Scientific tool for fitting correlation curves on a logarithmic plot.
Project description
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/wiki/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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