Poisson-gap sampling and forward maximum entropy reconstruction for enhancing the resolution and sensitivity of protein NMR data.
Poisson-gap sampling and forward maximum entropy reconstruction for enhancing the resolution and sensitivity of protein NMR data.
复制标题
DOI：
10.1021/ja908004w
复制
发表时间：
2010-02-24
影响因子：
15
通讯作者：
Wagner, Gerhard
中科院分区：
文献类型：
--
作者：
Hyberts, Sven G.;Takeuchi, Koh;Wagner, Gerhard
在包括核磁共振（NMR）在内的许多光谱方法中，傅里叶变换一直是将数据从时域转换到频域的黄金标准。虽然它可靠，但有一个缺点，即它需要均匀采样的数据点网格，这对于衰减信号来说效率不高，而且在处理非衰减信号时还会受到伪影的影响。几十年来，人们已经提出了许多替代的采样和变换方案。它们的共同问题是相对信号幅度不能很好地保留。在这里，我们展示了一种正弦加权泊松间隙分布稀疏采样方案与调频重建相结合的优越性能。在相对信号幅度能被很好保留的同时，我们还发现，与传统的线性采样相比，每单位数据采集时间的信噪比提高了多达四倍。
The Fourier transform has been the gold standard to transform 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 uniformely sampled data points, which is not efficient for decaying signals, while it also suffers from artifacts when dealing with non-decaying signals. Over several decades many alternative sampling and transformation schemes have been proposed. Their common problem is that relative signal amplitudes are not well preserved. Here we demonstrate superior performance of a sine-weighted Poisson gap distribution sparse sampling scheme, combined with FM reconstruction. While the relative signal amplitudes are well preserved, we also find that the signal-to-noise ratio is enhanced up to four fold per unit of data acquisition time as compared to the traditional linear sampling.
登录
查看更多内容
影响因子：
2.7
作者：
Hyberts SG;Frueh DP;Arthanari H;Wagner G
通讯作者：
Wagner G
影响因子：
2.2
作者：
Kazimierczuk, Krzysztof;Zawadzka, Anna;Kozminski, Wiktor
通讯作者：
Kozminski, Wiktor
影响因子：
2.7
作者：
DELAGLIO, F;GRZESIEK, S;BAX, A
通讯作者：
BAX, A
影响因子：
15
作者：
Stern, AS;Li, KB;Hoch, JC
通讯作者：
Hoch, JC
影响因子：
15
作者：
Hyberts, Sven G.;Heffron, Gregory J.;Wagner, Gerhard
通讯作者：
Wagner, Gerhard