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histolab
Maintainer K-Dense Inc. · Last updated April 1, 2026
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.
Original source
K-Dense-AI/claude-scientific-skills
https://github.com/K-Dense-AI/claude-scientific-skills/tree/main/scientific-skills/histolab
- Maintainer
- K-Dense Inc.
- License
- Apache-2.0 license
- Last updated
- April 1, 2026
Skill Snapshot
Key Details From SKILL.md
Key Notes
- 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.
- slide = Slide("slide.svs", processed_path="output/").
Source Doc
Excerpt From SKILL.md
Quick Start
Basic workflow for extracting tiles from a whole slide image:
from histolab.slide import Slide
from histolab.tiler import RandomTiler
## Configure tiler
tiler = RandomTiler(
tile_size=(512, 512),
n_tiles=100,
level=0,
seed=42
)
## Preview tile locations
tiler.locate_tiles(slide, n_tiles=20)
Use cases
- Use for basic slide processing tissue detection, tile extraction, stain normalization for H&E images.
- Use histolab for clinical, translational, or medical research tasks.
- Apply histolab when healthcare-specific guidance is required.
Not for
- Do not rely on this catalog entry alone for installation or maintenance details.
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