Related ArticlesSoftware for reconstruction of non-uniformly sampled NMR data.
Magn Reson Chem. 2020 Jun 09;:
Authors: Pedersen CP, Prestel A, Teilum K
Abstract
Non-uniform sampling (NUS) of multidimensional NMR experiments is a powerful tool to obtain high resolution spectra with less instrument time. With NUS only a subset of the points needed for conventional Fourier transformation is recorded and sophisticated algorithms are needed to reconstruct the missing data points. During the last decade several software packages implementing the reconstruction algorithms have emerged and been refined and now result in spectra of almost similar quality as spectra from conventionally recorded and processed data. However, from the number of literature references to the reconstruction methods many more multi-dimensional NMR spectra could presumably be recorded with NUS. To help researchers considering starting using NUS for their NMR experiments we here review 13 different reconstruction methods found in five software packages (CambridgeCS, hmsIST, MddNMR, NESTA-NMR and SMILE). We have compared how the methods run with the provided example scripts for reconstructing a non-uniform sampled three-dimensional 15 N-NOESY-HSQC at sampling densities from 5% to 50%. Overall, the spectra are all of similar quality above 20% sampling density. Thus, without any particular knowledge about the details of the reconstruction algorithms significant reduction in the experiment time can be achieved. Below 20% sampling density, the intensities of particular weak peaks start being affected, while MddNMR's IST with virtual echo and the SMILE algorithms still reproduced the spectra with the highest accuracy of peak intensities.
PMID: 32516838 [PubMed - as supplied by publisher]
[NMR paper] Reconstruction of non-uniformly sampled five-dimensional NMR spectra by signal separation algorithm.
Reconstruction of non-uniformly sampled five-dimensional NMR spectra by signal separation algorithm.
Related Articles Reconstruction of non-uniformly sampled five-dimensional NMR spectra by signal separation algorithm.
J Biomol NMR. 2017 Feb 28;:
Authors: Kosi?ski K, Stanek J, Górka MJ, ?erko S, Ko?mi?ski W
Abstract
A method for five-dimensional spectral reconstruction of non-uniformly sampled NMR data sets is proposed. It is derived from the previously published signal separation algorithm, with major alterations to avoid...
nmrlearner
Journal club
0
03-01-2017 05:04 PM
Reconstruction of non-uniformly sampled five-dimensional NMR spectra by signal separation algorithm
Reconstruction of non-uniformly sampled five-dimensional NMR spectra by signal separation algorithm
Abstract
A method for five-dimensional spectral reconstruction of non-uniformly sampled NMR data sets is proposed. It is derived from the previously published signal separation algorithm, with major alterations to avoid unfeasible processing of an entire five-dimensional spectrum. The proposed method allows credible reconstruction of spectra from as little as a few hundred data points and enables sensitive resonance detection in experiments with a high...
nmrlearner
Journal club
0
03-01-2017 04:13 AM
Sparse multidimensional iterative lineshape-enhanced (SMILE) reconstruction of both non-uniformly sampled and conventional NMR data
Sparse multidimensional iterative lineshape-enhanced (SMILE) reconstruction of both non-uniformly sampled and conventional NMR data
Abstract
Implementation of a new algorithm, SMILE, is described for reconstruction of non-uniformly sampled two-, three- and four-dimensional NMR data, which takes advantage of the known phases of the NMR spectrum and the exponential decay of underlying time domain signals. The method is very robust with respect to the chosen sampling protocol and, in its default mode, also extends the truncated time domain signals by a...
nmrlearner
Journal club
0
11-20-2016 08:57 AM
Accurate determination of rates from non-uniformly sampled relaxation data
Accurate determination of rates from non-uniformly sampled relaxation data
Abstract
The application of non-uniform sampling (NUS) to relaxation experiments traditionally used to characterize the fast internal motion of proteins is quantitatively examined. Experimentally acquired Poisson-gap sampled data reconstructed with iterative soft thresholding are compared to regular sequentially sampled (RSS) data. Using ubiquitin as a model system, it is shown that 25Â*% sampling is sufficient for the determination of quantitatively accurate relaxation...
Application of iterative soft thresholding for fast reconstruction of NMR data non-uniformly sampled with multidimensional Poisson Gap scheduling
Application of iterative soft thresholding for fast reconstruction of NMR data non-uniformly sampled with multidimensional Poisson Gap scheduling
Abstract The fast Fourier transformation has been the gold standard for transforming data from time to frequency domain in many spectroscopic methods, including NMR. While reliable, it has as a drawback that it requires a grid of uniformly sampled data points. This needs very long measuring times for sampling in multidimensional experiments in all indirect dimensions uniformly and even does not allow reaching optimal evolution times that would...
nmrlearner
Journal club
0
02-16-2012 05:24 AM
Analysis of non-uniformly sampled spectra with Multi-Dimensional Decomposition
Analysis of non-uniformly sampled spectra with Multi-Dimensional Decomposition
Publication year: 2011
Source: Progress in Nuclear Magnetic Resonance Spectroscopy, In Press, Accepted Manuscript, Available online 24 February 2011</br>
Vladislav Yu., Orekhov , Victor A., Jaravine</br>
More...
nmrlearner
Journal club
0
02-26-2011 01:07 PM
FM reconstruction of non-uniformly sampled protein NMR data at higher dimensions and optimization by distillation
FM reconstruction of non-uniformly sampled protein NMR data at higher dimensions and optimization by distillation
Abstract Non-uniform sampling (NUS) enables recording of multidimensional NMR data at resolutions matching the resolving power of modern instruments without using excessive measuring time. However, in order to obtain satisfying results, efficient reconstruction methods are needed. Here we describe an optimized version of the Forward Maximum entropy (FM) reconstruction method, which can reconstruct up to three indirect dimensions. For complex datasets, such as NOESY spectra,...