Science Lab

Science Lab

Science Lab

Bienvenido al portal de conocimiento de Leica Microsystems. Aquí encontrará investigación científica y material didáctico sobre el tema de la microscopía. El portal ayuda a principiantes, profesionales experimentados y científicos por igual en su trabajo diario y en sus experimentos. Explore tutoriales interactivos y notas de aplicación, descubra los fundamentos de la microscopía, así como las tecnologías de gama alta. Forme parte de la comunidad Science Lab y comparta sus conocimientos.
3D culture of ovarian cancer cells imaged using the confocal mode of Mica.

Mica: A Game-changer for Collaborative Research at Imperial College London

This interview highlights the transformative impact of Mica at Imperial College London. Scientists explain how Mica has been a game-changer, expanding research possibilities and facilitating…

Investigación del cáncer

El cáncer es una enfermedad compleja y heterogénea causada por células con una regulación deficiente del crecimiento. Los cambios genéticos y epigenéticos en una célula o en un grupo de ellas alteran…
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…
Cell DIVE image of stromal remodeling around B cell follicles of follicular lymphoma patients. Stromal cells labeled with antibodies against desmin (red), SPARC (orange), vimentin (blue), and a-sma (yellow). Extracellular matrix labeled with antibody against lumican (cyan). B cells labeled with antibody against CD20 (green). Image credit: Dr. Andrea Radtke, Center for Advanced Tissue Imaging, NIAID, NIH

Empowering Spatial Biology with Open Multiplexing and Cell DIVE

Spatial biology and multiplexed imaging workflows have become important in immuno-oncology research. Many researchers struggle with study efficiency, even with effective tools and protocols. Here, we…

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.

Laser Microdissection Protocols for Tissue and Cell Isolation - Download free eBook

In this Bio-protocol Selections, we present a collection of open-access, detailed methods papers using LCM to purify and isolate tissues and cells from plants, mouse embryos, cancer cells, neurons,…

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
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