PyCorrFit—generic data evaluation for fluorescence correlation spectroscopy

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. Availabi...

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Detalles Bibliográficos
Autores principales: Müller, Paul, Schwille, Petra, Weidemann, Thomas
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2014
Materias:
Applications Notes
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4147890/
https://www.ncbi.nlm.nih.gov/pubmed/24825612
http://dx.doi.org/10.1093/bioinformatics/btu328
Descripción
Sumario: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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