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https://img.shields.io/pypi/pyversions/m2stitch\n   :target: https://pypi.org/project/m2stitch\n   :alt: Python Version\n.. |License| image:: https://img.shields.io/pypi/l/m2stitch\n   :target: https://opensource.org/licenses/MIT\n   :alt: License\n.. |Read the Docs| image:: https://img.shields.io/readthedocs/m2stitch/latest.svg?label=Read%20the%20Docs\n   :target: https://m2stitch.readthedocs.io/\n   :alt: Read the documentation at https://m2stitch.readthedocs.io/\n.. |Tests| image:: https://github.com/yfukai/m2stitch/workflows/Tests/badge.svg\n   :target: https://github.com/yfukai/m2stitch/actions?workflow=Tests\n   :alt: Tests\n.. |Codecov| image:: https://codecov.io/gh/yfukai/m2stitch/branch/master/graph/badge.svg\n   :target: https://codecov.io/gh/yfukai/m2stitch\n   :alt: Codecov\n.. |pre-commit| image:: https://img.shields.io/badge/pre--commit-enabled-brightgreen?logo=pre-commit\u0026logoColor=white\n   :target: https://github.com/pre-commit/pre-commit\n   :alt: pre-commit\n.. |Black| image:: https://img.shields.io/badge/code%20style-black-000000.svg\n   :target: https://github.com/psf/black\n   :alt: Black\n.. |Zenodo| image:: https://zenodo.org/badge/DOI/10.5281/zenodo.5139596.svg\n   :target: https://doi.org/10.5281/zenodo.5139596\n   :alt: Zenodo\n\nFeatures\n--------\n\n- Provides robust stitching of tiled microscope images on a regular grid, mostly following algorithm by MIST_ but improved in several points.\n- Supports missing tiles.\n\nInstallation\n------------\n\nYou can install *M2Stitch* via pip_ from PyPI_:\n\n.. code:: console\n\n   $ pip install m2stitch\n\n\nUsage\n-----\n\nPlease see the Usage_ for details.\n\n\nContributing\n------------\n\nContributions are very welcome.\nTo learn more, see the `Contributor Guide`_.\n\n\nLicense\n-------\n\nDistributed under the terms of the `MIT license`_,\n*M2Stitch* is free and open source software.\n\n\nIssues\n------\n\nIf you encounter any problems,\nplease `file an issue`_ along with a detailed description.\n\n\nCredits\n-------\n\nThis program is an unofficial implementation of MIST_ stitching algorithm on GitHub_. The original paper is here_.\n\nThis project was generated from `@cjolowicz`_'s `Hypermodern Python Cookiecutter`_ template.\n\n.. _MIST: https://pages.nist.gov/MIST\n.. _GitHub: https://github.com/usnistgov/MIST\n.. _here: https://github.com/USNISTGOV/MIST/wiki/assets/mist-algorithm-documentation.pdf\n.. _@cjolowicz: https://github.com/cjolowicz\n.. _Cookiecutter: https://github.com/audreyr/cookiecutter\n.. _MIT license: https://opensource.org/licenses/MIT\n.. _PyPI: https://pypi.org/\n.. _Hypermodern Python Cookiecutter: https://github.com/cjolowicz/cookiecutter-hypermodern-python\n.. _file an issue: https://github.com/yfukai/m2stitch/issues\n.. _pip: https://pip.pypa.io/\n.. github-only\n.. _Contributor Guide: CONTRIBUTING.rst\n.. _Usage: https://m2stitch.readthedocs.io/en/latest/usage.html\n\nCitation\n--------\n\nIf you use this program for your research, please cite it and help us build more.\n\n.. code-block:: bib\n\n   @misc{m2stitch,\n      author = {Yohsuke T. Fukai},\n      title = {m2stitch},\n      year  = {2021},\n      url   = {https://doi.org/10.5281/zenodo.5139596},\n   }\n\nOther Python stitching programs\n-------------------------------\nOne might also be interested in another Python-written stitching tool\nASHLAR_ (bioRxiv_),\nwith a comparable performance to that of MIST and additional features.\n\n.. _ASHLAR: https://github.com/labsyspharm/ashlar\n.. _bioRxiv: https://www.biorxiv.org/content/10.1101/2021.04.20.440625v1\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fyfukai%2Fm2stitch","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fyfukai%2Fm2stitch","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fyfukai%2Fm2stitch/lists"}