3D Imaging with UltraMicroscope Blaze&#x2122;<\/span>\n    <span class=\"chevron\" aria-hidden=\"true\"><svg width=\"14\" height=\"14\" viewBox=\"0 0 16 16\" fill=\"none\"><path d=\"M4 6l4 4 4-4\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/span>\n  <\/button>\n  <div class=\"ws-panel\" id=\"ws-panel-S5-9\" role=\"region\" aria-labelledby=\"ws-btn-S5-9\" hidden>\n    <div class=\"panel-meta\">\n      <span>&#x1f3a4; Guruchandar Arulmozhivarman;Afshin Khalili ; Luis Muniz<\/span>\n      <span>&#x1f4cd; MILTENYI Room<\/span>\n    <\/div>\n    <div class=\"panel-abstract\"><p>Visualizing the three-dimensional architecture of complex biological specimens has traditionally required labor-intensive workflows and imaging times ranging from hours to days. To overcome these limitations, Miltenyi Biotec offers an integrated 3D imaging ecosystem that streamlines sample processing, acquisition, visualization, and analysis. In this workshop, we will present live demonstrations of the UltraMicroscope Blaze&#x2122; and its latest innovations for high-speed, scalable light sheet imaging. Attendees will experience the new LightSpeed mode, enabling up to 60-fold faster image acquisition for large-volume specimens, alongside the MACS iQ View \u2013 3D Large Volume package for efficient visualization and handling of large multidimensional datasets with OCTAGON PRIME. We will further highlight an integrated 3D\/2D workflow combining volumetric imaging with high-plex spatial analysis, providing a comprehensive solution for accelerated, data-rich biological discovery.<\/p><\/div>\n  <\/div>\n<\/div><div class=\"ws-item\">\n  <button class=\"ws-trigger\" aria-expanded=\"false\" aria-controls=\"ws-panel-S5-10\" id=\"ws-btn-S5-10\">\n    <span class=\"company-tag\">Nikon Europe BV<\/span>\n    <span class=\"ws-title\">Visual Programming Meets Python: Building Powerful 3D AI Analysis Workflows in NIS Elements for beginners and experts<\/span>\n    <span class=\"chevron\" aria-hidden=\"true\"><svg width=\"14\" height=\"14\" viewBox=\"0 0 16 16\" fill=\"none\"><path d=\"M4 6l4 4 4-4\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/span>\n  <\/button>\n  <div class=\"ws-panel\" id=\"ws-panel-S5-10\" role=\"region\" aria-labelledby=\"ws-btn-S5-10\" hidden>\n    <div class=\"panel-meta\">\n      <span>&#x1f3a4; Nelda Antonovaite<\/span>\n      <span>&#x1f4cd; NIKON Room<\/span>\n    <\/div>\n    <div class=\"panel-abstract\"><p>3D microscopy has advanced rapidly with spheroid and organoid models, which closely replicate native tissue. While acquiring quality 3D images is challenging, developing robust and reproducible analysis workflows can be even more difficult, often requiring Python expertise and limiting accessibility. NIS Elements addresses this with an intuitive, visual programming interface, allowing users to drag and drop functions for 2D\/3D processing, measurement, plotting, and data management\u2014eliminating the need for scripting while maintaining flexibility.<\/p><p>For specialized analyses, users can incorporate open\u2011source algorithms via integrated Python scripting and LLM prompts, enabling easy access to tools like Cellpose3, Cellpose SAM, Stardist, and others. If these pretrained models lack desired performance, NIS Elements supports custom 3D deep learning training for segmentation, signal enhancement, and channel prediction, using user data for higher accuracy and speed. To handle computational demands from large datasets, Cluster Computing software distributes tasks across idle lab computers.<\/p><p>In this workshop, we will show how to:<\/p><p>\u2022 Use visual programming for 3D image analysis workflows<\/p><p>\u2022 Make use of pretrained open-source segmentation models inside NIS-Elements<\/p><p>\u2022 Create 3D binaries with the help of detect.ai and train custom 3D segmentation model<\/p><p>\u2022 Use LLM to make a Python script to be used inside NIS-Elements<\/p><p>\u2022 Run Batch Analysis using Cluster Computing on Octagon PRIME \u2013 high performance processing unit from Octagon Data GmbH<\/p><p>Finally, you can use your 3D analysis pipeline as part of acquisition to enable feedback driven microscopy workflows, removing the need for users to remain physically present at the microscope.<\/p><\/div>\n  <\/div>\n<\/div><div class=\"ws-item\">\n  <button class=\"ws-trigger\" aria-expanded=\"false\" aria-controls=\"ws-panel-S5-11\" id=\"ws-btn-S5-11\">\n    <span class=\"company-tag\">Oxford Instruments<\/span>\n    <span class=\"ws-title\">Enabling Live cell imaging in BSL environments<\/span>\n    <span class=\"chevron\" aria-hidden=\"true\"><svg width=\"14\" height=\"14\" viewBox=\"0 0 16 16\" fill=\"none\"><path d=\"M4 6l4 4 4-4\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/span>\n  <\/button>\n  <div class=\"ws-panel\" id=\"ws-panel-S5-11\" role=\"region\" aria-labelledby=\"ws-btn-S5-11\" hidden>\n    <div class=\"panel-meta\">\n      <span>&#x1f3a4; David Pointu<\/span>\n      <span>&#x1f4cd; OXFORD INSTRUMENTS Room<\/span>\n    <\/div>\n    <div class=\"panel-abstract\"><p>The BC43 Benchtop Spinning Disk Confocal System, developed by Oxford Instruments, is designed to address the critical challenges of high-containment Biosafety BSL-2+\/3\/4 laboratories. This compact, high-performance system is validated for extreme fumigation protocols, ensuring safe decontamination and uninterrupted operation without voiding warranty. Its lightweight, light-tight benchtop design eliminates the need for dedicated darkrooms or additional infrastructure, making it ideal for restricted laboratory spaces.<\/p><p>Key Innovations<\/p><p>A key innovation of the BC43 is its comprehensive service support package, specifically tailored for BSL-2+\/3\/4 environments where external service visits are often impractical due to containment constraints. The system includes a dedicated BSL service solution that provides:<\/p><p>\u2022 Spare parts to enable rapid on-site repairs, minimizing downtime<\/p><p>\u2022 Remote support tools to troubleshoot issues in real-time, reducing the need for physical intervention and ensuring compliance with containment protocols.<\/p><p>\u2022 Certified training programs for customers, empowering facility staff to perform routine maintenance and servicing under PPE constraints.<\/p><p>\u2022 By integrating performance, containment adaptability, and proactive service support, the BC43 delivers a fully autonomous imaging solution for high-containment research, eliminating service gaps and maintaining workflow integrity.<\/p><p>A key innovation of the BC43 is its support for defined fumigation workflows, enabling routine full system decontamination while maintaining system integrity.<\/p><p>The Fusion software, equipped with guided protocols, facilitates fast and reliable data acquisition even under PPE constraints.<\/p><p>By combining performance, containment adaptability, and ease of use, the BC43 provides a robust solution for advanced bio-imaging in high-containment research facilities.<\/p><\/div>\n  <\/div>\n<\/div><div class=\"ws-item\">\n  <button class=\"ws-trigger\" aria-expanded=\"false\" aria-controls=\"ws-panel-S5-12\" id=\"ws-btn-S5-12\">\n    <span class=\"company-tag\">Oxford Nanoimaging Ltd<\/span>\n    <span class=\"ws-title\">Everything Nanoparticles (EVs and LNPs)<\/span>\n    <span class=\"chevron\" aria-hidden=\"true\"><svg width=\"14\" height=\"14\" viewBox=\"0 0 16 16\" fill=\"none\"><path d=\"M4 6l4 4 4-4\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/span>\n  <\/button>\n  <div class=\"ws-panel\" id=\"ws-panel-S5-12\" role=\"region\" aria-labelledby=\"ws-btn-S5-12\" hidden>\n    <div class=\"panel-meta\">\n      <span>&#x1f3a4; Claudia Zagami<\/span>\n      <span>&#x1f4cd; ONI Room<\/span>\n    <\/div>\n    <div class=\"panel-abstract\"><p>Harness the power of ONI\u2019s super-resolution expertise to characterise your nanoparticles with ease.