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histolab - Process whole slide pathology images

Processes whole slide pathology images by detecting tissue, extracting tiles, applying filters, and preparing datasets for computational pathology.

Tags

Updated: 2026-10-06

Capabilities

Typical Inputs

Typical Outputs

What this skill does

  • Load whole slide images
  • Inspect slide metadata
  • Generate slide thumbnails
  • Detect tissue regions
  • Create tissue masks
  • Extract tiles randomly
  • Extract tiles on grids
  • Rank informative tiles
  • Apply image filters
  • Compose preprocessing pipelines
  • Visualize masks and tiles
  • Prepare deep learning datasets

Inputs

  • Whole slide image files
  • Tile extraction parameters
  • Tissue mask configuration
  • Filter pipeline configuration
  • Scoring functions
  • Output paths

Outputs

  • Slide metadata
  • Slide thumbnails
  • Tissue masks
  • Extracted image tiles
  • Tile location previews
  • Tile extraction reports
  • Visualization figures
  • Prepared image datasets

Requirements

  • Python environment
  • histolab package
  • Supported WSI file formats

Source

  • Spec: SKILL.md

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digital pathology
whole slide imaging
histopathology
tissue segmentation
tile extraction
image preprocessing
deep learning datasets
Load whole slide images
Inspect slide metadata
Generate slide thumbnails
Detect tissue regions
Whole slide image files
Tile extraction parameters
Tissue mask configuration
Slide metadata
Slide thumbnails
Tissue masks