lib-histolab
OfficialProcess whole slide images efficiently.
Data & Analytics#deep learning#image processing#histopathology#whole slide imaging#digital pathology#tile extraction#wsi
Authorbiomaps-infra
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill automates the complex and time-consuming process of analyzing large whole slide images (WSIs) in digital pathology, enabling faster research and diagnostics.
Core Features & Use Cases
- WSI Loading & Management: Easily load, inspect, and manage various WSI formats.
- Tissue Detection & Masking: Automatically identify and segment tissue regions, excluding background.
- Tile Extraction: Extract smaller, manageable tiles using random, grid, or score-based strategies.
- Image Filtering & Preprocessing: Apply a suite of filters for stain normalization, artifact removal, and quality control.
- Visualization: Preview masks, tile locations, and extraction results.
- Use Case: Researchers can use this Skill to extract thousands of high-resolution tiles from gigapixel pathology slides for training deep learning models, significantly accelerating the development of AI-powered diagnostic tools.
Quick Start
Use the lib-histolab skill to extract 100 random 512x512 pixel tiles from the slide file 'slide.svs' and save them to the 'output/random_tiles/' directory.
Dependency Matrix
Required Modules
None requiredComponents
scriptsreferences
💻 Claude Code Installation
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Please help me install this Skill: Name: lib-histolab Download link: https://github.com/biomaps-infra/blender-opencode/archive/main.zip#lib-histolab Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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