Scientific tool for fitting correlation curves on a logarithmic plot.
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:
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