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Pancreatic Ductal Adenocarcinoma with 13 biomarkers shown – CD3D, CD4, CD8a, CD31, CD44, CD163, DAPI, EGFR, PanCK, PCK26, PD1, SMA, and Vimentin. Image acquired using Cell DIVE Multiplex Imaging Solution.

Multiplex Imaging in Biomedical Research

Join us for a special edition of our See the Hidden workshop series. In collaboration with leading experts from Imperial and across the UK, we will explore how multiplex optical imaging is…

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.
Esophageal tissue with a squamous cell carcinoma labelled with the 4 biomarkers PanCk, DAPI, NaKATPase, and Vimentin.

Discover how Multiplexed Bioimaging can Advance Cancer Research

Explore multiplexing with up to 60 biomarkers, enabling advanced tumor imaging approaches to gather precise, spatially-resolved single-cell data that helps enhance cancer research and clinical…
Colon adenocarcinoma with 13 biomarkers shown

Hyperplex Cancer Tissue Analysis at Single Cell Level with Cell DIVE

The ability to study how lymphoma cell heterogeneity is influenced by the cells’ response to their microenvironment, especially at the mutational, transcriptomic, and protein levels. Protein…
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