Metadata-Version: 2.1
Name: organelle-segmenter-plugin
Version: 0.0.6
Summary: A plugin that enables organelle segmentation, forked from tools from Allen Institute for Cell Science
Home-page: https://github.com/ndcn/organelle-segmenter-plugin
Author: Andy Henrie
Author-email: ergonyc@gmail.com
License: BSD-3
Project-URL: Bug Tracker, https://github.com/ndcn/organelle-segmenter-plugin/issues
Project-URL: Documentation, https://github.com/ndcn/organelle-segmenter-plugin#README.md
Project-URL: Source Code, https://github.com/ndcn/organelle-segmenter-plugin
Project-URL: User Support, https://github.com/ndcn/organelle-segmenter-plugin/issues
Classifier: Development Status :: 3 - Alpha
Classifier: Intended Audience :: Science/Research
Classifier: Framework :: napari
Classifier: Topic :: Scientific/Engineering
Classifier: Topic :: Scientific/Engineering :: Visualization
Classifier: Topic :: Scientific/Engineering :: Information Analysis
Classifier: Topic :: Scientific/Engineering :: Bio-Informatics
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Classifier: Operating System :: OS Independent
Classifier: License :: OSI Approved :: BSD License
Requires-Python: >=3.8
Description-Content-Type: text/markdown
License-File: LICENSE
Requires-Dist: napari
Requires-Dist: napari-plugin-engine>=0.1.4
Requires-Dist: aicssegmentation
Requires-Dist: aicsimageio
Requires-Dist: numpy
Requires-Dist: scikit-image
Requires-Dist: aicsimageio>=4.7.0
Provides-Extra: testing
Requires-Dist: tox; extra == "testing"
Requires-Dist: pytest; extra == "testing"
Requires-Dist: pytest-cov; extra == "testing"
Requires-Dist: pytest-qt; extra == "testing"
Requires-Dist: napari; extra == "testing"
Requires-Dist: pyqt5; extra == "testing"

# organelle-segmenter-plugin

[![License BSD-3](https://img.shields.io/pypi/l/organelle-segmenter-plugin.svg?color=green)](https://github.com/ndcn/organelle-segmenter-plugin/raw/main/LICENSE)
[![PyPI](https://img.shields.io/pypi/v/organelle-segmenter-plugin.svg?color=green)](https://pypi.org/project/organelle-segmenter-plugin)
[![Python Version](https://img.shields.io/pypi/pyversions/organelle-segmenter-plugin.svg?color=green)](https://python.org)
[![tests](https://github.com/ndcn/organelle-segmenter-plugin/workflows/tests/badge.svg)](https://github.com/ndcn/organelle-segmenter-plugin/actions)
[![codecov](https://codecov.io/gh/ndcn/organelle-segmenter-plugin/branch/main/graph/badge.svg)](https://codecov.io/gh/ndcn/organelle-segmenter-plugin)
[![napari hub](https://img.shields.io/endpoint?url=https://api.napari-hub.org/shields/organelle-segmenter-plugin)](https://napari-hub.org/plugins/organelle-segmenter-plugin)


### A [napari](https://napari.org/stable/) plugin implementing [`infer-subc`](https://github.com/ndcn/infer-subc) segmentation workflows. 
See [`infer-subc`](https://github.com/ndcn/infer-subc) for more information.

# FRAMEWORK, RESOURCES & CONTRIBUTIONS
 
## Forked from Allen Institute for Cell Science project
The Allen Cell & Structure Segmenter plugin for napari, from which this projects is forked, provides an intuitive graphical user interface to access the powerful segmentation capabilities of an open source 3D segmentation software package developed and maintained by the Allen Institute for Cell Science (classic workflows only with v1.0). ​[The Allen Cell & Structure Segmenter](https://allencell.org/segmenter) is a Python-based open source toolkit developed at the Allen Institute for Cell Science for 3D segmentation of intracellular structures in fluorescence microscope images. This toolkit brings together classic image segmentation and iterative deep learning workflows first to generate initial high-quality 3D intracellular structure segmentations and then to easily curate these results to generate the ground truths for building robust and accurate deep learning models. The toolkit takes advantage of the high replicate 3D live cell image data collected at the Allen Institute for Cell Science of over 30 endogenous fluorescently tagged human induced pluripotent stem cell (hiPSC) lines. Each cell line represents a different intracellular structure with one or more distinct localization patterns within undifferentiated hiPS cells and hiPSC-derived cardiomyocytes.

More details about Segmenter can be found at https://allencell.org/segmenter

## Issues

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

## Contributing

Contributions are very welcome. 

## License

Distributed under the terms of the [BSD-3] license

"organelle-segmenter-plugin" is free and open source software.



[napari]: https://github.com/napari/napari
[Cookiecutter]: https://github.com/audreyr/cookiecutter
[@napari]: https://github.com/napari
[MIT]: http://opensource.org/licenses/MIT
[BSD-3]: http://opensource.org/licenses/BSD-3-Clause
[cookiecutter-napari-plugin]: https://github.com/napari/cookiecutter-napari-plugin
[file an issue]: https://github.com/ndcn/organelle-segmenter-plugin/issues
[napari]: https://github.com/napari/napari
[pip]: https://pypi.org/project/pip/
[PyPI]: https://pypi.org/