<\/p><p>Extracellular vehicles (EVs) play key roles in cell-to-cell communication, crossing biological barriers, and specifically getting internalised, making them ideal candidates for drug delivery methods and disease diagnostics. Similarly, lipid nanoparticles (LNPs) are advanced delivery systems that encapsulate therapeutic agents and mRNA to protect them from degradation and facilitate their entry into target cells.<\/p><p>Critical nanoparticle characterisation metrics to verify both EV and LNP sample heterogeneity and functionality include particle size, biomarker positivity, cargo loading, and ligand engineering (in the case of LNPs).<\/p><p>This workshop showcases how ONI\u2019s SMLM-based workflows can uniquely address current gaps in nanoparticle characterisation, from the population level down to the single-particle level using sample preparation kits, automated imaging, and data analysis tools.<\/p><p>This session is intended for researchers working with EVs, exosomes, lipid nanoparticles, or related fields. During this session, we will demonstrate that the ONI Nanoimager can acquire, image, and analyse datasets in a fully automated way!<\/p><\/div>\n  <\/div>\n<\/div><div class=\"ws-item\">\n  <button class=\"ws-trigger\" aria-expanded=\"false\" aria-controls=\"ws-panel-S5-13\" id=\"ws-btn-S5-13\">\n    <span class=\"company-tag\">PicoQuant<\/span>\n    <span class=\"ws-title\">Push the limits of confocal FLIM for more contrast and more resolution with ISM-FLIM<\/span>\n    <span class=\"chevron\" aria-hidden=\"true\"><svg width=\"14\" height=\"14\" viewBox=\"0 0 16 16\" fill=\"none\"><path d=\"M4 6l4 4 4-4\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/span>\n  <\/button>\n  <div class=\"ws-panel\" id=\"ws-panel-S5-13\" role=\"region\" aria-labelledby=\"ws-btn-S5-13\" hidden>\n    <div class=\"panel-meta\">\n      <span>&#x1f3a4; Isabel Gross;Fabian Jolmes;Fabio Barachati;Johan Hummert<\/span>\n      <span>&#x1f4cd; PICOQUANT Room<\/span>\n    <\/div>\n    <div class=\"panel-abstract\"><p>Recently, high-performance SPAD-arrays featuring few tens of pixels have become available. Combining these with suitable multi-channel TCSPC-devices enables time-resolved Image Scanning Microscopy (ISM). ISM enhances the spatial resolution and increases image contrast compared to standard confocal imaging. FLIM can provide additional functional information as well as extended marker multiplexing using lifetime contrast. So both technologies complement each other.<\/p><p>In this workshop we will show how the PDA23 SPAD Array is implemented in Luminosa. The newly released software NovaISM enables the analysis of ISM-FLIM images acquired with the PDA-23 Add-On of the Luminosa microscope. Image scanning microscopy (ISM) with a SPAD array detector achieves resolution enhancements of about 1.5 to 1.7 times in comparison to standard confocal images, in combination with deconvolution. Even for 2d-recordings\/data the contrast of the ISM-FLIM images is enhanced significantly by rejecting the out-of focus light. Such rejection enhances not only the signal-to-noise-ratio, but also the lifetime contrast of the FLIM images. These benefits enable either faster image acquisition or gentler imaging of live samples.<\/p><\/div>\n  <\/div>\n<\/div><div class=\"ws-item\">\n  <button class=\"ws-trigger\" aria-expanded=\"false\" aria-controls=\"ws-panel-S5-14\" id=\"ws-btn-S5-14\">\n    <span class=\"company-tag\">Thorlabs GmbH<\/span>\n    <span class=\"ws-title\">From Components to Complete Multiphoton Microscopes: Customer-Inspired Imaging Solutions<\/span>\n    <span class=\"chevron\" aria-hidden=\"true\"><svg width=\"14\" height=\"14\" viewBox=\"0 0 16 16\" fill=\"none\"><path d=\"M4 6l4 4 4-4\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/span>\n  <\/button>\n  <div class=\"ws-panel\" id=\"ws-panel-S5-14\" role=\"region\" aria-labelledby=\"ws-btn-S5-14\" hidden>\n    <div class=\"panel-meta\">\n      <span>&#x1f3a4; Sergey Matveev<\/span>\n      <span>&#x1f4cd; PHASEVIEW \/ THORLABS ROOM<\/span>\n    <\/div>\n    <div class=\"panel-abstract\"><p>Multiphoton microscopy has become an essential tool for studying neuronal activity, circuit dynamics, and complex biological processes in living specimens. However, advanced imaging experiments have traditionally depended on highly customized systems, specialist alignment knowledge, and careful integration of many optical, mechanical, electronic, and laser components.<\/p><p>This workshop presents Thorlabs\u2019 evolving component-to-system approach to multiphoton microscopy, developed through a large portfolio of photonics, optomechanics, objectives, detectors, motion control, and imaging technologies. We will discuss how Thorlabs\u2019 long-standing component expertise has expanded into customer-inspired turnkey and modular microscopy platforms, and how this system-level experience now feeds back into the development of broadly useful microscopy components for the wider life-science community.<\/p><p>As an example of this approach, we will highlight the Prelude\u00ae Functional Imaging Microscope, a compact, fully integrated two-photon platform designed to simplify access to in vivo functional imaging. Developed in collaboration with researchers from Baylor College of Medicine and Columbia University, Prelude combines fiber-delivered femtosecond excitation, alignment-free operation, sensitive silicon photomultiplier detection, and flexible sample access in a maneuverable platform optimized for GFP and GCaMP imaging. In this workshop, excitation is provided by a TOPTICA Photonics FemtoFiber Ultra 920 nm laser, illustrating the role of close technology partnerships in delivering robust imaging solutions.<\/p><p>Beyond the microscope platform itself, the workshop will show how lessons learned from turnkey systems help identify missing capabilities and inspire enabling technologies, including life-science-optimized objectives, silicon photomultiplier detector modules, remote focusing options, modular microscope architectures, and compact imaging tools such as mini2P.<\/p><\/div>\n  <\/div>\n<\/div><div class=\"ws-item\">\n  <button class=\"ws-trigger\" aria-expanded=\"false\" aria-controls=\"ws-panel-S5-15\" id=\"ws-btn-S5-15\">\n    <span class=\"company-tag\">Tomocube<\/span>\n    <span class=\"ws-title\">Holotomography for Every Lab: Label-Free 3D Live Imaging with the HT-X1 mini<\/span>\n    <span class=\"chevron\" aria-hidden=\"true\"><svg width=\"14\" height=\"14\" viewBox=\"0 0 16 16\" fill=\"none\"><path d=\"M4 6l4 4 4-4\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/span>\n  <\/button>\n  <div class=\"ws-panel\" id=\"ws-panel-S5-15\" role=\"region\" aria-labelledby=\"ws-btn-S5-15\" hidden>\n    <div class=\"panel-meta\">\n      <span>&#x1f3a4; Bruno Combettes; Reza Pari-Nejad; Daniel Ghete<\/span>\n      <span>&#x1f4cd; TOMOCUBE Room<\/span>\n    <\/div>\n    <div class=\"panel-abstract\"><p>Holotomography (HT) is a powerful tool for label-free, quantitative 3D imaging of living cells. By reconstructing the three-dimensional refractive index (RI) distribution of biological specimens, HT reveals subcellular structures\u2014including nuclei, mitochondria, and lipid droplets\u2014without the need for exogenous labels or staining, preserving the native physiological state of cells throughout the experiment.<\/p><p>In this workshop, we introduce the HT-X1 mini, the latest addition to Tomocube\u2019s HT-X1 series. The HT-X1 mini brings full HT performance to an affordable, everyday-ready platform designed to lower the barrier to high-quality label-free imaging. As a table-top system, it fits seamlessly into culture rooms and space-limited environments, and operates via a laptop-based workflow with minimal setup requirements.