Journal: iScience

Article Title: SpaHE-Infil: A spatial heterogeneity framework for decoding TME infiltration from H&E-stained slides

doi: 10.1016/j.isci.2026.115155

Figure Lengend Snippet: Microscopy-optimized spatial reconstruction with mIHC benchmarking (A) Algorithm validation and optimization using colon cancer H&E sections. Scale bars, 100 μm. (B and C) Enhanced immune cell detection sensitivity after TME_ADJ calibration. (D) Reproducibility of sensitivity improvement in pancreatic cancer. Scale bars, 100 μm. (E and F) Spatial signals of tumor and microenvironmental cells identified by the algorithm. (G) Immunomarker expression detected by mIHC on consecutive sections. Scale bars, 100 μm. (H) mIHC signal distribution. Each dot represents a cell, colored by its mIHC marker (DAPI: gray; CD8: red; CD68: green; Vimentin: cyan; Vimentin: yellow; CD56: purple) and signal intensity (gradient: 2×10 4 to 10×10 4 ), showing spatial heterogeneity of marker expression across the tissue section. (I) Cell type proportion comparison. Bar chart showing relative proportions of NK cells, macrophages, CD8 + T cells, fibroblasts, and tumor cells, quantified by SpaHE-Infil and validated by mIHC, demonstrating consistency between computational inference and experimental staining. (J and K) Spatial signals in ovarian cancer H&E sections. Scale bars, 100 μm. (L and M) Spatial signals in gastric cancer H&E sections. Scale bars, 100 μm.

Article Snippet: CD56 primary antibody , Cell Signaling Technology , #99746; RRID: AB_2868490.

Techniques: Microscopy, Biomarker Discovery, Expressing, Marker, Comparison, Staining