Science Lab

Science Lab

Science Lab

The knowledge portal of Leica Microsystems offers scientific research and teaching material on the subjects of microscopy. The content is designed to support 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!
Dapi – Nucleus, GFP – Plasma Membrane, Thickness 100µm, 63x objektive, 469 Z planes, 2 channels, THUNDER Imager 3D Cell Culture. Courtesy M.Sc. Dana Krauß, Medical University of Vienna (Austria).

How Efficient is your 3D Organoid Imaging and Analysis Workflow?

Organoid models have transformed life science research but optimizing image analysis protocols remains a key challenge. This webinar explores a streamlined workflow for organoid research, starting…

How did Laser Microdissection enable Pioneering Neuroscience Research?

Dr. Marta Paterlini, a Senior Scientist at the Karolinska Institute, shares her experience of using laser microdissection (LMD) in groundbreaking research into adult human neurogenesis and offers…

AI-Powered Multiplexed Image Analysis to Explore Colon Adenocarcinoma

In this application note, we demonstrate a spatial biology workflow via an AI-powered multiplexed image analysis-based exploration of the tumor immune microenvironment in colon adenocarcinoma.

A Meta-cancer Analysis of the Tumor Spatial Microenvironment

Learn how clustering analysis of Cell DIVE datasets in Aivia can be used to understand tissue-specific and pan-cancer mechanisms of cancer progression
Multiplexed Cell DIVE imaging of Colon Adenocarcinoma (CAC) tissue. A panel of approximately 30 biomarkers targeted towards various leukocyte lineages, epithelial, stromal, and endothelial cell types was utilized to characterize the tumor immune microenvironment in human colon adenocarcinoma (CAC) tissue.

Mapping the Landscape of Colorectal Adenocarcinoma with Imaging and AI

Discover deep insights in colon adenocarcinoma and other immuno-oncology realms through the potent combination of multiplexed imaging of Cell DIVE and Aivia AI-based image analysis
Clustering based analysis reveals various immune cell populations enriched in tumor cells within CT26.WT syngeneic mouse tumor models.

Spatial Architecture of Tumor and Immune Cells in Tumor Tissues

Dig deep into the spatial biology of cancer progression and mouse immune-oncology in this poster, and learn how tumor metabolism can effect immune cell function.
Particles observed on the surface of a particle trap which could be used for technical cleanliness during battery production.

Battery Particle Detection During the Production Process

How battery particle detection and analysis is enhanced with optical microscopy and laser spectroscopy for rapid, reliable, and cost-effective QC during battery production is explained in this…
Particulate contamination in between moving metal plates.

Key Factors for Efficient Cleanliness Analysis

An overview of the key factors necessary for technical cleanliness and efficient cleanliness analysis concerning automotive and electronics manufacturing and production is provided in this article.
2D slice of colon cancer tissue stained with 30 markers and imaged using the Cell DIVE system. Analysis performed using Aivia 13’s new multiplex cell detection recipe and automatic clustering tool. Each phenotype denoted in a different color.

Transforming Multiplexed 2D Data into Spatial Insights Guided by AI

Aivia 13 handles large 2D images and enables researchers to obtain deep insights into microenvironment surrounding their phenotypes with millions of detected objects and automatic clustering up to 30…
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