The use of non-uniform sampling of NMR spectra may give significant reductions in the data acquisition time. For quantitative experiments such as the measurement of spin relaxation rates, non-uniform sampling is however not widely used as inaccuracies in peak intensities may lead to errors in the extracted dynamic parameters. By systematic reducing the coverage of the Nyquist grid of 15N Carr-Purcell-Meiboom-Gill (CPMG) relaxation dispersion datasets for four different proteins and performing a full data analysis of the resulting non-uniform sampled datasets, we have compared the performance of the multi-dimensional decomposition and iterative re-weighted least-squares algorithms in reconstructing spectra with accurate peak intensities. As long as a single fully sampled spectrum is included in a series of otherwise non-uniform sampled two-dimensional spectra, multi-dimensional decomposition reconstructs the non-uniform sampled spectra with high accuracy. For two of the four analyzed datasets, a coverage of only 20Â*% results in essentially the same results as the fully sampled data. As exemplified by other data, such a low coverage is in general not enough to produce reliable results. We find that a coverage level not compromising the final results can be estimated by recording a single full two-dimensional spectrum and reducing the spectrum quality in silico.
[NMR paper] Non-Uniform Sampling and J-UNIO Automation for Efficient Protein NMR Structure Determination.
Non-Uniform Sampling and J-UNIO Automation for Efficient Protein NMR Structure Determination.
Related Articles Non-Uniform Sampling and J-UNIO Automation for Efficient Protein NMR Structure Determination.
Chemistry. 2015 Jul 28;
Authors: Didenko T, Proudfoot A, Dutta SK, Serrano P, Wüthrich K
Abstract
High-resolution structure determination of small proteins in solution is one of the big assets of NMR spectroscopy in structural biology. Improvements in the efficiency of NMR structure determination by advances in NMR experiments...
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08-02-2015 07:10 AM
[NMR paper] Performance tuning non-uniform sampling for sensitivity enhancement of signal-limited biological NMR.
Performance tuning non-uniform sampling for sensitivity enhancement of signal-limited biological NMR.
Related Articles Performance tuning non-uniform sampling for sensitivity enhancement of signal-limited biological NMR.
J Biomol NMR. 2014 Mar 29;
Authors: Palmer MR, Wenrich BR, Stahlfeld P, Rovnyak D
Abstract
Non-uniform sampling (NUS) has been established as a route to obtaining true sensitivity enhancements when recording indirect dimensions of decaying signals in the same total experimental time as traditional uniform...
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04-01-2014 02:47 PM
[NMR paper] Time-resolved multidimensional NMR with non-uniform sampling.
Time-resolved multidimensional NMR with non-uniform sampling.
Time-resolved multidimensional NMR with non-uniform sampling.
J Biomol NMR. 2014 Jan 17;
Authors: Mayzel M, Rosenlöw J, Isaksson L, Orekhov VY
Abstract
Time-resolved experiments demand high resolution both in spectral dimensions and in time of the studied kinetic process. The latter requirement traditionally prohibits applications of the multidimensional experiments, which, although capable of providing invaluable information about structure and dynamics and almost unlimited...
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01-18-2014 11:31 AM
[NMR analysis blog] Non Uniform Sampling (NUS) NMR Processing
Non Uniform Sampling (NUS) NMR Processing
Background
In the last few years, Non-Uniform Sampling (NUS) has emerged as a very powerful tool to significantly speed up the acquisition of multidimensional NMR experiments due to the fact that only a subset of the usual linearly sampled data in the Nyquist grid is measured.
Unfortunately, this fast acquisition modality introduces a new challenge as the normal Fourier Transform will fail and consequently, special processing techniques are required.
A number of sophisticated methods have been proposed for reconstructing sparsely sampled 2D...
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12-21-2013 03:15 PM
An analysis of NMR sensitivity enhancements obtained using non-uniform weighted sampling, and the application to protein NMR
An analysis of NMR sensitivity enhancements obtained using non-uniform weighted sampling, and the application to protein NMR
June 2012
Publication year: 2012
Source:Journal of Magnetic Resonance, Volume 219</br>
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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...
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02-03-2013 10:13 AM
[NMRpipe Yahoo group] Re: extraction of 2D data according to non linear sampling schedule
Re: extraction of 2D data according to non linear sampling schedule
Dear all£¬ I met the same condition as Ratan posted two years ago.Is there anyone have tips? Thanks in advance. tang
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06-28-2012 07:54 AM
An analysis of NMR sensitivity enhancements obtained using non-uniform weighted sampling, and the application to protein NMR
An analysis of NMR sensitivity enhancements obtained using non-uniform weighted sampling, and the application to protein NMR
Publication year: 2012
Source:Journal of Magnetic Resonance</br>
Christopher A. Waudby, John Christodoulou</br>
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...
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05-01-2012 08:03 PM
Al NMR: a novel NMR data processing program optimized for sparse sampling
Al NMR: a novel NMR data processing program optimized for sparse sampling
Abstract Sparse sampling in biomolecular multidimensional NMR offers increased acquisition speed and resolution and, if appropriate conditions are met, an increase in sensitivity. Sparse sampling of indirectly detected time domains combined with the direct truly multidimensional Fourier transform has elicited particular attention because of the ability to generate a final spectrum amenable to traditional analysis techniques. A number of sparse sampling schemes have been described including radial sampling, random...