Accelerated NMR Spectroscopy with Low-Rank Reconstruction
Accelerated multi‐dimensional NMR spectroscopy is a prerequisite for high‐throughput applications, studying short‐lived molecular systems and monitoring chemical reactions in real time. Non‐uniform sampling is a common approach to reduce the measurement time. Here, a new method for high‐quality spec...
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Published in | Angewandte Chemie International Edition Vol. 54; no. 3; pp. 852 - 854 |
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Main Authors | , , , , |
Format | Journal Article |
Language | English |
Published |
Weinheim
WILEY-VCH Verlag
12.01.2015
WILEY‐VCH Verlag Wiley Subscription Services, Inc |
Edition | International ed. in English |
Subjects | |
Online Access | Get full text |
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Summary: | Accelerated multi‐dimensional NMR spectroscopy is a prerequisite for high‐throughput applications, studying short‐lived molecular systems and monitoring chemical reactions in real time. Non‐uniform sampling is a common approach to reduce the measurement time. Here, a new method for high‐quality spectra reconstruction from non‐uniformly sampled data is introduced, which is based on recent developments in the field of signal processing theory and uses the so far unexploited general property of the NMR signal, its low rank. Using experimental and simulated data, we demonstrate that the low‐rank reconstruction is a viable alternative to the current state‐of‐the‐art technique compressed sensing. In particular, the low‐rank approach is good in preserving of low‐intensity broad peaks, and thus increases the effective sensitivity in the reconstructed spectra.
A low rank is an advantage: High‐quality NMR spectra are reconstructed from a small number of non‐uniformly sampled data points. Significant reduction in measurement time is obtained using the so far unexploited general property of NMR signal—its low rank (see picture; NUS=non‐uniform sampling). |
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Bibliography: | The work was supported by the National Natural Science Foundation of China (61201045, 11375147); Fundamental Research Funds for the Central Universities (PRC) (2013SH002); The Swedish Research Council (grant 2011-5994); US National Science Foundation (DMS-1418737). X.Q. is grateful to the Wenner-Gren Foundation. We thank Dr. L. Isaksson for preparing the CD79b sample. US National Science Foundation - No. DMS-1418737 ark:/67375/WNG-PFTS8R1Q-C istex:EAA922AAFE14EF01CF9CC941749FA9B34598B23A The Swedish Research Council - No. 2011-5994 ArticleID:ANIE201409291 National Natural Science Foundation of China - No. 61201045; No. 11375147; No. 2013SH002 The work was supported by the National Natural Science Foundation of China (61201045, 11375147); Fundamental Research Funds for the Central Universities (PRC) (2013SH002); The Swedish Research Council (grant 2011‐5994); US National Science Foundation (DMS‐1418737). X.Q. is grateful to the Wenner‐Gren Foundation. We thank Dr. L. Isaksson for preparing the CD79b sample. ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 content type line 23 |
ISSN: | 1433-7851 1521-3773 1521-3773 |
DOI: | 10.1002/anie.201409291 |