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Take a look at all our upcoming congresses, exhibitions, webinars, and workshops and join us at one of our next events!

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29 Mar 2024
Spheroid stained with Cyan: Dapi nuclear countertain; Green AF488 Involucrin; Orange AF55 Phalloidin Actin; Magenta AF647 CK14.

Notable AI-based Solutions for Phenotypic Drug Screening

Learn about notable optical microscope solutions for phenotypic drug screening using 3D-cell culture, both planning and execution, from this free, on-demand webinar.
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…
Cancer cells

The Role of Iron Metabolism in Cancer Progression

Iron metabolism plays a role in cancer development and progression, and modulates the immune response. Understanding how iron influences cancer and the immune system can aid the development of new…
Pancreatic Ductal Adenocarcinoma with 11 cancer immunity and progression biomarkers shown –CD3, CD4, CD20, CD31, CD45, Collagen, HLA1, NaKATPase, PCK26, SMA1, and Vimentin.

Open Multiplexing: Transforming Tissue Research with Cell DIVE

Watch this webinar to discover how open multiplexing adapts to meet the needs of your multiplexing imaging study.
H&E stained micrograph of an intramucosal esophageal adenocarcinoma (left) enhanced with Aivia’s Pixel Classifier (right)

Simplifying the Cancer Biology Image Analysis Workflow

As cancer biology data sets grow, so do the challenges in microscopy image analysis. Aivia experts cover how to overcome these challenges with AI.
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