Evidence map›Paper›PMID 21562616›Full record

ArticleConcepts in magnetic resonance. Part A, Bridging education and research2008

Maximum Entropy Spectral Reconstruction of Non-Uniformly Sampled Data.

Mehdi Mobli, Jeffrey C Hoch

Abstract read
In one paragraph

Article in Concepts in magnetic resonance. Part A, Bridging education and research, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

28 citing papers in PubMed.

  1. Article
  2. Article
  3. Evaluating metrics of spectral quality in nonuniform sampling.Journal of magnetic resonance open · 2025
    Article
  4. Refining the NaFEBS letters · 2025
    Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Fast 2D NMR Spectroscopy forFrontiers in microbiology · 2017
    Article
  13. Article
  14. Article
  15. Non-uniform sampling of NMR relaxation data.Journal of biomolecular NMR · 2016
    Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Nonuniform sampling and non-Fourier signal processing methods in multidimensional NMR.Progress in nuclear magnetic resonance spectroscopy · 2014
    Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Mehdi MobliUniversity of Connecticut Health Center, Department of Molecular, Microbial, and Structural Biology, 263 Farmington Ave., Farmington, CT 06030-3305 USA.
Jeffrey C Hoch

Funding

T CELL SPECIFIC TRANSCRIPTION COMPLEXESP01GM047467 · NIGMS · HARVARD UNIVERSITY (MEDICAL SCHOOL) · PI WAGNER, GERHARD · 1992 to 2017
$28.6M
NMRA: New Mathematical Methodology for NMR SpectroscopyR01GM072000 · NIGMS · UNIVERSITY OF WISCONSIN-MADISON · PI RON, AMOS · 2004 to 2007
$1.5M
Signal processing software for biomolecular NMRR01RR020125 · NCRR · UNIVERSITY OF CONNECTICUT SCH OF MED/DNT · PI HOCH, JEFFREY C · 2005 to 2008
$1.2M
NCRR NIH HHS R01 RR020125NIGMS NIH HHS P01 GM047467NIGMS NIH HHS R01 GM072000
6 · The paper itself

Abstract

The time required to complete a multidimensional NMR experiment is directly proportional to the number of evolution times sampled in the indirect dimensions. A consequence when utilizing conventional methods of data acquisition and spectrum analysis is that resolution in the indirect dimensions is frequently sample-limited. The problem becomes more acute at very high magnetic fields, where increased chemical shift dispersion requires shorter time increments to avoid aliasing. It has long been recognized that a way to avoid this limitation is to utilize methods of spectrum analysis that do not require data to be sampled at uniform intervals, permitting the collection of data at long evolution times requisite for high resolution without requiring collection of data at all intervening multiples of the sampling interval. Several promising methods have evolved that are seemingly quite different, yet can be shown to yield similar results when applied to similar sampling strategies, emphasizing the importance of the choice of samples, regardless of the technique used to compute the spectrum. Maximum entropy (MaxEnt) reconstruction is a very general method for spectrum analysis of non-uniformly sampled data (NUS), and because it can be used with essentially arbitrary sampling strategies and makes no assumptions about the nature of the signal, it provides a convenient basis for exploring the influence of the choice of samples on spectral quality. In this article we use this versatility of MaxEnt reconstruction to compare different approaches to NUS in multidimensional NMR and suggest strategies for improving spectral quality by careful choice of sample times.

Identifiers

PMID21562616
PMCPMC3090151

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.