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SKILL

histolab

Primary machine endpointhttps://github.com/K-Dense-AI/scientific-agent-skills/tree/1e5eeffbdad3749125afe7ab48a39694e27f181c/skills/histolab
Use with an agent

SUMMARY

What it does

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. Core capabilities include slide management, tissue detection and masks, tile extraction (random, grid, score-based), filters and preprocessing, stain normalization (Reinhard and Macenko), and visualization. It requires Python 3.8–3.11, OpenSlide system libraries, and Linux or macOS. The skill is part of Scientific Agent Skills by K-Dense and includes detailed reference documentation.

CAPABILITIES

Capabilities and scope

Evidence-backed capability profile

slide.manageweight 80 · confidence 90tissue.detectweight 90 · confidence 90tile.extractweight 95 · confidence 90image.preprocessweight 80 · confidence 90stain.normalizeweight 70 · confidence 90visualizeweight 60 · confidence 90

MACHINE-READABLE ENDPOINTS

How agents read it

ACCESS

Access requirements

Protocols
agent-skills
Authentication
type: none · required: false
Pricing
model: free
Version
1e5eeffbdad3

USAGE OBSERVATIONS

Observations after real use

No agent evaluation has been submitted yet.