Coppafish, Antibody Staining, and Two-photon alignment: 3D alignment framework for microscopy and in vivo imaging
Project description
CASTalign: Coppafish, Antibody Staining, and Two-photon alignment
CASTalign allows you to register 3D microscopy images to each other and to in vivo two-photon imaging. It is optimised to allow registration between CoppaFISH 3D, antibody staining (e.g., immunofluorescence), 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.
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file castalign-0.3.1.tar.gz.
File metadata
- Download URL: castalign-0.3.1.tar.gz
- Upload date:
- Size: 50.0 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.1.0 CPython/3.12.7
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
c00d93f9b64bcd58cc0ef8cb0bac3fad1c53a1643b024451a3b9347dffae60e3
|
|
| MD5 |
517f87e87968839ff882c2bfc5a5cf5f
|
|
| BLAKE2b-256 |
20825b3b737d7d4d0e228906f7a44ad6d935d861337ddeccc88b0730d3685596
|
File details
Details for the file castalign-0.3.1-py3-none-any.whl.
File metadata
- Download URL: castalign-0.3.1-py3-none-any.whl
- Upload date:
- Size: 52.1 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.1.0 CPython/3.12.7
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
c095395506ed4aebe3e4642604bc66163433791bf19c8b2c8a045636f1ac94c9
|
|
| MD5 |
d2fb9627a7db7c4724793c53b715bea7
|
|
| BLAKE2b-256 |
fa7dcdd4edb43d9827dcb24ce29b16a4f36bc834133ffd34f908e268014dd906
|
