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PySMACKS

Overview

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

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Modular Python framework for single-molecule FRET data analysis

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