Python framework for single-molecule FRET data analysis. The general pipeline includes the following steps:
Modules that are ready for test:
- Traces_extractor_pipeline.ipynb : JP notebook used to run the traces extraction from the raw TIFF movies, including chromatic aberration and drift corrections
- PySMACKS_FRET_corrections.ipnyb : JP notebook used to process the FRET corrections
$\alpha$ -$\delta$ -$\beta$ -$\gamma$ , and plot the corrected FRET efficiency histogram - GUI_traces_viewer.py : A GUI traces viewer to manually check the extracted traces, filter them using SNR threshold and view the corresponding spot from the raw TIFF movies; will serve as a basis for the quality checks
- GUI_traces_annotater.py : similar to GUI_traces_viewer.py, with additional function to select sub-regions of individual traces for downstream analysis, as well as some user-friendly feature, such as zooming with the mouse roll