Evidence map›Paper›PMID 28257206›Full record

ArticleThe journal of physical chemistry. A2017

A New Wavelet Denoising Method for Experimental Time-Domain Signals: Pulsed Dipolar Electron Spin Resonance.

Madhur Srivastava, Elka R Georgieva, Jack H Freed

Abstract read
In one paragraph

Article in The journal of physical chemistry. A, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing 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

25 citing papers in PubMed.

  1. Signaling mechanism of the transmembrane energy receptor Aer.bioRxiv : the preprint server for biology · 2026
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  11. Microsecond Exchange Processes Studied by Two-Dimensional ESR at 95 GHz.Journal of the American Chemical Society · 2020
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  14. Chemical communications (Cambridge, England) · 2020
    Article
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  18. Insights into histidine kinase activation mechanisms from the monomeric blue light sensor EL346.Proceedings of the National Academy of Sciences of the United States of America · 2019
    Article
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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

3 authors.

Madhur SrivastavaNational Biomedical Center for Advanced ESR Technology, ‡Meinig School of Biomedical Engineering, and §Department of Chemistry and Chemical Biology, Cornell University , Ithaca, New York 14853, United States.
Elka R GeorgievaNational Biomedical Center for Advanced ESR Technology, ‡Meinig School of Biomedical Engineering, and §Department of Chemistry and Chemical Biology, Cornell University , Ithaca, New York 14853, United States.
Jack H FreedNational Biomedical Center for Advanced ESR Technology, ‡Meinig School of Biomedical Engineering, and §Department of Chemistry and Chemical Biology, Cornell University , Ithaca, New York 14853, United States.ORCID http://orcid.org/0000-0003-4288-2585

Funding

TR&D 4 for ACERT, 2017-2021 funding periodP41GM103521 · NIGMS · CORNELL UNIVERSITY · PI FREED, JACK H · 2012 to 2021
$11.7M
NIGMS NIH HHS P41 GM103521
6 · The paper itself

Abstract

We adapt a new wavelet-transform-based method of denoising experimental signals to pulse-dipolar electron-spin resonance spectroscopy (PDS). We show that signal averaging times of the time-domain signals can be reduced by as much as 2 orders of magnitude, while retaining the fidelity of the underlying signals, in comparison with noiseless reference signals. We have achieved excellent signal recovery when the initial noisy signal has an SNR ≳ 3. This approach is robust and is expected to be applicable to other time-domain spectroscopies. In PDS, these time-domain signals representing the dipolar interaction between two electron spin labels are converted into their distance distribution functions P(r), usually by regularization methods such as Tikhonov regularization. The significant improvements achieved by using denoised signals for this regularization are described. We show that they yield P(r)'s with more accurate detail and yield clearer separations of respective distances, which is especially important when the P(r)'s are complex. Also, longer distance P(r)'s, requiring longer dipolar evolution times, become accessible after denoising. In comparison to standard wavelet denoising approaches, it is clearly shown that the new method (WavPDS) is superior.

Identifiers

PMID28257206
PMCPMC5553325

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Registered trials

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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.