IHC Tumor-Stroma

Segment tumor and stroma by morphology, detect specifically stained cell populations, segment cells into nucleus, perinuclear area, and/or cytoplasm, and measure up to 20 intensity, statistic, and morphometric parameters per compartment.

metastructures

single-cell analysis

tumor microenvironment

TMA, tumor, stroma, immunohistochemistry, brightfield

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The IHC Tumor-Stroma App combines the segmentation of tumor and stroma (based on the morphology) and the detection of specifically stained cell populations. It segments the cells into nucleus, and/or perinuclear area and/or cytoplasm. Each segmented cell compartment in tumor and/or stroma is measured for up to 20 intensity, statistic and morphometric parameters which can be displayed in scattergrams and histograms and exported.

Ingruber J, Dudas J, Sprung S, Lungu B, Mungenast F. Interplay between Partial EMT and Cisplatin Resistance as the Drivers for Recurrence in HNSCC. Biomedicines. 2022;10(10):2482. Published 2022 Oct 5. doi:10.3390/biomedicines10102482

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Nuclei detection

Tumor detection

Tumor cell detection

tumor microenvironment

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Custom App development

Perfectly tailored image analysis solutions for your research.

You have a specific research question that needs to be answered? We offer custom development of image analysis pipelines for specific tasks, be it detection of cellular phenotypes or quantification of tissue structures. After discussing your goals with one of our experts, you will get a ready-to-use App and be a step closer to an impactful publication.

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