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PyCorrFit can be used for fitting any data on a semi-log plot. The program focusses on
Fluorescence Correlation Spectroscopy (FCS) and comes with a couple of features that are
crucial for FCS data analysis:
- Averaging of curves
- Background correction
- Batch processing
- Overlay tool to identify outliers
- Fast simulation of model parameter behavior
- Session management
- User-defined model functions
- High quality plot export using LaTeX (bitmap or vector graphics)
For a full list of features and supported file formats visit http://pycorrfit.craban.de.
There are also precompiled binaries for various systems.
This package provides the Python module `pycorrfit` and its graphical user interface. The
graphical user interface is written with wxPython. A HowTo for the installation of the
latest version of PyCorrFit using pip can be found there:
https://github.com/paulmueller/PyCorrFit/wiki/Installation_pip
Further reading:
- Latest downloads: https://github.com/paulmueller/PyCorrFit/releases
- Documentation: https://github.com/paulmueller/PyCorrFit/raw/master/PyCorrFit_doc.pdf
- Write model functions: https://github.com/paulmueller/PyCorrFit/wiki/Writing-model-functions
- Need help? https://github.com/paulmueller/PyCorrFit/wiki/Creating-a-new-issue
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