Metadata-Version: 2.1
Name: myofinder
Version: 1.0.2
Summary: Automatic calculation of the fusion index by AI segmentation
Home-page: https://github.com/TissueEngineeringLab/MyoFInDer
Download-URL: https://pypi.org/project/myofinder/#files
Author: Antoine Weisrock
Author-email: antoine.weisrock@kuleuven.be
Maintainer: Antoine Weisrock
Maintainer-email: antoine.weisrock@gmail.com
License: GPL V3
Project-URL: Documentation, https://tissueengineeringlab.github.io/MyoFInDer/
Project-URL: Source, https://github.com/TissueEngineeringLab/MyoFInDer
Keywords: segmentation,fusion index,automation,muscle culture
Classifier: Development Status :: 5 - Production/Stable 
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: GNU General Public License v3 (GPLv3)
Classifier: Natural Language :: English
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
Classifier: Topic :: Scientific/Engineering :: Bio-Informatics
Classifier: Topic :: Scientific/Engineering :: Image Recognition
Requires-Python: >=3.7,<3.11
License-File: LICENSE

Myoblast Fusion Index Determination
  Myofinder is is a Python module for the automatic calculation of the fusion 
  index on florescence-stained images of muscle cultures. It provides a simple 
  and user-friendly interface managing several images, processing all or part 
  of them, visualizing the output, and manually correcting it if needed. It 
  relies on the DeepCell library for performing the image segmentation.
  
