Releases: eleni-chr/NMJ-MN-image-analysis-toolkit
v1.0.1
Contributors: @eleni-chr , @Fabio-Simoes
In this release, we are introducing our Neuromuscular Junction (NMJ) Image Analysis software. This software is designed to facilitate the morphometric analysis of NMJ microscopy images, as well as the analysis of protein distribution and localisation in immunohistochemically-labelled microscopy images.
Highlights of this release include:
- Image Acquisition and Preparation: A detailed guide on preparing microscopy images for analysis, including information on the required folder hierarchy and file structure.
- Workflow Instructions: Comprehensive instructions for running image analysis in both MATLAB and ImageJ, including steps for generating binary images, calculating areas and fragment counts, and assessing colocalisation.
- Data Compilation: A MATLAB function for compiling the results of the analysis into a single Excel file.
Disclaimer: The code provided in this release has not been peer-reviewed and is subject to errors. Users are encouraged to thoroughly test the code and verify its accuracy for their specific use cases. The authors of this code are not responsible for any errors or inaccuracies in the results obtained from using these functions. Additionally, the code may be subject to updates or modifications, and users should keep an eye out for future releases to ensure the most accurate and up-to-date functionality.
Full Changelog: v1.0.0...v1.0.1
Contributors
Assets 2
First release
Contributors: @eleni-chr , @Fabio-Simoes
In this release, we are introducing our Neuromuscular Junction (NMJ) Image Analysis software. This software is designed to facilitate the morphometric analysis of NMJ microscopy images, as well as the analysis of protein distribution and localisation in immunohistochemically-labelled microscopy images.
Highlights of this release include:
- Image Acquisition and Preparation: A detailed guide on preparing microscopy images for analysis, including information on the required folder hierarchy and file structure.
- Workflow Instructions: Comprehensive instructions for running image analysis in both MATLAB and ImageJ, including steps for generating binary images, calculating areas and fragment counts, and assessing colocalisation.
- Data Compilation: A MATLAB function for compiling the results of the analysis into a single Excel file.
Disclaimer: The code provided in this release has not been peer-reviewed and is subject to errors. Users are encouraged to thoroughly test the code and verify its accuracy for their specific use cases. The authors of this code are not responsible for any errors or inaccuracies in the results obtained from using these functions. Additionally, the code may be subject to updates or modifications, and users should keep an eye out for future releases to ensure the most accurate and up-to-date functionality.