Computational pathology toolkit for analyzing whole-slide images (WSI) and multiparametric imaging data. Use this skill when working with histopathology slides, H&E stained images, multiplex immunofluorescence (CODEX, Vectra), spatial proteomics, nucleus detection/segmentation, tissue graph construction, or training ML models on pathology data. Supports 160+ slide formats including Aperio SVS, NDPI, DICOM, OME-TIFF for digital pathology workflows.
WHAT YOU BECOME
Perfect for these scenarios
Calculate alpha/beta diversity metrics and visualize microbial community structures
Build and analyze evolutionary relationships using Newick formatted data
Perform PCoA and PERMANOVA to explore patterns in biological datasets
Import, analyze, and manipulate FASTA sequences for comparative genomics
MEASURED GAIN
Proven benefits and measurable impact
Streamline alpha/beta diversity analysis with optimized scikit-bio algorithms
Accelerate tree construction and visualization with integrated tools
Simplify complex microbiome data handling with unified I/O functions
WHAT YOU GET
Files, tags and the three-step install
Tip: Read the documentation and the code before first use, so you know what it does and which permissions it needs.
NEXT SCRIPTS
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