Visual Fret are Jupyternotebooks for visualization and analysis of experimental fluorescence measurements.
The Jupyternotebook "linearity_errors bars_SI" can be used to study the linearity of a fluorescent dye.
The Jupyternotebook "data_analysis_SI" can be used for the correction of measured emission values. Here the values were determined with a fluorometer/fluorescence spectrometer. After correction, FRET signal and quenching probability can be calculated and also displayed termperature dependent.
Clone or download Visual_FRET into your working directory.
https://github.com/BoernerLab/Visual_FRET.git
Within Jupyter-Lab or Jupyter-Notebook you can open the .ipynb files and then compile the code.
The following packages are required:
- matplotlib
- pandas
- numpy
- scipy
Author: Anne Winkler