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
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author Müller, Paul
Schwille, Petra
Weidemann, Thomas
author_facet Müller, Paul
Schwille, Petra
Weidemann, Thomas
author_sort Müller, Paul
collection PubMed
description 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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spelling pubmed-41478902014-09-02 PyCorrFit—generic data evaluation for fluorescence correlation spectroscopy Müller, Paul Schwille, Petra Weidemann, Thomas Bioinformatics Applications Notes 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 Oxford University Press 2014-09-01 2014-05-13 /pmc/articles/PMC4147890/ /pubmed/24825612 http://dx.doi.org/10.1093/bioinformatics/btu328 Text en © The Author 2014. Published by Oxford University Press. http://creativecommons.org/licenses/by/3.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Applications Notes
Müller, Paul
Schwille, Petra
Weidemann, Thomas
PyCorrFit—generic data evaluation for fluorescence correlation spectroscopy
title PyCorrFit—generic data evaluation for fluorescence correlation spectroscopy
title_full PyCorrFit—generic data evaluation for fluorescence correlation spectroscopy
title_fullStr PyCorrFit—generic data evaluation for fluorescence correlation spectroscopy
title_full_unstemmed PyCorrFit—generic data evaluation for fluorescence correlation spectroscopy
title_short PyCorrFit—generic data evaluation for fluorescence correlation spectroscopy
title_sort pycorrfit—generic data evaluation for fluorescence correlation spectroscopy
topic Applications Notes
url 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
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AT schwillepetra pycorrfitgenericdataevaluationforfluorescencecorrelationspectroscopy
AT weidemannthomas pycorrfitgenericdataevaluationforfluorescencecorrelationspectroscopy

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