Individual skill
histolab
Extracts and preprocesses whole-slide histology image tiles with Histolab. Use for WSI inspection, tissue masks, random/grid/score-based tile extraction, H&E stain normalization, and tile dataset preparation. For multiplexed imaging or deep learning inference pipelines, use pathml.
skills/histolab/SKILL.md
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# Histolab
## When to use
Use Histolab to inspect WSI metadata, identify tissue, extract image tiles, and
standardize H&E staining. Its masks and scores are image-processing heuristics;
they do not diagnose cancer, count individual cells, or establish image quality.
## Installation
Histolab 0.7.0 remains the latest published release as of the review date. Its
[release constraints](https://github.com/histolab/histolab/blob/v0.7.0/pyproject.toml)
require Python <3.12, NumPy <=1.24.4, scikit-image <0.19.4, SciPy <1.10.1,
Pillow <11, and openslide-python 1.3.1. Keep this stack isolated from modern