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Abstract #1959

Accelerating NMR spectroscopy with low rank constraint on time domain signal

Xiaobo Qu 1 , Maxim Mayzel 2 , Jian-Feng Cai 3 , Zhong Chen 1 , and Vladislav Orekhov 2

1 Department of Electronic Science, Xiamen University, Xiamen, Fujian, China, 2 Swedish NMR Centre, University of Gothenburg, Gothenburg, Sweden, 3 Department of Mathematics, University of Iowa, Iowa City, Iowa, United States

Accelerated multi-dimensional NMR spectroscopy is a prerequisite for studying short-lived molecular systems, monitoring chemical reactions in real-time, high-throughput applications, etc. Non-uniform sampling is a common approach to reduce the measurement time. Here, we introduce a new method for high quality spectra reconstruction from non-uniformly sampled data, which is based on recent developments in the field of signal processing theory and utilizes 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.

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