pycorrfit 0.9.5+dfsg-1 / usr / lib / python2.7 / dist-packages / pycorrfit-0.9.5.egg-info / PKG-INFO

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Metadata-Version: 1.1
Name: pycorrfit
Version: 0.9.5
Summary: Scientific tool for fitting correlation curves on a logarithmic plot.
Home-page: https://github.com/FCS-analysis/PyCorrFit
Author: Paul Müller
Author-email: paul.mueller@biotec.tu-dresden.de
License: GPL v2
Description: 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:
        
        https://github.com/FCS-analysis/PyCorrFit/wiki/Installation_pip
        
        Further reading:
        
        - Latest downloads: https://github.com/FCS-analysis/PyCorrFit/releases   
        - Documentation: https://github.com/FCS-analysis/PyCorrFit/wiki/PyCorrFit_doc.pdf  
        - Write model functions: https://github.com/FCS-analysis/PyCorrFit/wiki/Writing-model-functions   
        - Need help? https://github.com/FCS-analysis/PyCorrFit/wiki/Creating-a-new-issue   
        
Keywords: fcs,fluorescence,correlation,spectroscopy,tir,fitting
Platform: ALL
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python :: 2.7
Classifier: Topic :: Scientific/Engineering :: Visualization
Classifier: Intended Audience :: Science/Research

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