Skip to main content

Automatic calculation of the fusion index by AI segmentation

Project description

The Myoblast Fusion Index Determination Software

The MyoFInDer Python package aims to provide an open-source graphical interface for automatic calculation of the fusion index in muscle cell cultures, based on fluorescence microscopy images.

Presentation

MyoFInDer is based on an Artificial Intelligence library for cell segmentation, that it makes easily accessible to researchers with limited computer skills. In the interface, users can manage multiple images at once, adjust processing parameters, and manually correct the output of the computation. It is also possible to save the result of the processing as a project, that can be shared and re-opened later.

A more detailed description of the features and usage of MyoFInDer can be found in the usage section of the documentation.

MyoFInDer was developed at the Tissue Engineering Lab in Kortrijk, Belgium, which is part of the KU Leuven university. It is today the preferred solution in our laboratory for assessing the fusion index of a cell population.

Requirements

To install and run MyoFInDer, you'll need Python 3 (3.7 to 3.10), approximately 1GB of disk space, and preferably 8GB of memory or more. MyoFInDer runs on Windows, Linux, macOS, and potentially other OS able to run a compatible version of Python.

The dependencies of the module are :

Installation

MyoFInDer is distributed on PyPI, and can thus be installed using the pip module of Python :

python -m pip install myofinder

Note that in the bin folder of this repository, a very basic .msi Windows installer allows automatically installing the module and its dependencies for Windows users who don't feel comfortable with command-line operations.

A more detailed description of the installation procedure can be found in the installation section of the documentation.

Documentation

The latest version of the documentation can be accessed on the project's website. It contains detailed information about the installation, usage, and troubleshooting.

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

myofinder-1.0.10.tar.gz (2.6 MB view details)

Uploaded Source

Built Distribution

myofinder-1.0.10-py3-none-any.whl (2.5 MB view details)

Uploaded Python 3

File details

Details for the file myofinder-1.0.10.tar.gz.

File metadata

  • Download URL: myofinder-1.0.10.tar.gz
  • Upload date:
  • Size: 2.6 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.0.0 CPython/3.9.19

File hashes

Hashes for myofinder-1.0.10.tar.gz
Algorithm Hash digest
SHA256 20197b239e7ab4f2c44e0617201cd06ed600785faa4117c2a529685ef55bfe69
MD5 ff67657b425b824078cd9e52e93f0470
BLAKE2b-256 03cf1449653f178528ec9ee7585cfc1b233e000a5840ebb0afdd695d8093e95a

See more details on using hashes here.

File details

Details for the file myofinder-1.0.10-py3-none-any.whl.

File metadata

  • Download URL: myofinder-1.0.10-py3-none-any.whl
  • Upload date:
  • Size: 2.5 MB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.0.0 CPython/3.9.19

File hashes

Hashes for myofinder-1.0.10-py3-none-any.whl
Algorithm Hash digest
SHA256 5564b0c264425ba8b6084165ba978eda394213d351832dae5b853b6083d84303
MD5 2ffcb87e46691a7daf4ae6d7c20e25bd
BLAKE2b-256 6895ef6487358de5f67540320109cf48f11f1fe8002a129f569373e78bbb462b

See more details on using hashes here.

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