Science Lab

Science Lab

Science Lab

Learn. Share. Contribute. The knowledge portal of Leica Microsystems. Find scientific research and teaching material on the subject of microscopy. The portal supports beginners, experienced practitioners and scientists alike in their everyday work and experiments. Explore interactive tutorials and application notes, discover the basics of microscopy as well as high-end technologies. Become part of the Science Lab community and share your expertise.
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.

A Guide to Neuroscience Research

Neuroscience often requires investigating challenging specimens to better understand the nervous system and disorders. Leica microscopes helps neuroscientists obtain insights into neuronal functions.
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.
Pancreatic Ductal Adenocarcinoma with 11 Aerobic Glycolysis/Warburg Effect biomarkers shown – BCAT, Glut1, HK2, HTR2B, LDHA, NaKATPase, PCAD, PCK26, PKM2, SMA1, and Vimentin.

Dive into Pancreatic Cancer Research with Big Data

Pancreatic cancer, with a mortality rate near 40%, is challenging to treat due to its proximity to major organs. This story explores the complex biology of pancreatic ductal adenocarcinoma (PDAC),…
Colon adenocarcinoma and normal colon at the tumor margin. 13 biomarkers shown including Cadherin, CD3, CD4, CD8, CD20, CD31, CD45, Collagen, Caspase 9, BCL2, Beta-Catenin, Vimentin, and Smooth Muscle Actin.

Uncover the Hidden Complexity of Colon Cancer with Big Data

Colorectal cancer poses a significant health burden. While surgery is effective initially, some patients develop recurrent secondary disease with poor prognosis, necessitating advanced therapies like…
Cell DIVE multiplexed image of FFPE tissue section from syngeneic murine cancer model, 4T1.

Mapping Tumor Immune Landscape with AI-Powered Spatial Proteomics

Spatial mapping of untreated tumors provides an overview of the tumor immune architecture, useful for understanding therapeutic responses. Immunocompetent murine models are essential for identifying…
Automated Laser Microdissection for Proteome Analysis

Deep Visual Proteomics Provides Precise Spatial Proteomic Information

Despite the availability of imaging methods and mass spectroscopy for spatial proteomics, a key challenge that remains is correlating images with single-cell resolution to protein-abundance…
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