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

Main Author: CPC, Mendeley
Other Authors: Ridgeway, William K., Millar, David P., Williamson, James R.
Format: Dataset
Terbitan: Mendeley , 2013
Subjects:
Physical Chemistry
Molecular Physics
Computational Physics
Online Access: https:/data.mendeley.com/datasets/j2vvmcz8j4
ctrlnum 0.17632-j2vvmcz8j4.1
fullrecord <?xml version="1.0"?> <dc><creator>CPC, Mendeley</creator><title>Vectorized data acquisition and fast triple-correlation integrals for Fluorescence Triple Correlation Spectroscopy </title><publisher>Mendeley</publisher><description>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)</description><subject>Physical Chemistry</subject><subject>Molecular Physics</subject><subject>Computational Physics</subject><contributor>Ridgeway, William K.</contributor><contributor>Millar, David P.</contributor><contributor>Williamson, James R.</contributor><type>Other:Dataset</type><identifier>10.17632/j2vvmcz8j4.1</identifier><rights>Computer Physics Communications Journal Licence</rights><rights>https://www.elsevier.com/about/policies/open-access-licenses/elsevier-user-license/cpc-license/</rights><relation>https:/data.mendeley.com/datasets/j2vvmcz8j4</relation><date>2013-04-01T11:00:00Z</date><recordID>0.17632-j2vvmcz8j4.1</recordID></dc>
format Other:Dataset
Other
author CPC, Mendeley
author2 Ridgeway, William K.
Millar, David P.
Williamson, James R.
title Vectorized data acquisition and fast triple-correlation integrals for Fluorescence Triple Correlation Spectroscopy
publisher Mendeley
publishDate 2013
topic Physical Chemistry
Molecular Physics
Computational Physics
url https:/data.mendeley.com/datasets/j2vvmcz8j4
contents 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)
id IOS7969.0.17632-j2vvmcz8j4.1
institution Universitas Islam Indragiri
affiliation onesearch.perpusnas.go.id
institution_id 804
institution_type library:university
library
library Teknologi Pangan UNISI
library_id 2816
collection Artikel mulono
repository_id 7969
city INDRAGIRI HILIR
province RIAU
shared_to_ipusnas_str 1
repoId IOS7969
first_indexed 2020-04-08T08:32:07Z
last_indexed 2020-04-08T08:32:07Z
recordtype dc
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score 17.538404

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