Individual skill
histolab
Lightweight WSI tile extraction and preprocessing. Use for basic slide processing tissue detection, tile extraction, stain normalization for H&E images. Best for simple pipelines, dataset preparation, quick tile-based analysis. For advanced spatial proteomics, multiplexed imaging, or deep learning pipelines use pathml.
skills/07-临床医学与精准医疗/histolab/SKILL.md
Source commit df5a498a81e0f9c8f79d814446dcf9e9b8f68888
What was checked
- Matches the observed repository HEAD
- Yes
- Scanner rules are current
- Yes
- Repository scan complete
- No
- Skill scan complete
- No
- Observed behavior
- Network or broad shell
- Last checked
- Nov 10, 2026
These are observations at the recorded commit, not a guarantee of safety. Review the source before running it.
Install this skill
Choose an agent in your Stack or copy a command below. Commands fetch the pinned commit and copy only this skill directory. Existing destinations are refused. Copying a command does not install anything.
An install command is unavailable: current rules, complete repository and skill scans, an eligible behavior level and a permitted license are required.
Repository context
- Repository stars (not skill ratings)
- 1,028
- Repository last updated
- Jul 20, 2026
- License
- MIT
Observed agent integration: No specific integration evidence. Standard SKILL.md installation does not imply verified compatibility.
- academic Repository topic
- ai-assistant Repository topic
- arxiv Repository topic
- claude-code Repository topic
- google-scholar Repository topic
- literature-review Repository topic
- openclaw Repository topic
- paper-search Repository topic
- pubmed Repository topic
- skill Repository topic
- education Derived category
Files and excerpt
File metadata and permitted, redacted excerpts come from the recorded scan. Source links are pinned to that commit.
Browse files
SKILL.mdcore · 20,152 bytesSKILL.mdcore · 20,152 bytesSKILL.mdcore · 20,152 bytesSKILL.mdcore · 20,152 bytesSKILL.mdcore · 20,152 bytesSKILL.mdcore · 20,152 bytesSKILL.mdcore · 20,152 bytesSKILL.mdcore · 20,152 bytesSKILL.mdcore · 20,152 bytesSKILL.mdcore · 20,152 bytesSKILL.mdcore · 20,152 bytesSKILL.mdcore · 20,152 bytesSKILL.mdcore · 20,152 bytesSKILL.mdcore · 20,152 bytesreferences/filters_preprocessing.mddoc · 12,700 bytesreferences/slide_management.mddoc · 4,701 bytesreferences/tile_extraction.mddoc · 11,297 bytesreferences/tissue_masks.mddoc · 7,232 bytesreferences/visualization.mddoc · 13,970 bytes
Read excerpt
# Histolab
## Overview
Histolab is a Python library for processing whole slide images (WSI) in digital pathology. It automates tissue detection, extracts informative tiles from gigapixel images, and prepares datasets for deep learning pipelines. The library handles multiple WSI formats, implements sophisticated tissue segmentation, and provides flexible tile extraction strategies.
## Installation
```bash
uv pip install histolab
```
## Quick Start