# openslide-python

> Use this tool when you need to interact with whole-slide images, such as those used in digital pathology, to perform tasks like image processing and analysis. It solves problems related to accessing and manipulating large microscopy images, allowing for use cases like cancer diagnosis and medical research. The openslide-python library provides an interface to read and write whole-slide images, accepting file paths as input and outputting image data for further processing.

Canonical page: https://skillsregistry.net/skills/sunjoonkim-openslide-python  
JSON: https://api.skillsregistry.net/v1/skills/sunjoonkim-openslide-python

## Trust

- **Trust score (0–1):** 0.73
- **Verification tier:** scanned
- **Last scanned:** 2026-09-02

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** other
- **Updated:** 2026-09-02

## Source

- **Source listing:** [Smithery](https://smithery.ai/server/sunjoonkim/openslide-python)
- **Repository:** <https://github.com/sunjoonkim/openslide-python>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "sunjoonkim-openslide-python"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/sunjoonkim-openslide-python` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/sunjoonkim-openslide-python/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt