2D and 3D image deconvolution
Project description
napari-sdeconv
2D and 3D image deconvolution plugins. Available methods are:
- Wiener (2D and 3D)
- Richardson-Lucy (2D and 3D)
- Spitfire - hessian sparse regularized deconvolution (2D and 3D)
Available plugins to create PSFs are:
- PSF Gaussian (2D)
- PSF Gibson-Lanni (3D)
This napari plugin was generated with Cookiecutter using with @napari's cookiecutter-napari-plugin template.
Installation
You can install napari-sdeconv
via pip:
pip install napari-sdeconv
The deconvolution depends on FFTW c++ library. FFTW must be installed for the deconvolution plugin to work. The easiest method to install FFTW is to use conda:
conda install -c conda-forge fftw
Contributing
Contributions are very welcome. Tests can be run with tox, please ensure the coverage at least stays the same before you submit a pull request.
License
Distributed under the terms of the GNU GPL v3.0 license, "napari-sdeconv" is free and open source software
Issues
If you encounter any problems, please file an issue along with a detailed description.
Project details
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