Skip to main content

M2Stitch

Project description

PyPI Python Version License

Read the documentation at https://m2stitch.readthedocs.io/ Tests Codecov

pre-commit Black Zenodo

Features

  • Provides robust stitching of tiled microscope images on a regular grid, mostly following algorithm by MIST but improved in several points.

  • Supports missing tiles.

Installation

You can install M2Stitch via pip from PyPI:

$ pip install m2stitch

Usage

Please see the Usage for details.

Contributing

Contributions are very welcome. To learn more, see the Contributor Guide.

License

Distributed under the terms of the MIT license, M2Stitch is free and open source software.

Issues

If you encounter any problems, please file an issue along with a detailed description.

Credits

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.

Other Python stitching programs

One might also be interested in another Python-written stitching tool ASHLAR (bioRxiv), with a comparable performance to that of MIST and additional features.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

m2stitch-0.7.0.tar.gz (14.0 kB view hashes)

Uploaded Source

Built Distribution

m2stitch-0.7.0-py3-none-any.whl (14.8 kB view hashes)

Uploaded Python 3

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page