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Project description

TMA Dearraying for Spatial Transcriptomics

PyPI version Documentation Status

STile helps segment tissue microarray (TMA) cores from single-cell spatial transcriptomics data and prepare platform-specific outputs for downstream analysis.

What it does

  • Detects tissue cores by clustering cell centroids with HDBSCAN and refining core labels for Vizgen, Xenium, and CosMx outputs.

Main entry points

  • stile identify_tissue_cores: Load a .h5ad, cluster cells, assign cores, and save core plots.

Quickstart

# Build AnnData and centroid CSV from a platform run directory
stile run

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