Science Lab

Science Lab

Science Lab

Bienvenue sur le portail de connaissances de Leica Microsystems. Vous y trouverez des recherches scientifiques et du matériel didactique sur le thème de la microscopie. Le portail aide les débutants, les praticiens expérimentés et les scientifiques dans leur travail quotidien et leurs expériences. Explorez les didacticiels interactifs et les notes d'application, découvrez les bases de la microscopie ainsi que les technologies de pointe. Faites partie de la communauté Science Lab et partagez votre expertise.
These images illustrate the need for multiple z-slices to capture all gH2Ax foci in a given cell and get an accurate count.

Development and Derisking of CRISPR Therapies for Rare Diseases

This on-demand presentation by Dr. Fyodor Urnov and Dr. Sadik Kassim, originally delivered at ASGCT 2025, focused on a critical challenge in genetic medicine: how to scale CRISPR therapies from…

Integrated Serial Sectioning and Cryo-EM Workflows for 3D Biological Imaging

This on-demand webinar explores how integrated tools can support electron microscopy workflows from sample preparation to image analysis. Experts Andreia Pinto, Adrian Boey, and Hoyin Lai present the…
Cell DIVE multiplexed image of FFPE tissue section from human colon adenocarcinoma tissue.

Multiplexed Imaging Reveals Tumor Immune Landscape in Colon Cancer

Cancer immunotherapy benefits few due to resistance and relapse, and combinatorial therapeutic strategies that target multiple steps of the cancer-immunity cycle may improve outcomes. This study shows…
Cell DIVE multiplexed image of FFPE tissue section from human invasive ductal carcinoma (IDC)

AI-Powered Hi-Plex Spatial Analysis Tools for Breast Cancer Research

Breast cancer (BC) is the leading cause of cancer-related deaths in women. Investigating the tumor microenvironment (TME) is crucial to elucidate the mechanisms of tumor progression. Systematic…
Mouse brain slice which was immunostained with GFAP-A647 and imaged using a THUNDER Imager Tissue. Courtesy of H. Xu, University of Pennsylvania, Philadelphia, USA.

Neurosciences

Vous souhaitez une meilleure compréhension des maladies neurodégénératives ou vous étudiez le fonctionnement du système nerveux ? Découvrez comment vous pouvez faire des percées importantes grâce aux…
3D high-plex imaging in cancer immunology. Overview of a pancreatic tumor section in mouse model, labeled with 15 markers and imaged in one go using STELLARIS with SpectraPlex. (https://www.nature.com/articles/d42473-024-00260-7)

How to Streamline High-Plex Imaging for 3D Spatial Omics Advances

In this webinar, Dr. Julia Roberti and Dr. Luis Alvarez from Leica Microsystems introduce SpectraPlex, a new functionality integrated into the STELLARIS confocal platform for high-plex 3D spatial…
Pancreatic Ductal Adenocarcinoma with 11 Apoptosis biomarkers shown – BAK, BAX, BCL2, BCLXL, Caspase9, CIAP1, NaKATPase, PCK26, SMAC, Vimentin, and XIAP.

Transforming Research with Spatial Proteomics Workflows

Spatial Proteomics, Nature Methods 2024 Method of the Year, is driving research advancements in cancer, immunology, and beyond. By combining positional data with high throughput imaging of proteins in…
Large volume computational clearing processed Thunder image of human pancreatic islet organoid. Cells segmented using Segment By Example tool, automatically phenotyped, and color-coded based on phenotypes in Aivia. Image courtesy of the Matthias von Herrath Lab, La Jolla Institute of Immunology, La Jolla, CA.

Get to Insights Faster and Easier with AI Image Analysis Tools

Discover how Aivia helps scientists streamline image analysis with fast setup, accurate AI detection, and easy batch processing.
Image: Human stem cell-derived mid brain organoids. Courtesy of Dr Tanya Singh, University of Oxford.

Unlocking the Secrets of Organoid Models in Biomedical Research

Get ready to delve deeper into the world of organoids and 3D models, which are essential tools for advancing our understanding of human health. Navigating these complex structures and obtaining clear…
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