<\/p><p>Despite its compact form factor, the HT-X1 mini delivers comparable performance to other HT-X1 series systems, supporting high-resolution 3D structural visualization and quantitative RI-based analysis through TomoAnalysis&#x2122; workflows. The system is expandable with optional modules\u2014including a stage-top incubator for long-term live-cell imaging, a fluorescence light engine for target-specific signals, additional HT wavelengths, and a laser-based autofocus sensor\u2014making it adaptable as research needs evolve.<\/p><p>This workshop will present representative applications enabled by the HT-X1 mini, including cell morphology observation, quantitative phenotyping, and routine live-cell culture monitoring. We will demonstrate how RI-based imaging provides immediate biological insight\u2014from single-cell morphodynamics to subcellular organelle tracking\u2014enabling rich structural insight from label-free RI data. Overall, we aim to show that HT is no longer a specialized capability reserved for a few labs, but an accessible, everyday imaging modality available to any cell biology researcher.<\/p><\/div>\n  <\/div>\n<\/div><div class=\"ws-item tellmi-item\">\n  <button class=\"ws-trigger\" aria-expanded=\"false\" aria-controls=\"ws-panel-S5-16\" id=\"ws-btn-S5-16\">\n    <span class=\"company-tag tellmi-tag\">TELLMI Workshop *<\/span>\n    <span class=\"ws-title\">Beyond Metrics: Evaluating, Communicating, and Strengthening the Impact of Imaging Core Facilities<\/span>\n    <span class=\"chevron\" aria-hidden=\"true\"><svg width=\"14\" height=\"14\" viewBox=\"0 0 16 16\" fill=\"none\"><path d=\"M4 6l4 4 4-4\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/span>\n  <\/button>\n  <div class=\"ws-panel\" id=\"ws-panel-S5-16\" role=\"region\" aria-labelledby=\"ws-btn-S5-16\" hidden>\n    <div class=\"panel-meta\">\n      <span>&#x1f3a4; Davide Accardi; Daniela Aviles<\/span>\n      <span>&#x1f4cd; TELLMI A<\/span>\n    <\/div>\n    <div class=\"panel-abstract\"><p>Daniela Aviles-Huerta, Euro-BioImaging, EMBL Heidelberg | Davide Accardi, Champalimaud ABBE Platform, Lisbon, Portugal | Mariana Carvalho, International Iberian Nanotechnology Laboratory, Brage, Portugal<\/p><p>Imaging core facilities are increasingly recognized not only as service providers, but as essential scientific partners and strategic drivers of research excellence, innovation, and institutional development. Yet their full contribution often remains difficult to evaluate and communicate using traditional metrics alone. This interactive ELMI workshop will explore a comprehensive and community-driven approach to defining, assessing, and articulating the multidimensional impact of imaging facilities.<\/p><p>Combining concise round-table discussions and practical exercises, the session will integrate quantitative Key Performance Indicators (KPIs) with broader Socio-Economic Indicators (SEIs) to capture both operational performance and wider scientific, institutional, and societal value. Building on international best practices and ongoing community initiatives, participants will collectively examine how facilities contribute through scientific support, training, collaboration, technology development, data stewardship, institutional strategy, sustainability models, and engagement with national and international research ecosystems.<\/p><p>A central component of the workshop will be the introduction and refinement of a practical evaluation flowchart designed to support internal facility assessment and decision-making. Participants will reflect on mechanisms for continuous internal evaluation, alignment with institutional priorities, stakeholder engagement, and strengthening trust and recognition within their organizations. Through guided exercises, attendees will assess their own facilities\u2019 impact frameworks, identify gaps and opportunities, and discuss strategies for communicating value to funders, leadership, users, and collaborators.<\/p><p>By fostering exchange across the imaging community, the workshop aims to promote a shared culture of evidence-based impact assessment and advocacy, supporting a broader paradigm shift: from measuring facilities solely by outputs to recognizing them as dynamic infrastructures that actively shape scientific progress, institutional success, and innovation ecosystems.<\/p><\/div>\n  <\/div>\n<\/div><div class=\"ws-item tellmi-item\">\n  <button class=\"ws-trigger\" aria-expanded=\"false\" aria-controls=\"ws-panel-S5-17\" id=\"ws-btn-S5-17\">\n    <span class=\"company-tag tellmi-tag\">TELLMI Workshop *<\/span>\n    <span class=\"ws-title\">Train-the-trainer workshop: How to better train microscopy users?<\/span>\n    <span class=\"chevron\" aria-hidden=\"true\"><svg width=\"14\" height=\"14\" viewBox=\"0 0 16 16\" fill=\"none\"><path d=\"M4 6l4 4 4-4\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/span>\n  <\/button>\n  <div class=\"ws-panel\" id=\"ws-panel-S5-17\" role=\"region\" aria-labelledby=\"ws-btn-S5-17\" hidden>\n    <div class=\"panel-meta\">\n      <span>&#x1f3a4; Sylvie Le Guyader<\/span>\n      <span>&#x1f4cd; TELLMI B<\/span>\n    <\/div>\n    <div class=\"panel-abstract\"><p>Do you experience that many users are unable to apply what you have taught them during their training? How can we improve the way we train users so that they really learn?<\/p><p>Pedagogy is the science of how we learn and how to design effective teaching. Pedagogical tools are simple to apply and have a great potential for improving the learning outcome of microscopy trainings.<\/p><p>During this workshop, we will guide you to improve the design of your own user training.<\/p><\/div>\n  <\/div>\n<\/div><div class=\"ws-item tellmi-item\">\n  <button class=\"ws-trigger\" aria-expanded=\"false\" aria-controls=\"ws-panel-S5-18\" id=\"ws-btn-S5-18\">\n    <span class=\"company-tag tellmi-tag\">TELLMI Workshop *<\/span>\n    <span class=\"ws-title\">Imaging workflows in OMERO<\/span>\n    <span class=\"chevron\" aria-hidden=\"true\"><svg width=\"14\" height=\"14\" viewBox=\"0 0 16 16\" fill=\"none\"><path d=\"M4 6l4 4 4-4\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/span>\n  <\/button>\n  <div class=\"ws-panel\" id=\"ws-panel-S5-18\" role=\"region\" aria-labelledby=\"ws-btn-S5-18\" hidden>\n    <div class=\"panel-meta\">\n      <span>&#x1f3a4; Petr Walczysko<\/span>\n      <span>&#x1f4cd; Auditorium<\/span>\n    <\/div>\n    <div class=\"panel-abstract\"><p>The Open Microscopy Environment (OME) is an open-source software project that develops tools that enable access, analysis, visualization, sharing and publication of biological image data. OME supports more than 160 image data formats across many imaging modalities including fluorescence microscopy, high-content screening, whole-slide imaging and biomedical imaging.<\/p><p>OMERO, a software developed by OME, is an open source, enterprise software platform for image data management and analysis. OMERO is used in 1000s of institutions worldwide managing, sharing, analysing and publishing imaging datasets.<\/p><p>This workshop will cover all of the main functions of OMERO. We will explain the import to OMERO and then demonstrate organisation, viewing, searching, annotation and publishing of images using OMERO. After we cover the basics of OMERO, we will shortly explain the principles of how 3rd party image analysis packages work with OMERO. This will enable the participants to understand the manual data processing and automated processing workflows using a range of open source applications running alongside OMERO, such as ImageJ\/Fiji or CellPose.<\/p><p>This workshop is designed for researchers at all levels who work with data from digital microscopes or other imaging systems. The workshop includes a presentation and hands-on session. Prior knowledge in microscopy, scripting and data analysis is not required.<\/p><p>Bringing your own laptop is strongly encouraged, but it is also possible to follow the workshop as a demonstration only.