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Tile extraction from histology slides v1.0.0

Use this resource to extract and preprocess tiles from whole-slide images

New

  • 401 downloads
  • 203 likes
  • 121 saves

Free

Install with the CLI

In a terminal, from the folder you want:

npx --yes palatekit@latest install histology-tile-extraction

With no option, the skill goes to ~/.agents/skills/; add --agent claude-code (or codex, cursor…) to target an agent.

First time: connect the CLI with

npx --yes palatekit@latest login

The agent reads slide metadata, computes a tissue mask, then extracts tiles with the chosen strategy. You get a tile dataset ready for training and quality checks.

Mostly picked by

Updated November 2, 2026

Card for the “Tile extraction from histology slides” skill

Details

Generates with
Your agent's model
Licence
Apache-2.0

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What you get

  • SKILL.md: installation, workflow and scientific checks
  • references/: slide management, masks, filters, extraction and visualization

Good fit for

  • You are preparing a slide dataset for a model
  • You want to normalize staining before extraction

Not for

    Tags

    • histology
    • tiles
    • WSI

    About

    You say

    “Extract 256 px tiles from the tissue areas of this slide on a regular grid.”

    Card for the “Tile extraction from histology slides” skill

    Skill published by k-dense-ai under the Apache-2.0 license, delivered in its original version.

    Show more

    How to use it

    1. Install the skill in your agent's skills folder
    2. Ask your agent to extract and preprocess tiles from whole-slide images
    3. Review and adjust the result

    Content preview

    Files

    • LICENSE1.1 KB
    • NOTICE-PALATEKIT.md0.5 KB
    • references/core_capabilities.md1.8 KB
    • references/filters_preprocessing.md7.6 KB
    • references/slide_management.md6.2 KB
    • references/tile_extraction.md7.7 KB
    • references/tissue_masks.md5.8 KB
    • references/typical_workflows.md4.7 KB
    • references/visualization.md6.6 KB
    • SKILL.md8.7 KB

    Origin and licence

    Listed unmodified

    Author
    k-dense-ai
    Source
    github.com/k-dense-ai/scientific-agent-skills/tree/5f2bc0341354fd5590aef76a533ada1e1e5b4e62/skills/histolab
    Licence
    Apache-2.0

    Notice

    « histolab » (k-dense-ai, Apache-2.0) livré dans sa version d'origine : fiche en français et en anglais par PalateKit.

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