Poisson-Gap Sampling and Forward Maximum Entropy Reconstruction for Enhancing the Resolution and Sensitivity of Protein NMR Data
TLDR
This work demonstrates the superior performance of a sine-weighted Poisson-gap distribution sparse-sampling scheme combined with forward maximum entropy (FM) reconstruction and finds that the signal-to-noise ratio is enhanced up to 4-fold per unit of data acquisition time relative to traditional linear sampling.Abstract:
The Fourier transform has been the gold standard for transforming data from the time domain to the frequency domain in many spectroscopic methods, including NMR spectroscopy. While reliable, it has the drawback that it requires a grid of uniformely sampled data points, which is not efficient for decaying signals, and it also suffers from artifacts when dealing with nondecaying 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 the superior performance of a sine-weighted Poisson-gap distribution sparse-sampling scheme combined with forward maximum entropy (FM) reconstruction. While the relative signal amplitudes are well-preserved, we also find that the signal-to-noise ratio is enhanced up to 4-fold per unit of data acquisition time relative to traditional linear sampling.read more
Citations
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Accelerated NMR Spectroscopy by Using Compressed Sensing
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Application of iterative soft thresholding for fast reconstruction of NMR data non-uniformly sampled with multidimensional Poisson Gap scheduling.
Sven G. Hyberts,Alexander G. Milbradt,Andreas B. Wagner,Andreas B. Wagner,Haribabu Arthanari,Gerhard Wagner +5 more
TL;DR: A fast implementation of the Iterative Soft Thresholding approach (istHMS) that can reconstruct high- resolution non-uniformly sampled NMR data up to four dimensions within a few hours and make routine reconstruction of high-resolution NUS 3D and 4D spectra convenient.
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Ubiquitin Modulates Liquid-Liquid Phase Separation of UBQLN2 via Disruption of Multivalent Interactions
Thuy P. Dao,Regina-Maria Kolaitis,Hong Joo Kim,Kevin J. O'Donovan,Brian Martyniak,Erica G. Colicino,Heidi Hehnly,J. Paul Taylor,J. Paul Taylor,Carlos A. Castañeda +9 more
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Sparse multidimensional iterative lineshape-enhanced (SMILE) reconstruction of both non-uniformly sampled and conventional NMR data.
TL;DR: The appearance and interpretation of SMILE-reconstructed spectra is very similar to that of fully sampled spectra generated by Fourier transformation, and the reconstruction quality approaches the theoretical limit in terms of peak position fidelity and intensity.
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