Vectorized data acquisition and fast triple-correlation integrals for Fluorescence Triple Correlation Spectroscopy

Published: 1 April 2013| Version 1 | DOI: 10.17632/j2vvmcz8j4.1
William K. Ridgeway, David P. Millar, James R. Williamson


Abstract Fluorescence Correlation Spectroscopy (FCS) is widely used to quantify reaction rates and concentrations of molecules in vitro and in vivo. We recently reported Fluorescence Triple Correlation Spectroscopy (F3CS), which correlates three signals together instead of two. F3CS can analyze the stoichiometries of complex mixtures and detect irreversible processes by identifying time-reversal asymmetries. Here we report the computational developments that were required for the realization of F3CS a... Title of program: Triple Correlation Toolbox (suite) Catalogue Id: AEOP_v1_0 Nature of problem Fluorescence Triple Correlation Spectroscopy required three things: data acquisition at faster speeds than were possible without expensive custom hardware, triple-correlation routines that could process 1/2 TB data sets rapidly, and fitting routines capable of handling several to a hundred fit parameters and 14,000+ data points, each with error estimates. Versions of this program held in the CPC repository in Mendeley Data AEOP_v1_0; Triple Correlation Toolbox (suite); 10.1016/j.cpc.2012.12.022 This program has been imported from the CPC Program Library held at Queen's University Belfast (1969-2018)



Physical Chemistry, Molecular Physics, Computational Physics