Clinical-grade solution that assists pathologists in improving the detection of gastric cancer and other clinical findings.

Clinical-grade solution that assists pathologists in improving the detection and grading of prostate cancer.

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Automatically detect and classify ER/PR-stained tumor cells in WSIs of breast tissue within predefined regions of interest. Tumor cells are classified as not-stained (tumor negative) or stained (tumor positive). A corresponding positivity score is provided.

Automatically detect and classify HER2-stained tumor cells in WSIs of breast tissue within predefined regions of interest. Tumor cells are classified according to membrane staining as not-stained, partially stained, complete but weakly stained, complete and strongly stained. Tumor cells exhibiting only nuclear or cytoplasmic are counted as unspecified.. A HER2 score is provided.

Automatically detect and classify Ki-67 stained tumor cells within WSIs of breast tissue and identification of up to four tumor regions of interest according to the global scoring method. Tumor cells are classified as not-stained or stained. A global unweighted score and a global weighted score is provided.

Pan-tumor application that automatically detects regions of tumor and calculates HER2 expression.

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Automatically identify tumorous cells in WSIs of lung tissue and quantify them to support PD-L1 scoring.

Automatically identify tumorous cells in WSIs of urothelial tissue and quantify them to support PD-L1 scoring.