In this section
@article{Waithe:2018:10.1016/j.ymeth.2017.09.010,
author = {Waithe, D and Schneider, F and Chojnacki, J and Clausen, MP and Shrestha, D and Bernardino, de la Serna J and Eggeling, C},
doi = {10.1016/j.ymeth.2017.09.010},
journal = {Methods},
pages = {62--73},
title = {Optimized processing and analysis of conventional confocal microscopy generated scanning FCS data},
url = {http://dx.doi.org/10.1016/j.ymeth.2017.09.010},
volume = {140-141},
year = {2018}
}
TY - JOUR
AB - 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.
AU - Waithe,D
AU - Schneider,F
AU - Chojnacki,J
AU - Clausen,MP
AU - Shrestha,D
AU - Bernardino,de la Serna J
AU - Eggeling,C
DO - 10.1016/j.ymeth.2017.09.010
EP - 73
PY - 2018///
SN - 1046-2023
SP - 62
TI - Optimized processing and analysis of conventional confocal microscopy generated scanning FCS data
T2 - Methods
UR - http://dx.doi.org/10.1016/j.ymeth.2017.09.010
UR - http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000436917700008&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=1ba7043ffcc86c417c072aa74d649202
UR - http://hdl.handle.net/10044/1/69895
VL - 140-141
ER -