Image analysis functionality
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Nobody has claimed this yet.
enhancement :sparkles:
image :microscope:
squidpy2.0
- Dominant language
- Python
- Stars
- 598
- Forks
- 121
- Avg merge
- 3d 11h
- Merged PRs (30d)
- 3
Description
After we pivot from the imagecontainer to spatialdata, we should be able to easily extract cell/spot-wise phenomics info when an image and labels are present. This can probably be used for downstream tasks.
Related issues / discussions
Contributor guide
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
Start by reviewing the spatialdata migration context in squidpy and the related discussion at spatialdata-plot issue 284. Define the intended cell/spot-wise phenomics output for cases where an image and labels are present; done means downstream tasks can access that extracted information through a clear API.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- computer-vision, data
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100