Real-time optimization of nuclear magnetic resonance experiments

被引：12
|
作者：
Song, Y-Q [1 ]
Tang, Yiqiao [1 ]
Hurrlimann, M. D. [1 ]
Cory, D. G. [2 ,3 ,4 ,5 ]
机构：
[1] Schlumberger Doll Res Ctr, Cambridge, MA 02139 USA
[2] Univ Waterloo, Inst Quantum Comp, Waterloo, ON N2L 3G1, Canada
[3] Univ Waterloo, Dept Chem, Waterloo, ON N2L 3G1, Canada
[4] Perimeter Inst Theoret Phys, Waterloo, ON N2L 2Y5, Canada
[5] Canadian Inst Adv Res, Toronto, ON M5G 1Z8, Canada
来源：
JOURNAL OF MAGNETIC RESONANCE | 2018年 / 289卷
基金：
加拿大自然科学与工程研究理事会;
关键词：
NMR; Real-time optimization; Stochastic analysis; NMR-SPECTROSCOPY; SPECTRA; ACQUISITION; INVERSION;
D O I：
10.1016/j.jmr.2018.02.009
中图分类号：
Q5 [生物化学];
学科分类号：
071010 ; 081704 ;
摘要：
Nuclear Magnetic Resonance (NMR) experiments are typically performed with predetermined pulse sequences and acquisition parameters, and are oftentimes sub-optimal for individual samples under investigation. Here we explore a class of real-time optimization methods that conducts stochastic analyses on the acquired data and in turn updates and optimizes the subsequent measurements. We show superiority of the method to static approaches, both in the efficiency and quality of data acquisition, for a wide range of experiments. (C) 2018 Elsevier Inc. All rights reserved.
引用
收藏
页码：72 / 78
页数：7
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