This repository contains Python scripts for performing reconvolution curve fitting using both custom NNLS-based methods. These scripts are designed to analyze time-resolved fluorescence decay data by fitting exponential decay models convolved with an instrument response function (IRF).
Inspired by LifeFit.
- Custom NNLS-based fitting: Uses non-negative least squares (NNLS) for fitting decay curves.
- Global Fitting: Finds global fit minima using Differential Evolution
- Data smoothing: Optional data smoothing using Savitzky-Golay filter.
Clone the repository and install the required packages:
git clone https://github.com/mkizilov/TCSPC-Reconvolution
cd TCSPC_Reconvolution
pip install -r requirements.txtSee Example
Contributions are welcome! Please feel free to submit a pull request or open an issue.
This project is licensed under the MIT License. See the LICENSE file for details.
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