About KymFlow¤
KymFlow is a tool for analyzing kymograph blood flow data from laser scanning microscopy experiments.
Overview¤
KymFlow provides both a desktop GUI application and a Python API for working with kymograph TIFF files. The tool enables researchers to:
- Load and visualize kymograph images
- Edit experimental metadata
- Perform Radon-based flow analysis to detect flow direction and velocity
- Process multiple files in batch mode
- Export analysis results for further processing
Features¤
- Intuitive GUI: Browse, analyze, and manage kymograph files with an easy-to-use interface
- Batch Processing: Analyze multiple files sequentially with progress tracking
- Metadata Management: Edit and save experimental metadata alongside analysis results
- Python API: Use the backend programmatically in scripts and Jupyter notebooks
- Radon Flow Analysis: Detect flow direction and velocity using Radon transforms
Author¤
Robert H. Cudmore
- Email: robert.cudmore@gmail.com
- GitHub: mapmanager/kymflow
License¤
This project is licensed under the GNU General Public License v3 or later (GPLv3+).
See the LICENSE file for details.
Citation¤
If you use KymFlow in your research, please cite:
KymFlow: Kymograph Blood Flow Analysis Tool
Robert H. Cudmore
https://github.com/mapmanager/kymflow
Contributing¤
Contributions are welcome! Please see the Contributing Guide for details on how to get started.
Support¤
- Issues: Report bugs or request features on GitHub Issues
- Documentation: Full documentation is available at https://mapmanager.github.io/kymflow/
Acknowledgments¤
KymFlow is designed for analyzing kymograph data from in vivo blood flow imaging experiments, particularly those using laser scanning microscopy techniques.