Waudby, CA;
Christodoulou, J;
(2012)
An analysis of NMR sensitivity enhancements obtained using non-uniform weighted sampling, and the application to protein NMR.
Journal of Magnetic Resonance
, 219
pp. 46-52.
10.1016/j.jmr.2012.04.013.
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Abstract
Non-uniform weighted sampling (NUWS) is a sampling strategy, related to non-uniform sampling (NUS) in the limit of long acquisition times, in which each indirect increment of a multidimensional spectrum is sampled multiple times according to some weighting function. As the spectrum is fully sampled it can be processed in a conventional manner by the discrete Fourier transform, making the analysis of sensitivity much more straightforward than for NUS data. Previously, 2-3 fold increases in signal-to-noise ratio (SNR) have been reported using NUWS. However, as the sampling schedule acts as a window function, the observed SNR must be compared with uniformly sampled data apodized using the same weighting function. On doing this, we calculate more modest improvements of 10-20% in SNR, and these are verified experimentally for spectra of α-synuclein and YFP. Nevertheless, we prove that NUWS always improves the sensitivity compared with identically processed uniformly sampled data, and when combined with rapid recycling experiments such as the SOFAST-HMQC, NUWS methods have the potential to make a useful and practical contribution to sensitivity-limited measurements.
Type: | Article |
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Title: | An analysis of NMR sensitivity enhancements obtained using non-uniform weighted sampling, and the application to protein NMR |
Location: | United States |
Open access status: | An open access version is available from UCL Discovery |
DOI: | 10.1016/j.jmr.2012.04.013 |
Publisher version: | http://dx.doi.org/10.1016/j.jmr.2012.04.013 |
Language: | English |
Additional information: | Copyright © 2012 Elsevier Inc. All rights reserved. This manuscript version is made available under the CC-BY-NC-ND 4.0 license http://creativecommons.org/licenses/by-nc-nd/4.0/. The published article is available from the journal website at http://dx.doi.org/10.1016/j.jmr.2012.04.013 |
Keywords: | Algorithms, Computer Simulation, Magnetic Resonance Spectroscopy, Models, Chemical, Models, Statistical, Proteins, Sample Size |
UCL classification: | UCL UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Life Sciences UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Life Sciences > Div of Biosciences UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Life Sciences > Div of Biosciences > Structural and Molecular Biology |
URI: | https://discovery.ucl.ac.uk/id/eprint/1365841 |
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