<\/p><p>Any student \/ researcher dealing with scientific images is more than welcome to join this workshop.<\/p><p>Keywords:<\/p><p>Imaging, image processing, image annotation, Bio-Formats, OMERO, Data management<\/p><\/div>\n  <\/div>\n<\/div>\n    <\/div>\n  <\/div>\n<\/div><div class=\"session-block\" id=\"S6\">\n  <button class=\"session-trigger\" aria-expanded=\"false\" aria-controls=\"session-panel-S6\" id=\"session-btn-S6\">\n    <span class=\"session-info\">\n      <span class=\"session-title\">Day 2 Session 3<\/span>\n      <span class=\"session-sub\">&#x1f4c5; June 18 &nbsp;\u00b7&nbsp; &#x23f0; 14:45\u201315:45<\/span>\n    <\/span>\n    <span class=\"session-count\">16 workshops<\/span>\n    <span class=\"session-chevron\" aria-hidden=\"true\"><svg width=\"20\" height=\"20\" viewBox=\"0 0 16 16\" fill=\"none\"><path d=\"M4 6l4 4 4-4\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/span>\n  <\/button>\n  <div class=\"session-panel\" id=\"session-panel-S6\" role=\"region\" aria-labelledby=\"session-btn-S6\" hidden>\n    <div class=\"ws-accordion\">\n      <div class=\"ws-item\">\n  <button class=\"ws-trigger\" aria-expanded=\"false\" aria-controls=\"ws-panel-S6-0\" id=\"ws-btn-S6-0\">\n    <span class=\"company-tag\">Abbelight<\/span>\n    <span class=\"ws-title\">High-Throughput DNA-PAINT Imaging with Abbelight SAFe System Featuring ASTER Illumination<\/span>\n    <span class=\"chevron\" aria-hidden=\"true\"><svg width=\"14\" height=\"14\" viewBox=\"0 0 16 16\" fill=\"none\"><path d=\"M4 6l4 4 4-4\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/span>\n  <\/button>\n  <div class=\"ws-panel\" id=\"ws-panel-S6-0\" role=\"region\" aria-labelledby=\"ws-btn-S6-0\" hidden>\n    <div class=\"panel-meta\">\n      <span>&#x1f3a4; Tom Borianne<\/span>\n      <span>&#x1f4cd; ABBELIGHT Room<\/span>\n    <\/div>\n    <div class=\"panel-abstract\"><p>Super-resolution microscopy has transformed the way we explore biological systems. One popular technique, DNA-PAINT, exploits the intermittent binding of fluorescent DNA to their targets to illuminate only a subset of molecules at a time and allows Single-Molecule Localization Microscopy (SMLM). Each blinking event is fitted to localize the position of the emitter with a 10 \u2013 20 nm spatial resolution, enabling the visualization of cellular structures and molecular organization at the nanoscale. In the past, DNA-PAINT generally suffered from small fields of view (FOV) and lengthy acquisitions, limiting the overall throughput of data collection.<\/p><p>In this workshop, we demonstrate Abbelight high-throughput DNA-PAINT imaging, enabled by the SAFe platform workflow, which features ASTER illumination, a proprietary flat field excitation technology. Our system enables an ultra-wide 230 x 230 \u00b5m fields-of-view and the illumination power is 95% homogeneous across the whole FOV ensuring consistent fluorophore excitation from center to edge and reliable quantifications. In Abbelight NEO LiveImagingTM software, users have access to real-time processing of the data, allowing them to decide early on if a FOV is worth the full acquisition and saving precious time on the instrument. By programming automated acquisitions, the Multi-Dimensional Acquisition (MDA) enables stitching of millimeter-sized regions, plate screening and target multiplexing using the Smartflow microfluidic system to conduct exchange-PAINT. In Abbelight NEO AnalysisTM software, the large datasets can be batched-processed overnight and favor time optimization. The result: higher statistical power and data-rich acquisitions that open the door to population level insights and rare event detection.<\/p><\/div>\n  <\/div>\n<\/div><div class=\"ws-item tba-item\">\n  <button class=\"ws-trigger\" aria-expanded=\"false\" aria-controls=\"ws-panel-S6-1\" id=\"ws-btn-S6-1\">\n    <span class=\"company-tag\">Abberior Instruments<\/span>\n    <span class=\"ws-title\">Abberior Workshop \u2014 title TBA<span class=\"tba-badge\">Details TBA<\/span><\/span>\n    <span class=\"chevron\" aria-hidden=\"true\"><svg width=\"14\" height=\"14\" viewBox=\"0 0 16 16\" fill=\"none\"><path d=\"M4 6l4 4 4-4\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/span>\n  <\/button>\n  <div class=\"ws-panel\" id=\"ws-panel-S6-1\" role=\"region\" aria-labelledby=\"ws-btn-S6-1\" hidden>\n    <div class=\"panel-meta\">\n      <span>&#x1f3a4; TBA<\/span>\n      <span>&#x1f4cd; ABBERIOR Room<\/span>\n    <\/div>\n    <div class=\"panel-abstract\"><p>Details to be announced.<\/p><\/div>\n  <\/div>\n<\/div><div class=\"ws-item\">\n  <button class=\"ws-trigger\" aria-expanded=\"false\" aria-controls=\"ws-panel-S6-2\" id=\"ws-btn-S6-2\">\n    <span class=\"company-tag\">Bruker<\/span>\n    <span class=\"ws-title\">Vutara VXL \u2013 Volumetric- and 3D-Single-Molecule-Localization Microscopy<\/span>\n    <span class=\"chevron\" aria-hidden=\"true\"><svg width=\"14\" height=\"14\" viewBox=\"0 0 16 16\" fill=\"none\"><path d=\"M4 6l4 4 4-4\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/span>\n  <\/button>\n  <div class=\"ws-panel\" id=\"ws-panel-S6-2\" role=\"region\" aria-labelledby=\"ws-btn-S6-2\" hidden>\n    <div class=\"panel-meta\">\n      <span>&#x1f3a4; Corentin Rousset<\/span>\n      <span>&#x1f4cd; BRUKER Room<\/span>\n    <\/div>\n    <div class=\"panel-abstract\"><p>Modern fluorescence microscopy applications need to be performed in natural environments of the structures of interests. This requires using large samples, like tissue slices, organoids\/spheroids or even whole model organisms. One of the main limitations of Single Molecule Localization Microscopy microscopes is their weak ability to image structures deeper than few nm of the coverslip.<\/p><p>Engineered with simplicity and functionality in mind, the Bruker Vutara VXL system is different, as it uses robust widefield illumination in combination with the patented Biplane detection for 3D imaging. With this combination entire volumes in up to 50 \u00b5m depth inside the sample can be resolved in 3D with 20 nm resolution. The comprehensive processing and analysis pipeline in the SRX software package provides insights into the 3D-distribution of the detected molecules within cells in their native environment.<\/p><\/div>\n  <\/div>\n<\/div><div class=\"ws-item\">\n  <button class=\"ws-trigger\" aria-expanded=\"false\" aria-controls=\"ws-panel-S6-3\" id=\"ws-btn-S6-3\">\n    <span class=\"company-tag\">Carl Zeiss MIcroscopy GmbH<\/span>\n    <span class=\"ws-title\">SMART Microscopy for Coders by ZEISS Research Microscopy Solutions<\/span>\n    <span class=\"chevron\" aria-hidden=\"true\"><svg width=\"14\" height=\"14\" viewBox=\"0 0 16 16\" fill=\"none\"><path d=\"M4 6l4 4 4-4\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/span>\n  <\/button>\n  <div class=\"ws-panel\" id=\"ws-panel-S6-3\" role=\"region\" aria-labelledby=\"ws-btn-S6-3\" hidden>\n    <div class=\"panel-meta\">\n      <span>&#x1f3a4; Soren Prag<\/span>\n      <span>&#x1f4cd; ZEISS Room<\/span>\n    <\/div>\n    <div class=\"panel-abstract\"><p>ZEN software from ZEISS provides multiple tools to approach Smart Microscopy. These tools will be demonstrated in two separate workshops. The first workshop is designed for users without scripting experience and will focus on GUI-based procedures for typical event- or phenotype-driven high-resolution imaging using the Guided Acquisition. The second workshop targets advanced coders and will highlight custom Smart Imaging techniques utilizing the ZEN-API.<\/p><p>Advanced imaging techniques have become crucial tools in biomedical research, enabling scientists to explore and document intricate biological structures and their dynamics across scales, from single biomolecules to entire animals.