- Provides robust stitching of tiled microscope images on a regular grid, mostly following algorithm by MIST but improved in several points.
- Supports missing tiles.
You can install M2Stitch via pip from PyPI:
$ pip install m2stitchPlease see the Usage for details.
Contributions are very welcome. To learn more, see the Contributor Guide.
Distributed under the terms of the MIT license, M2Stitch is free and open source software.
If you encounter any problems, please file an issue along with a detailed description.
This program is an unofficial implementation of MIST stitching algorithm on GitHub. The original paper is here.
This project was generated from @cjolowicz's Hypermodern Python Cookiecutter template.
If you use this program for your research, please cite it and help us build more.
@misc{m2stitch,
author = {Yohsuke T. Fukai},
title = {m2stitch},
year = {2021},
url = {https://doi.org/10.5281/zenodo.5139596},
}One might also be interested in another Python-written stitching tool ASHLAR (bioRxiv), with a comparable performance to that of MIST and additional features.