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The cutting-edge technology for
quantifying tumor microenvironment

Training data generated
by immunofluorescence staining

Predict from morphological features better than anywhere else with massively trained wet-based learning models.

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Quantification of immune cells

Counting the number of  lymphocytes, plasma cells, fibroblasts in Stroma, etc.

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Available in PanCancer

Unlimited inferences can be made for PanCancer

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Understanding the compositional content within the ROI (Region of Interest) 

Users can freely select regions and keep track of cell counts and percentages.

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Patient stratification based on quantification data

Our AI can quantify TILs score in arbitrarily selected area

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Publications

  • AI-based quantification of TILs using hematoxylin and eosin and immunohistochemistry-stained slides in triple-negative breast cancer. American Society of Clinical Oncology (2024)

  • Deep learning-based quantitative assessment of tumor-infiltrating lymphocytes from hematoxylin and eosin-stained slides in triple-negative breast cancer: A prognostic study. American Society of Clinical Oncology (2024)

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Product Information, technical Assistance
or Demo Request

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