top of page

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.


Quantification of immune cells

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


Available in PanCancer

Unlimited inferences can be made for PanCancer


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

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


Patient stratification based on quantification data

Our AI can quantify TILs score in arbitrarily selected area

スクリーンショット 2024-05-25 7.10.58.png
スクリーンショット 2024-05-25 7.11.07.png


  • 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)


Contact US

Contact Us for Collaboration opportunities,
Product Information, technical Assistance
or Demo Request

bottom of page