data analysis software for fluorescence correlation spectroscopy (FCS).

In current biomedical research, fluorescence correlation spectroscopy (FCS) is applied to characterize molecular dynamic processes in vitro and in living cells. Commercial FCS setups only permit data analysis that is limited to a specific instrument by the use of in-house file formats or a finite number of implemented correlation model functions. PyCorrFit is a general-purpose FCS evaluation software that, amongst other formats, supports the established Zeiss ConfoCor3 ~.fcs file format. PyCorrFit comes with several built-in model functions, covering a wide range of applications in standard confocal FCS. In addition, it contains equations dealing with different excitation geometries like total internal reflection (TIR).

Supported Operating Systems

Supported Filetypes

Fitting

Tools and Features

Docs

How to cite

PyCorrFit is described in

Müller, P., Schwille, P., and Weidemann, T.
PyCorrFit - generic data evaluation for fluorescence correlation spectroscopy. Bioinformatics 30(17):2532-2533 (2014). DOI:10.1093/bioinformatics/btu328

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PyCorrFit and PyScanFCS were both developed by Paul Müller.

Affiliation:
I currently work in the group of Prof. Jochen Guck in the Biotechnology Center of the TU Dresden.

PyCorrFit was partly developed in the group of Petra Schwille.