Unprecedented resolution of the tumor microenvironment (TME) from H&E, powered by AI.
PathExplore is an AI-powered panel of histopathology features that spatially characterize the tumor microenvironment (TME) with single-cell resolution1
Pixel-Level Analysis of Gigapixel Images
PathExplore’s underlying AI models segment, detect, and classify millions of cells across tissue regions of the entire hematoxylin and eosin (H&E) whole slide image (WSI).
HIFs – Structured, Standardized, and Scalable Analysis of the TME
Human interpretable features (HIFs) are standardized metrics that characterize the cell and tissue composition of each WSI. PathExplore delivers >600 unique HIFs per sample, including counts of cells and their spatial distribution across tissue regions, to enable streamlined and structured analysis of the TME.
Example Human Interpretable Features:
Area of Tumor Tissue
Total Number of Lymphocytes
Density of Lymphocytes in Stroma (Stromal TILs)
Ratio of Lymphocytes to Fibroblasts Near the Epithelial-Stromal Interface
Accelerate precision oncology research by combining the accessibility of existing H&Es with the unprecedented resolution of AI
PathExplore delivers hundreds of standardized human interpretable features (HIFs) to quantitatively characterize the TME
HIFs provide structured, histopathological data to enable explorations of tumor biology at multiple scales by seamlessly linking to complementary molecular data
Dig deeper into the TME with expanded AI models including collagen and fibrosis characterization, immune phenotyping, and tertiary lymphoid structure (TLS) identification