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FoCuS-point

Python TCSPC (Time Correlated Single Photon Counting) FCS (Fluorescence Correlation Spectroscopy) data visualiser.

This is source code repository for FoCuS-point software. For full details please refer to the project website: FoCuS-point project page.

The latest and historical releases of the software and manual for Windows, Linux and OSX are available through the following link and allows immediate access to FoCuS-point technique: Click for Releases

Futhermore, the software can be directly installed using pip. Using naive Ubuntu 14.04:

    sudo apt-get install python-setuptools python-dev build-essential git-all (to install pip, might not need).
    sudo easy_install pip (to install pip, might not need).
    sudo pip install —upgrade virtualenv numpy
    sudo apt-get install libpng-dev libfreetype6-dev (Matplotlib dependencies)
    sudo -H pip install git+https://github.com/dwaithe/FCS_point_correlator/ —upgrade (should work for all OS as long as the dependencies are met).
    To run: python -m focuspoint.FCS_point_correlator

FAQ

Q: What datafiles does FoCuS-point support? A: Presently FoCuS-point supports '.pt3' uncorrelated files and in the fitting software FoCuS-point supports '.SIN' correlated files and '.csv' correlated files in FoCuS-point's own format.

Q: I have data files which are not '.pt3' what can I do? A: You can create an issue using github and I will make the software support your file format if possible. Furthermore you can write a parser which converts your file format to the FoCuS-point generic format which is comma delimited. More details can be found by following this link: Click for generic format