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Welcome to the PyFRAP wiki!

What is FRAP?

Fluorescence Recovery After Photobleaching (FRAP) is a microscopy-based technique for measuring protein mobility. A fluorescent sample is getting exposed to a high-intensity pulse in subset ROI of the sample, destroying the fluorescence of the molecules within this region. Over time, the fluorescence in the bleached ROI recovers, resulting in a recovery curve that can be exploited to compute the rate of diffusion underlying this recovery.

What is PyFRAP?

PyFRAP is a Python based FRAP analysis tool box including the following features:

• Import FRAP datasets from timelapse experiments and analyze image data with various options such as
  • various filters
  • background substraction
  • illumination correction
• Simulate the FRAP experiment with exact interpolated initial conditions
• Fit simulated experiment to analyzed data and extract diffusion coefficient
• Statistical analysis of fitting results
• Hierarchical data structure making data exchange/sharing easy
• Comprehensive GUI, making almost all PyFRAP tools available

What is this wiki for?

In this wiki we explain how to

• properly install PyFRAP,
• Analyze your first FRAP experiment with PyFRAP
• Use the PyFRAP package for scripting and running in the command line

Help?

Need help? Found a bug? Want to more about PyFRAP, FRAP? Don't hesitate to message me.