CASTalign: Coppafish, Antibody Staining, and Two-photon alignment
CASTalign allows you to register hundreds of 3D microscopy images to each other and to in vivo two-photon imaging. It is optimised to allow registration between large datasets including coppaFISH 3D, immunofluorescence labelling, and in vivo imaging.
Installation
To install:
pip install castalign
You may also want to install (optional) GPU acceleration with cupy. Depending on the version of CUDA, install one of these:
pip install cupy-cuda13x # For CUDA 13.x
pip install cupy-cuda12x # Fox CUDA 12.x
Alternatively, you can install from github:
pip install git+https://github.com/mwshinn/castalign.git
Usage
See the tutorial in the documentation.
1 maintainer
Metadata
1 maintainer
Release files for castalign 0.3.2
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Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| castalign-0.3.2.tar.gz | 50.3 kB | Without provenance | Details for castalign-0.3.2.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| castalign-0.3.2-py3-none-any.whl | Python 3 | none | any | Details for castalign-0.3.2-py3-none-any.whl |
Total release size: 102.6 kB
Release files / castalign-0.3.2.tar.gz
| Download URL | castalign-0.3.2.tar.gz |
|---|---|
| Size | 50.3 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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Release files / castalign-0.3.2-py3-none-any.whl
| Download URL | castalign-0.3.2-py3-none-any.whl |
|---|---|
| Size | 52.3 kB |
| Tags | Python 3 |
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SHA-256 checksum How to use checksums |
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twine/6.1.0 CPython/3.12.7
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Security for castalign 0.3.2
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