<\/p><p>Image acquisition workflows include positioning of the sample inside the microscope, finding the imaging target and setting the acquisition parameters. Traditionally, these routine steps are often performed manually. While manual operation gives experimenters control over the acquisition process, this limits applicability and scalability.<\/p><p>Smart Imaging approaches circumvent these limitations, by combining imaging with on-the-fly processing of acquired data to trigger changes in the imaging settings. Using live data to steer the acquisition or sample perturbation broadens the capabilities of microscopes to new types of experiments. For example, high-resolution imaging of a specific (rare) phenotypes becomes accessible when identifying the object of interest in a low-resolution overview beforehand, followed by switching to a high-resolution imaging modality only for the relevant field-of-view determined by image analysis.<\/p><\/div>\n  <\/div>\n<\/div><div class=\"ws-item\">\n  <button class=\"ws-trigger\" aria-expanded=\"false\" aria-controls=\"ws-panel-S6-4\" id=\"ws-btn-S6-4\">\n    <span class=\"company-tag\">CrestOptics<\/span>\n    <span class=\"ws-title\">IXplore IX85 SpinXL: High-Throughput Spinning Disk Confocal Live Imaging with Large Field-of-View FN26.5<\/span>\n    <span class=\"chevron\" aria-hidden=\"true\"><svg width=\"14\" height=\"14\" viewBox=\"0 0 16 16\" fill=\"none\"><path d=\"M4 6l4 4 4-4\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/span>\n  <\/button>\n  <div class=\"ws-panel\" id=\"ws-panel-S6-4\" role=\"region\" aria-labelledby=\"ws-btn-S6-4\" hidden>\n    <div class=\"panel-meta\">\n      <span>&#x1f3a4; Gregory Perry; Wojciech Brutowski<\/span>\n      <span>&#x1f4cd; CRESTOPTICS Room<\/span>\n    <\/div>\n    <div class=\"panel-abstract\"><p>This workshop presents the EVIDENT IXplore IX85 SpinXL system, combining high-speed spinning disk confocal imaging with an expanded field of view enabled by FN26.5 optics. Built on the IX85 platform, and powered by CrestOptics spinning disk technology the system is designed to capture more biologically relevant context per frame, reducing the need for stitching while increasing experimental throughput.<\/p><p>The workshop focuses on how large field-of-view imaging directly impacts workflow efficiency in live-cell and high-content applications. By acquiring larger areas in a single shot, users can monitor more cells simultaneously, improve statistical relevance, and reduce acquisition time. The spinning disk architecture further supports gentle imaging conditions, minimizing phototoxicity and enabling longer time-lapse experiments.<\/p><p>Participants will explore how the system balances speed, sensitivity, and scalability, making it suitable for shared environments such as imaging core facilities. Emphasis is placed on consistent data generation across users, simplified operation, and adaptability to different experimental needs.<\/p><\/div>\n  <\/div>\n<\/div><div class=\"ws-item\">\n  <button class=\"ws-trigger\" aria-expanded=\"false\" aria-controls=\"ws-panel-S6-5\" id=\"ws-btn-S6-5\">\n    <span class=\"company-tag\">CSR Europe GmbH<\/span>\n    <span class=\"ws-title\">From Raw Data to High-Fidelity Insights: Advanced Processing for Live-Cell Imaging<\/span>\n    <span class=\"chevron\" aria-hidden=\"true\"><svg width=\"14\" height=\"14\" viewBox=\"0 0 16 16\" fill=\"none\"><path d=\"M4 6l4 4 4-4\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/span>\n  <\/button>\n  <div class=\"ws-panel\" id=\"ws-panel-S6-5\" role=\"region\" aria-labelledby=\"ws-btn-S6-5\" hidden>\n    <div class=\"panel-meta\">\n      <span>&#x1f3a4; Christiaan Stuut<\/span>\n      <span>&#x1f4cd; CSR BIOTECH Room<\/span>\n    <\/div>\n    <div class=\"panel-abstract\"><p>The quality of your biological insights is often determined by the sophistication of your post-processing. This workshop focuses on FINER, our comprehensive software package designed to extract the maximum information from raw image data. We will explore advanced computational techniques such as Sparse and SACD deconvolution, alongside AI denoising to enhance signal-to-noise ratios. Attendees will learn practical strategies for managing common imaging artifacts, including drift correction, bleach correction, and efficient batch processing for large datasets. Whether working with short SIM acquisitions or fixed-cell samples, this session demonstrates how to refine your data into high-fidelity, quantitative results while maintaining the highest standards of image integrity.<\/p><\/div>\n  <\/div>\n<\/div><div class=\"ws-item\">\n  <button class=\"ws-trigger\" aria-expanded=\"false\" aria-controls=\"ws-panel-S6-6\" id=\"ws-btn-S6-6\">\n    <span class=\"company-tag\">Evident<\/span>\n    <span class=\"ws-title\">Scale Up Your Multiplexing experiments: Advancing Spatial Biology with the SLIDEVIEW VS200<\/span>\n    <span class=\"chevron\" aria-hidden=\"true\"><svg width=\"14\" height=\"14\" viewBox=\"0 0 16 16\" fill=\"none\"><path d=\"M4 6l4 4 4-4\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/span>\n  <\/button>\n  <div class=\"ws-panel\" id=\"ws-panel-S6-6\" role=\"region\" aria-labelledby=\"ws-btn-S6-6\" hidden>\n    <div class=\"panel-meta\">\n      <span>&#x1f3a4; Wei Juan Wong;Maria Prusicki; Elisa Escola Agusti<\/span>\n      <span>&#x1f4cd; EVIDENT Room<\/span>\n    <\/div>\n    <div class=\"panel-abstract\"><p>Understanding how molecular expression patterns relate to tissue structure and cellular context remains a central challenge in spatial biology. In this context, multiplexed imaging is particularly powerful, as it allows multiple biomarkers to be analysed simultaneously, providing deeper insight into complex biological processes within a single sample.<\/p><p>The latest development of the SLIDEVIEW VS200 slide scanner is specifically designed to support spatial biology workflows by enabling the acquisition of up to 10 fluorescence channels in a single imaging round. By reducing repeated staining cycles and slide handling, this approach minimizes tissue stress, improves data consistency, and helps preserve sample integrity. In addition, the use of dedicated filter sets eliminates the need for spectral unmixing, resulting in more straightforward downstream analysis and significantly reduced processing time.<\/p><p>Beyond advanced fluorescence capabilities, SLIDEVIEW VS200 combines large area, high throughput slide scanning with true multimodal imaging, including brightfield, polarized light, transmitted light, Structured illumination (VS-SILA) and fluorescence acquisition. This multimodality allows users to generate comprehensive datasets that seamlessly integrate morphological and molecular information from the same tissue section.<\/p><\/div>\n  <\/div>\n<\/div><div class=\"ws-item\">\n  <button class=\"ws-trigger\" aria-expanded=\"false\" aria-controls=\"ws-panel-S6-7\" id=\"ws-btn-S6-7\">\n    <span class=\"company-tag\">Intelligent Imaging Innovations GmbH<\/span>\n    <span class=\"ws-title\">PlantScope: Live Root Tip Tracking for Dynamic Plant Imaging<\/span>\n    <span class=\"chevron\" aria-hidden=\"true\"><svg width=\"14\" height=\"14\" viewBox=\"0 0 16 16\" fill=\"none\"><path d=\"M4 6l4 4 4-4\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/span>\n  <\/button>\n  <div class=\"ws-panel\" id=\"ws-panel-S6-7\" role=\"region\" aria-labelledby=\"ws-btn-S6-7\" hidden>\n    <div class=\"panel-meta\">\n      <span>&#x1f3a4; Daniel von Wangenheim; Nicole Zobiack; Ben Atkinson<\/span>\n      <span>&#x1f4cd; 3i Room<\/span>\n    <\/div>\n    <div class=\"panel-abstract\"><p>PlantScope is a turnkey live-cell imaging platform designed for long-term observation of growing plant roots with automated tracking. The system enables researchers to follow root tip dynamics over hours to days while maintaining plants in a physiologically relevant upright growth orientation using a unique vertical stage design.