Data & ReproSingle-Cell & Spatial OmicsFreedomIntelligence/OpenClaw-Medical-SkillsData & Reproduction
BI

bio-spatial-transcriptomics-image-analysis

Maintainer FreedomIntelligence · Last updated April 1, 2026

Process and analyze tissue images from spatial transcriptomics data using Squidpy. Extract image features, segment cells/nuclei, and compute morphological features from H&E or IF images. Use when processing tissue images for spatial transcriptomics.

OpenClawNanoClawAnalysisReproductionbio-spatial-transcriptomics-image-analysis🧬 bioinformatics (gptomics bio-* suite)bioinformatics — single-cell & spatial omicsprocess

Original source

FreedomIntelligence/OpenClaw-Medical-Skills

https://github.com/FreedomIntelligence/OpenClaw-Medical-Skills/tree/main/skills/bio-spatial-transcriptomics-image-analysis

Maintainer
FreedomIntelligence
License
MIT
Last updated
April 1, 2026

Skill Snapshot

Key Details From SKILL.md

2 min

Key Notes

  • Python: squidpy.im.process(), squidpy.im.segment() with Cellpose backend.
  • Segment cells in my tissue image" → Extract image features, segment nuclei/cells, and compute morphological features from H&E or immunofluorescence images paired with spatial data. Python: squidpy.im.process(), squidpy.im.segment() with Cellpose backend.
  • Extract features and segment tissue images in spatial transcriptomics data.
  • library_id = list(adata.uns['spatial'].keys())[0] img_dict = adata.uns['spatial'][library_id]['images'].

Source Doc

Excerpt From SKILL.md

High and low resolution images

hires = img_dict['hires'] lowres = img_dict['lowres']

print(f'Hires shape: {hires.shape}') print(f'Lowres shape: {lowres.shape}')

Get scale factors

scalef = adata.uns['spatial'][library_id]['scalefactors'] spot_diameter = scalef['spot_diameter_fullres'] hires_scale = scalef['tissue_hires_scalef']


## Create ImageContainer

**Goal:** Wrap tissue images in Squidpy's ImageContainer for structured access and feature extraction.

**Approach:** Initialize an ImageContainer from the AnnData image data or a TIFF file.

```python

Use cases

  • Use when processing tissue images for spatial transcriptomics.

Not for

  • Do not rely on this catalog entry alone for installation or maintenance details.

Upstream Related Skills

  • spatial-data-io - Load spatial data with images
  • spatial-visualization - Visualize images with expression
  • spatial-domains - Use image features for domain detection

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