histolab
byk-dense-ai· 237 skills
Lightweight WSI tile extraction and preprocessing. Use for basic slide processing, tissue detection, tile extraction, and stain normalization for H&E images. Best for simple pipelines, dataset preparation, and quick tile-based analysis. For advanced spatial proteomics, multiplexed imaging, or deep learning pipelines use pathml.
How to install histolab?
k-dense-ai/scientific-agent-skills/histolab
$npx -y skills add k-dense-ai/scientific-agent-skills --skill histolabInstalls into the current project.
›Prefer a prompt? Paste this to your agent
Run `npx skills use "https://github.com/k-dense-ai/scientific-agent-skills" --skill "k-dense-ai/scientific-agent-skills/histolab"` and follow the generated skill instructions now. Read its complete output, redirecting it to a temporary file first if necessary. Resolve relative paths from the supporting-files directory it provides.
Use the skills in "https://github.com/k-dense-ai/scientific-agent-skills" that are relevant to the current task. Run `npx skills add "https://github.com/k-dense-ai/scientific-agent-skills"` and select the relevant skills, then follow their instructions.
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