Ciências da vida | Aprenda e compartilhe | Leica Microsystems

Ciências da vida

Ciências da vida

Este é o lugar para expandir seus conhecimentos, recursos de pesquisa e aplicações práticas de microscopia em vários campos científicos. Saiba como obter visualização precisa, interpretação de imagens e avanços na pesquisa. Encontre informações perspicazes sobre microscopia avançada, técnicas de geração de imagens, preparação de amostras e análise de imagens. Os tópicos abordados incluem biologia celular, neurociência e pesquisa do câncer, com foco em aplicações e inovações de ponta.

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…

Multiplexed Cell DIVE imaging to characterize the tumor immune microenvironment in human colon adenocarcinoma (CAC) tissue.

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.

Multiplexed Cell DIVE imaging of selected clusters and unique cell populations identified in mucinous cystadenocarcinoma of the ovary.

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.

Pancreatic Ductal Adenocarcinoma with 11 Aerobic Glycolysis/Warburg Effect biomarkers shown – BCAT, Glut1, HK2, HTR2B, LDHA, NaKATPase, PCAD, PCK26, PKM2, SMA1, and Vimentin.

IBEX, Cell DIVE, and RNA-Seq: A Multi-omics Approach to Follicular Lymphoma

In a recent study by Radtke et al., a multi-omics spatial biology approach helps shed light on early relapsing lymphoma patients

Accelerating Discovery for Multiplexed Imaging of Diverse Tissues

Explore IBEX: Open-source multiplexed imaging. Join the collaborative IBEX Imaging Community for optimized tissue processing, antibody selection, and human atlas construction.

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…

Hepatocellular Carcinoma with 13 biomarkers shown – Beta-Catenin, CD3D, CD4, CD8a, CD31, CD44, CD163, DAPI, PanCK, PCK26, PD1, SMA, and Vimentin.

Understanding Tumor Heterogeneity with Protein Marker Imaging

Explore tumor heterogeneity and immune cell dynamics. See how quantitative imaging analysis reveals spatial relationships and molecular insights crucial for advancing cancer research and therapeutics.