<\/p><p>A key capability of PlantScope is automated live root tip tracking. As roots grow and change direction, the system continuously follows the advancing tip and acquires high-resolution image montages that capture the entire developmental cycle, including the meristematic, elongation, and differentiation zones at every time point. This enables comprehensive visualization of root growth dynamics, cell division patterns, tropic responses, and developmental trajectories across extended time-lapse experiments.<\/p><p>At the core of PlantScope, SlideBook and the Yokogawa CSU-W1 spinning disk confocal enable robust capture of dynamic biological processes in realtime. The CSU-W1 delivers rapid acquisition speeds, high sensitivity and multi-color sub-cellular imaging optimized for live samples. SlideBook software seamlessly coordinates all hardware &#8211; including microscope, camera, stage, spinning disk, laser launch, NIR lamp &#8211; in combination with automated tracking and adaptive imaging workflows in a familiar, easy-to-use interface.<\/p><p>In this workshop, we will demonstrate the PlantScope Marianas multimodal microscopy system with root tip tracking capabilities, showcasing automated long-term imaging workflows and high-resolution visualization of dynamic root development.<\/p><\/div>\n  <\/div>\n<\/div><div class=\"ws-item\">\n  <button class=\"ws-trigger\" aria-expanded=\"false\" aria-controls=\"ws-panel-S6-8\" id=\"ws-btn-S6-8\">\n    <span class=\"company-tag\">Leica<\/span>\n    <span class=\"ws-title\">Smarter STELLARIS: Built-in Intelligence where (every) photon counts<\/span>\n    <span class=\"chevron\" aria-hidden=\"true\"><svg width=\"14\" height=\"14\" viewBox=\"0 0 16 16\" fill=\"none\"><path d=\"M4 6l4 4 4-4\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/span>\n  <\/button>\n  <div class=\"ws-panel\" id=\"ws-panel-S6-8\" role=\"region\" aria-labelledby=\"ws-btn-S6-8\" hidden>\n    <div class=\"panel-meta\">\n      <span>&#x1f3a4; Luis Alvarez<\/span>\n      <span>&#x1f4cd; LEICA Room<\/span>\n    <\/div>\n    <div class=\"panel-abstract\"><p>L.A.J. Alvarez, I. Steinmetz, U. Schwarz, V. Augustin, J. Pearson, H. Birk, F. Hecht, J. Roberti<\/p><p>Leica Microsystems CMS, Am Friedensplatz 3, 68165, Mannheim, Germany.<\/p><p>In this workshop, we present three advances for the Leica Microsystems STELLARIS platform: new detectors, automated correction collar optimization, and real-time AI denoising.<\/p><p>We introduce the new generation of multi-pixel photon counting (MCCP)-based Power HyD detectors, the new Power HyD S and Power HyD N. The Power HyD N is a far-red-shifted detector with enhanced photon detection efficiency in the near-infrared. Together with the updated Power HyD S, both feature improved electronics and cooling to \u221239 \u00b0C, reducing dark counts and enhancing single-photon discrimination. Combined with PowerCounting (1) and White Light Laser excitation up to 790 nm, they enable quantitative multiplexed imaging across visible and NIR spectra while retaining lifetime imaging capabilities.<\/p><p>SmartCORR automatically optimizes motorized correction collar settings to match sample-specific conditions, significantly improving image quality by reducing sample-dependent spherical aberrations caused by variations in coverslip thickness or specimen properties. This eliminates time-consuming manual adjustment and minimizes human bias and error. SmartCorr allows to dynamically make changes for larger samples with inhomogeneous properties in confocal, multiphoton and TauSTED experiments.<\/p><p>To boost image quality on-the-fly AI denoising framework, based on Noise2Noise (2) and trained on detector-specific data, enables real-time denoising during live scanning across all STELLARIS systems, featuring a more linearized response, temporal stabilization, and a hallucination blocker to prevent artefacts in photon-sparse regions with the original raw always preserved.<\/p><p>1. Schweikhard, V. et al. (2020). DOI: 10.1038\/d42473-020-00398-0.<\/p><p>2. Lehtinen, J. et al. (2018).<\/p><\/div>\n  <\/div>\n<\/div><div class=\"ws-item\">\n  <button class=\"ws-trigger\" aria-expanded=\"false\" aria-controls=\"ws-panel-S6-9\" id=\"ws-btn-S6-9\">\n    <span class=\"company-tag\">Miltenyi Biotec B.V. &amp; Co. KG<\/span>\n    <span class=\"ws-title\">Light Sheet Microscopy at LightSpeed: Transforming 3D Imaging with UltraMicroscope Blaze&#x2122;<\/span>\n    <span class=\"chevron\" aria-hidden=\"true\"><svg width=\"14\" height=\"14\" viewBox=\"0 0 16 16\" fill=\"none\"><path d=\"M4 6l4 4 4-4\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/span>\n  <\/button>\n  <div class=\"ws-panel\" id=\"ws-panel-S6-9\" role=\"region\" aria-labelledby=\"ws-btn-S6-9\" hidden>\n    <div class=\"panel-meta\">\n      <span>&#x1f3a4; Guruchandar Arulmozhivarman;Afshin Khalili ; Luis Muniz<\/span>\n      <span>&#x1f4cd; MILTENYI Room<\/span>\n    <\/div>\n    <div class=\"panel-abstract\"><p>Visualizing the three-dimensional architecture of complex biological specimens has traditionally required labor-intensive workflows and imaging times ranging from hours to days. To overcome these limitations, Miltenyi Biotec offers an integrated 3D imaging ecosystem that streamlines sample processing, acquisition, visualization, and analysis. In this workshop, we will present live demonstrations of the UltraMicroscope Blaze&#x2122; and its latest innovations for high-speed, scalable light sheet imaging. Attendees will experience the new LightSpeed mode, enabling up to 60-fold faster image acquisition for large-volume specimens, alongside the MACS iQ View \u2013 3D Large Volume package for efficient visualization and handling of large multidimensional datasets with OCTAGON PRIME. We will further highlight an integrated 3D\/2D workflow combining volumetric imaging with high-plex spatial analysis, providing a comprehensive solution for accelerated, data-rich biological discovery.<\/p><\/div>\n  <\/div>\n<\/div><div class=\"ws-item\">\n  <button class=\"ws-trigger\" aria-expanded=\"false\" aria-controls=\"ws-panel-S6-10\" id=\"ws-btn-S6-10\">\n    <span class=\"company-tag\">Nikon Europe BV<\/span>\n    <span class=\"ws-title\">Bridging High-Content Screening and High-Resolution 3D Imaging with Nikon\u2019s ECLIPSE Ji and AX<\/span>\n    <span class=\"chevron\" aria-hidden=\"true\"><svg width=\"14\" height=\"14\" viewBox=\"0 0 16 16\" fill=\"none\"><path d=\"M4 6l4 4 4-4\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/span>\n  <\/button>\n  <div class=\"ws-panel\" id=\"ws-panel-S6-10\" role=\"region\" aria-labelledby=\"ws-btn-S6-10\" hidden>\n    <div class=\"panel-meta\">\n      <span>&#x1f3a4; Subash Chinnaraj<\/span>\n      <span>&#x1f4cd; NIKON Room<\/span>\n    <\/div>\n    <div class=\"panel-abstract\"><p>High-content screening and high-resolution confocal imaging have traditionally relied on separate, specialized setups. Imaging well plates at high resolution with reliable statistical output often involves complex hardware and software integration. The combination of Nikon\u2019s ECLIPSE Ji and AX confocal microscope overcomes these challenges, enabling automatic acquisition of large sample sets at the highest resolution.<\/p><p>ECLIPSE Ji \u2013 Ease of Use and Robustness: Ji is an AI-powered acquisition and analysis platform that simplifies microscopy workflows and reduces experiment time. It automates setup steps to ensure reproducible, high-quality imaging with minimal intervention\u2014ideal for users of all experience levels. Key capabilities include:<\/p><p>\u2022 Automated well plate detection, sample alignment, brightfield AI autofocus, and AutoSignal.ai for optimized exposure settings.<\/p><p>\u2022 Smart Experiments with pre-defined assay protocols for fully automated high-content screening.<\/p><p>\u2022 Custom Experiments for designing personalized imaging and analysis workflows with the same automation and reproducibility.