PyCorrFit—generic data evaluation for fluorescence correlation spectroscopy

We present a graphical user interface (PyCorrFit) for the fitting of theoretical model functions to experimental data obtained by fluorescence correlation spectroscopy (FCS). The program supports many data file formats and features a set of tools specialized in FCS data evaluation. Availability and...

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Bibliographic Details
Published inBioinformatics (Oxford, England) Vol. 30; no. 17; pp. 2532 - 2533
Main Authors Müller, Paul, Schwille, Petra, Weidemann, Thomas
Format Journal Article
LanguageEnglish
Published England Oxford University Press 01.09.2014
Subjects
Algorithms
Applications Notes
Computer Graphics
Internet
Software
Spectrometry, Fluorescence - methods
User-Computer Interface
Online AccessGet full text
ISSN1367-4803
1367-4811
1367-4811
DOI10.1093/bioinformatics/btu328

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Summary:We present a graphical user interface (PyCorrFit) for the fitting of theoretical model functions to experimental data obtained by fluorescence correlation spectroscopy (FCS). The program supports many data file formats and features a set of tools specialized in FCS data evaluation. Availability and implementation: The Python source code is freely available for download from the PyCorrFit web page at http://pycorrfit.craban.de. We offer binaries for Ubuntu Linux, Mac OS X and Microsoft Windows. Contact:  paul.mueller@biotec.tu-dresden.de and weidemann@biochem.mpg.de
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Associate Editor: Alfonso Valencia
ISSN:1367-4803
1367-4811
1367-4811
DOI:10.1093/bioinformatics/btu328