Metadata-Version: 2.4
Name: castalign
Version: 0.2.0
Summary: Coppafish, Antibody Staining, and Two-photon alignment: 3D nonlinear alignment for microscopy and in vivo imaging
Home-page: https://github.com/mwshinn/castalign
Author: Max Shinn
Author-email: m.shinn@ucl.ac.uk
Maintainer: Max Shinn
Maintainer-email: m.shinn@ucl.ac.uk
License: MIT
Classifier: Topic :: Scientific/Engineering
Classifier: Topic :: Scientific/Engineering :: Bio-Informatics
Classifier: Topic :: Scientific/Engineering :: Visualization
Classifier: Topic :: Multimedia :: Graphics
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Development Status :: 4 - Beta
Requires-Python: >=3.7
Description-Content-Type: text/markdown
License-File: LICENSE.txt
Requires-Dist: numpy
Requires-Dist: scipy
Requires-Dist: napari
Requires-Dist: magicgui
Requires-Dist: scikit-image
Requires-Dist: imageio
Requires-Dist: imageio-ffmpeg
Requires-Dist: threadpoolctl
Dynamic: author
Dynamic: author-email
Dynamic: classifier
Dynamic: description
Dynamic: description-content-type
Dynamic: home-page
Dynamic: license
Dynamic: license-file
Dynamic: maintainer
Dynamic: maintainer-email
Dynamic: requires-dist
Dynamic: requires-python
Dynamic: summary

# 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, you need the following packages:

> pip install numpy scipy napari magicgui vispy scikit-image imageio imageio-ffmpeg

# Usage

See the [tutorial](https://castalign.readthedocs.io/en/latest/tutorial/) in the [documentation](https://castalign.readthedocs.io/en/latest/).
