# Cyclic ImmunoFluorescence Automatic Analysis Pipeline
- This pipeline takes as input a set of cyclic immunofluorescence (cycIF) images and performs the following operations:
Registration
Nuclei segmentation (using CellPose or own trained Mask R-CNN model)
Background subtraction
Compute each marker exclusiveness to be used with Restore
Use Restore when possible for automatic gating (optionnal)
Features extraction
Cell type computation
Automatic visualization using Napari
Quality control (tissue loss and Restore based)
For installation, more information/details and full examples with code and data, visit: https://www.thibault.biz/Research/cycIFAAP/cycIFAAP.html
Metadata
Release files for cycIFAAP 5.7.7
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| cycIFAAP-5.7.7.tar.gz | 60.9 MB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| cycIFAAP-5.7.7-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 121.8 MB
Release files / cycIFAAP-5.7.7.tar.gz
| Download URL | cycIFAAP-5.7.7.tar.gz |
|---|---|
| Size | 60.9 MB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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twine/4.0.2 CPython/3.9.12
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Release files / cycIFAAP-5.7.7-py3-none-any.whl
| Download URL | cycIFAAP-5.7.7-py3-none-any.whl |
|---|---|
| Size | 60.9 MB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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twine/4.0.2 CPython/3.9.12
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