TensoFLIM is a Python toolkit for processing, normalising, and analysing fluorescence lifetime imaging microscopy (FLIM) data from molecular tension sensors.
The package is designed for lifetime-based force readouts, where changes in fluorescence lifetime or FRET efficiency are interpreted as relative mechanical tension rather than absolute force.
TensoFLIM focuses on reproducible, quantitative workflows for analysing tension-sensitive FLIM data across cells, conditions, and experiments.
- Processing of lifetime images from FLIM-based tension sensors
- Offset correction and zero-force referencing using tensionless controls
- Conversion between lifetime, FRET efficiency, and relative force
- Pixel-wise and region-based analysis
- Generation of publication-ready plots and summary statistics
- Designed to integrate with FLIM, FRET, and TCSPC pipelines
Clone the repository and install dependencies:
git clone https://github.com/C-Trass/TensoFLIM.git
cd TensoFLIM
pip install -r requirements.txt
For development use:TensoFLIM is intended for:
- Researchers using FLIM-based molecular tension sensors
- Users analysing vinculin, talin, or other mechanosensitive probes
- Scientists interested in relative force changes rather than absolute calibration -FLIM and FRET users who require transparent, scriptable analysis
If you use TensoFLIM in academic work, please cite:
Dr Conor A. Treacy, TensoFLIM: Quantitative analysis of FLIM-based molecular tension sensor data, Biomedical Optics Express, forthcoming.
A DOI will be added here once the associated methods paper is published.
Until then, you may cite this repository directly using the GitHub URL and the software version.
This project is released under the MIT License. You are free to use, modify, and distribute the code with attribution.