<\/p><p>Nikon AX, NSPARC \u2013 Superior 3D Imaging: AX system with NSPARC detector delivers exceptional optical performance for diverse magnifications and sample types. Key features include:<\/p><p>\u2022 25 mm field of view with Galvo (8K) and Resonant (2K) scanning for detailed tissue imaging and fast, gentle live-cell acquisition.<\/p><p>\u2022 Excellent optical sectioning for deep imaging of complex 3D samples such as organoids.<\/p><p>\u2022 High resolving power with simultaneous multicolor imaging of fine 3D structures.<\/p><p>During the workshop, participants will experience an end-to-end 3D spheroid imaging workflow\u2014from automated detection and adaptive Z\u2011stacking to high\u2011resolution confocal imaging and downstream analysis\u2014powered by NIS\u2011Elements JOBS and GA3 modules for smart feedback microscopy.<\/p><\/div>\n  <\/div>\n<\/div><div class=\"ws-item\">\n  <button class=\"ws-trigger\" aria-expanded=\"false\" aria-controls=\"ws-panel-S6-11\" id=\"ws-btn-S6-11\">\n    <span class=\"company-tag\">Oxford Instruments<\/span>\n    <span class=\"ws-title\">Automation, Reproducibility and Precision with Image Analysis Workflows in Imaris<\/span>\n    <span class=\"chevron\" aria-hidden=\"true\"><svg width=\"14\" height=\"14\" viewBox=\"0 0 16 16\" fill=\"none\"><path d=\"M4 6l4 4 4-4\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/span>\n  <\/button>\n  <div class=\"ws-panel\" id=\"ws-panel-S6-11\" role=\"region\" aria-labelledby=\"ws-btn-S6-11\" hidden>\n    <div class=\"panel-meta\">\n      <span>&#x1f3a4; Michael Mahlert<\/span>\n      <span>&#x1f4cd; OXFORD INSTRUMENTS Room<\/span>\n    <\/div>\n    <div class=\"panel-abstract\"><p>Modern microscopy produces increasingly large and complex image datasets, yet image analysis often remains repetitive, time-consuming, and difficult to reproduce. Researchers frequently apply identical analysis steps across multiple images while manually documenting parameters and processing decisions, creating challenges for efficiency, reproducibility, and collaboration.<\/p><p>This workshop introduces the Image Analysis Workflows available in Imaris 11 and demonstrates how they can automate repetitive tasks, standardize analysis pipelines, and capture the full analytical process in a transparent, shareable format. Participants will learn how workflows record preprocessing, object creation, filtering, masking, quantification, visualization, and other analysis steps while generating reusable workflow files that can be exported and shared with collaborators.<\/p><p>The session will also highlight the new workflow resources introduced in Imaris 11.1, including application-specific workflows developed by the Imaris team to simplify common analysis tasks and accelerate user training. Attendees will explore practical examples designed to reduce the learning curve and improve analytical consistency.<\/p><p>In addition, the workshop will cover AI-driven segmentation and object classification tools integrated into Imaris workflows. Participants will learn how machine learning\u2013based segmentation can be combined with preprocessing methods such as deconvolution, as well as advanced analysis modules including cell detection, object tracking, and filament or blood vessel tracing.<\/p><p>Finally, attendees will discover how validated workflows can be applied to many similar datasets using batch processing, enabling efficient, reproducible analysis while still allowing expert-driven manual input when required.<\/p><\/div>\n  <\/div>\n<\/div><div class=\"ws-item\">\n  <button class=\"ws-trigger\" aria-expanded=\"false\" aria-controls=\"ws-panel-S6-12\" id=\"ws-btn-S6-12\">\n    <span class=\"company-tag\">Oxford Nanoimaging Ltd<\/span>\n    <span class=\"ws-title\">From Basics to Brilliance<\/span>\n    <span class=\"chevron\" aria-hidden=\"true\"><svg width=\"14\" height=\"14\" viewBox=\"0 0 16 16\" fill=\"none\"><path d=\"M4 6l4 4 4-4\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/span>\n  <\/button>\n  <div class=\"ws-panel\" id=\"ws-panel-S6-12\" role=\"region\" aria-labelledby=\"ws-btn-S6-12\" hidden>\n    <div class=\"panel-meta\">\n      <span>&#x1f3a4; Claudia Zagami<\/span>\n      <span>&#x1f4cd; ONI Room<\/span>\n    <\/div>\n    <div class=\"panel-abstract\"><p>Using ONI\u2019s Nanoimager with the Discovery KitTM: dSTORM in cells, the ultimate kit to prepare your samples for super-resolution imaging.<\/p><p>The Nanoimager is a compact and state-of-the-art microscope, offering quantitative analysis for localisation-based imaging (dSTORM, PALM, and DNA-PAINT), single-particle tracking, and single-molecule FRET. Designed to operate on any lab bench and with a footprint smaller than a piece of A4 paper, it simplifies super-resolution imaging.<\/p><p>The ONI Discovery Kit&#x2122;: dSTORM in cells 2 provides a modular workflow for immunofluorescent labelling in cultured cells, which allows you to confidently detect extra and intracellular proteins in two channels with 20 nm resolution and high sensitivity in your own samples. You provide the cells and custom antibodies; we provide the rest!<\/p><p>This workshop is intended for scientists who are looking to brush up on their knowledge of dSTORM and to apply super-resolution to further their research at the molecular level.<\/p><\/div>\n  <\/div>\n<\/div><div class=\"ws-item\">\n  <button class=\"ws-trigger\" aria-expanded=\"false\" aria-controls=\"ws-panel-S6-13\" id=\"ws-btn-S6-13\">\n    <span class=\"company-tag\">PicoQuant<\/span>\n    <span class=\"ws-title\">Towards smart microscopy workflows with a python interface in Luminosa<\/span>\n    <span class=\"chevron\" aria-hidden=\"true\"><svg width=\"14\" height=\"14\" viewBox=\"0 0 16 16\" fill=\"none\"><path d=\"M4 6l4 4 4-4\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/span>\n  <\/button>\n  <div class=\"ws-panel\" id=\"ws-panel-S6-13\" role=\"region\" aria-labelledby=\"ws-btn-S6-13\" hidden>\n    <div class=\"panel-meta\">\n      <span>&#x1f3a4; Isabel Gross;Fabian Jolmes;Fabio Barachati;Johan Hummert<\/span>\n      <span>&#x1f4cd; PICOQUANT Room<\/span>\n    <\/div>\n    <div class=\"panel-abstract\"><p>\u201cSmart\u201d or Adaptive Feedback Microscopy or Event Driven Microscopy aims to combine bioimage analysis (and other algorithms) with fully motorized and computer-controlled microscopes to create automated and adaptive measurement sequences. This enables the user for example to monitor transient and rare events in the desired level of detail across a large cell population or over long observation times or to streamline the optimization of acquisition parameters and the batch analysis of multiple measurements in a single script.<\/p><p>Here, we present the development of a scripting concept based on the Python programming language for the fully motorized single-photon counting confocal microscope Luminosa. We illustrate these benefits by presenting specific use cases for automated optimization of acquisition parameters. The framework fully opens up the microscope interface to allow the user to call external python libraries without compromising the workflows and functionalities present in the microscope software, such as the user settings, laser safety interlock, and predefined functionality blocks for auto-alignment, live views, etc. Thus scripting demands for the user remain rather low enabling non-experts to develop their own measurement\/analysis pipelines.<\/p><p>We envision that the community will build upon this python interface bringing the rapidly evolving open source activities closer to the commercial instrumentation allowing for more efficient method developments nd granting end users direct access to cutting-edge developments. As an example of all possibilities opened via the python interface a connection of between Luminosa and AI-Agents will be shown.