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Journal article

Optimized processing and analysis of conventional confocal microscopy generated scanning FCS data

Abstract:
Scanning Fluorescence Correlation Spectroscopy (scanning FCS) is a variant of conventional point FCS that allows molecular diffusion at multiple locations to be measured simultaneously. It enables disclosure of potential spatial heterogeneity in molecular diffusion dynamics and also the acquisition of a large amount of FCS data at the same time, providing large statistical accuracy. Here, we optimize the processing and analysis of these large-scale acquired sets of FCS data. On one hand we present FoCuS-scan, scanning FCS software that provides an end-to-end solution for processing and analysing scanning data acquired on commercial turnkey confocal systems. On the other hand, we provide a thorough characterisation of large-scale scanning FCS data over its intended time-scales and applications and propose a unique solution for the bias and variance observed when studying slowly diffusing species. Our manuscript enables researchers to straightforwardly utilise scanning FCS as a powerful technique for measuring diffusion across a broad range of physiologically relevant length scales without specialised hardware or expensive software.
Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.1016/j.ymeth.2017.09.010

Authors


More by this author
Institution:
University of Oxford
Division:
MSD
Department:
RDM
Sub department:
Weatherall Insti. of Molecular Medicine
Oxford college:
Hertford College
Role:
Author
ORCID:
0000-0003-2685-4226
More by this author
Institution:
University of Oxford
Division:
Medical Sciences Division
Department:
RDM
Sub department:
Weatherall Insti. of Molecular Medicine
Role:
Author
More by this author
Institution:
University of Oxford
Division:
Medical Sciences Division
Department:
RDM
Sub department:
Weatherall Insti. of Molecular Medicine
Role:
Author
ORCID:
0000-0002-4457-8096
More by this author
Institution:
University of Oxford
Division:
Medical Sciences Division
Department:
RDM
Sub department:
Weatherall Insti. of Molecular Medicine
Role:
Author
ORCID:
0000-0003-1196-6241
More by this author
Institution:
University of Oxford
Division:
Medical Sciences Division
Department:
RDM
Sub department:
Weatherall Insti. of Molecular Medicine
Role:
Author


Publisher:
Elsevier
Journal:
Methods More from this journal
Volume:
140-141
Pages:
62-73
Publication date:
2017-09-28
Acceptance date:
2017-09-24
DOI:
EISSN:
1095-9130
ISSN:
1046-2023
Pmid:
28963070


Language:
English
Keywords:
Pubs id:
pubs:732963
UUID:
uuid:5ed06b1f-775c-4db0-94b0-1f122e3f2a22
Local pid:
pubs:732963
Source identifiers:
732963
Deposit date:
2019-07-08

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