<\/p><\/div>\n  <\/div>\n<\/div><div class=\"ws-item\">\n  <button class=\"ws-trigger\" aria-expanded=\"false\" aria-controls=\"ws-panel-S6-14\" id=\"ws-btn-S6-14\">\n    <span class=\"company-tag\">Thorlabs GmbH<\/span>\n    <span class=\"ws-title\">From Components to Complete Multiphoton Microscopes: Customer-Inspired Imaging Solutions<\/span>\n    <span class=\"chevron\" aria-hidden=\"true\"><svg width=\"14\" height=\"14\" viewBox=\"0 0 16 16\" fill=\"none\"><path d=\"M4 6l4 4 4-4\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/span>\n  <\/button>\n  <div class=\"ws-panel\" id=\"ws-panel-S6-14\" role=\"region\" aria-labelledby=\"ws-btn-S6-14\" hidden>\n    <div class=\"panel-meta\">\n      <span>&#x1f3a4; Sergey Matveev<\/span>\n      <span>&#x1f4cd; PHASEVIEW \/ THORLABS ROOM<\/span>\n    <\/div>\n    <div class=\"panel-abstract\"><p>Multiphoton microscopy has become an essential tool for studying neuronal activity, circuit dynamics, and complex biological processes in living specimens. However, advanced imaging experiments have traditionally depended on highly customized systems, specialist alignment knowledge, and careful integration of many optical, mechanical, electronic, and laser components.<\/p><p>This workshop presents Thorlabs\u2019 evolving component-to-system approach to multiphoton microscopy, developed through a large portfolio of photonics, optomechanics, objectives, detectors, motion control, and imaging technologies. We will discuss how Thorlabs\u2019 long-standing component expertise has expanded into customer-inspired turnkey and modular microscopy platforms, and how this system-level experience now feeds back into the development of broadly useful microscopy components for the wider life-science community.<\/p><p>As an example of this approach, we will highlight the Prelude\u00ae Functional Imaging Microscope, a compact, fully integrated two-photon platform designed to simplify access to in vivo functional imaging. Developed in collaboration with researchers from Baylor College of Medicine and Columbia University, Prelude combines fiber-delivered femtosecond excitation, alignment-free operation, sensitive silicon photomultiplier detection, and flexible sample access in a maneuverable platform optimized for GFP and GCaMP imaging. In this workshop, excitation is provided by a TOPTICA Photonics FemtoFiber Ultra 920 nm laser, illustrating the role of close technology partnerships in delivering robust imaging solutions.<\/p><p>Beyond the microscope platform itself, the workshop will show how lessons learned from turnkey systems help identify missing capabilities and inspire enabling technologies, including life-science-optimized objectives, silicon photomultiplier detector modules, remote focusing options, modular microscope architectures, and compact imaging tools such as mini2P.<\/p><\/div>\n  <\/div>\n<\/div><div class=\"ws-item\">\n  <button class=\"ws-trigger\" aria-expanded=\"false\" aria-controls=\"ws-panel-S6-15\" id=\"ws-btn-S6-15\">\n    <span class=\"company-tag\">Tomocube<\/span>\n    <span class=\"ws-title\">Holotomography for Every Lab: Label-Free 3D Live Imaging with the HT-X1 mini<\/span>\n    <span class=\"chevron\" aria-hidden=\"true\"><svg width=\"14\" height=\"14\" viewBox=\"0 0 16 16\" fill=\"none\"><path d=\"M4 6l4 4 4-4\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/span>\n  <\/button>\n  <div class=\"ws-panel\" id=\"ws-panel-S6-15\" role=\"region\" aria-labelledby=\"ws-btn-S6-15\" hidden>\n    <div class=\"panel-meta\">\n      <span>&#x1f3a4; Bruno Combettes; Reza Pari-Nejad; Daniel Ghete<\/span>\n      <span>&#x1f4cd; TOMOCUBE Room<\/span>\n    <\/div>\n    <div class=\"panel-abstract\"><p>Holotomography (HT) is a powerful tool for label-free, quantitative 3D imaging of living cells. By reconstructing the three-dimensional refractive index (RI) distribution of biological specimens, HT reveals subcellular structures\u2014including nuclei, mitochondria, and lipid droplets\u2014without the need for exogenous labels or staining, preserving the native physiological state of cells throughout the experiment.<\/p><p>In this workshop, we introduce the HT-X1 mini, the latest addition to Tomocube\u2019s HT-X1 series. The HT-X1 mini brings full HT performance to an affordable, everyday-ready platform designed to lower the barrier to high-quality label-free imaging. As a table-top system, it fits seamlessly into culture rooms and space-limited environments, and operates via a laptop-based workflow with minimal setup requirements.<\/p><p>Despite its compact form factor, the HT-X1 mini delivers comparable performance to other HT-X1 series systems, supporting high-resolution 3D structural visualization and quantitative RI-based analysis through TomoAnalysis&#x2122; workflows. The system is expandable with optional modules\u2014including a stage-top incubator for long-term live-cell imaging, a fluorescence light engine for target-specific signals, additional HT wavelengths, and a laser-based autofocus sensor\u2014making it adaptable as research needs evolve.<\/p><p>This workshop will present representative applications enabled by the HT-X1 mini, including cell morphology observation, quantitative phenotyping, and routine live-cell culture monitoring. We will demonstrate how RI-based imaging provides immediate biological insight\u2014from single-cell morphodynamics to subcellular organelle tracking\u2014enabling rich structural insight from label-free RI data. Overall, we aim to show that HT is no longer a specialized capability reserved for a few labs, but an accessible, everyday imaging modality available to any cell biology researcher.<\/p><\/div>\n  <\/div>\n<\/div>\n    <\/div>\n  <\/div>\n<\/div>\n\n  <p class=\"tellmi-footnote\">* <strong>TELLMI workshops<\/strong> are promoted by the scientific community and run concurrently with company workshops in Day 1 Session 1 and Session 2, and Day 2 Session 1 and 2.<\/p>\n\n<\/div>\n\n<script>\n(function() {\n  document.querySelectorAll('.session-trigger').forEach(function(btn) {\n    btn.addEventListener('click', function() {\n      var expanded = this.getAttribute('aria-expanded') === 'true';\n      var panel = document.getElementById(this.getAttribute('aria-controls'));\n      this.setAttribute('aria-expanded', String(!expanded));\n      panel.hidden = expanded;\n    });\n  });\n  document.querySelectorAll('.ws-trigger').forEach(function(btn) {\n    btn.addEventListener('click', function() {\n      var expanded = this.getAttribute('aria-expanded') === 'true';\n      var panel = document.getElementById(this.getAttribute('aria-controls'));\n      this.setAttribute('aria-expanded', String(!expanded));\n      panel.hidden = expanded;\n    });\n  });\n  window.openSession = function(slot) {\n    var trigger = document.getElementById('session-btn-' + slot);\n    var panel   = document.getElementById('session-panel-' + slot);\n    if (trigger && panel) {\n      trigger.setAttribute('aria-expanded', 'true');\n      panel.hidden = false;\n      setTimeout(function() {\n        document.getElementById(slot).scrollIntoView({behavior: 'smooth', block: 'start'});\n      }, 50);\n    }\n  };\n})();\n<\/script>\n\n\n\n<p class=\"wp-block-paragraph\"><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Day 1 Session 1June 17 \u00b7 11:30\u201312:30Day 1 Session 2June 17 \u00b7 13:45\u201314:45Day 1 Session 3June 17 \u00b7 14:45\u201315:45Day 2 Session 1June 18 \u00b7 11:30\u201312:30Day 2 Session 2June 18 \u00b7 13:45\u201314:45Day 2 Session 3June 18 \u00b7 14:45\u201315:45 Day 1 Session 1 &#x1f4c5; June 17 &nbsp;\u00b7&nbsp; &#x23f0; 11:30\u201312:30 19 workshops Abbelight Simultaneous multicolor TIRF Imaging with [&hellip;]<\/p>\n","protected":false},"author":3,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-6042","page","type-page","status-publish","hentry"],"featured_image_src":null,"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.3 - 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