Evidence map›Paper›PMID 24106307›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2013

High-resolution restoration of 3D structures from widefield images with extreme low signal-to-noise-ratio.

Muthuvel Arigovindan, Jennifer C Fung, Daniel Elnatan, Vito Mennella, Yee-Hung Mark Chan, Michael Pollard, Eric Branlund, John W Sedat, David A Agard

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers.

0numbers the graph read from it
0cells of the map it votes in
40citing 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

40 citing papers in PubMed.

  1. Article
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  4. Article
  5. Review
  6. Article
  7. Deconvolution to restore cryo-EM maps with anisotropic resolution.bioRxiv : the preprint server for biology · 2025
    Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. DARTS: an open-source Python pipeline for CaFrontiers in immunology · 2023
    Article
  17. A proposed unified interphase nucleus chromosome structure: Preliminary preponderance of evidence.Proceedings of the National Academy of Sciences of the United States of America · 2022
    Article
  18. A proposed unified mitotic chromosome architecture.Proceedings of the National Academy of Sciences of the United States of America · 2022
    Article
  19. Article
  20. Article
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

9 authors.

Muthuvel ArigovindanDepartment of Biochemistry and Biophysics and Keck Advanced Microscopy Center, University of California, San Francisco, CA 94158.
Jennifer C Fung
Daniel Elnatan
Vito Mennella
Yee-Hung Mark Chan
Michael Pollard
Eric Branlund
John W Sedat
David A Agard

Funding

GENETICS OF EUCARYOTIC AND PROCARYOTIC ORGANISMST32GM007810 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI ASHRAFI, KAVEH, NARLIKAR, GEETA J · 1985 to 2020
$15.1M
Microtubule Nucleation: Structure & MechanismR01GM031627 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI AGARD, DAVID A. · 1985 to 2016
$6.1M
Kinetics of Chromosome Synapsis During MeiosisR01GM097213 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI FUNG, JENNIFER C · 2011 to 2015
$1.4M
Enabling high-resolution imaging deep in live tissue with adaptive opticsR01GM085502 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI SEDAT, JOHN W · 2008 to 2011
$1.1M
Upgrading the OMX microscope for extended live imaging and fast live 3-D structurS10OD010673 · OD · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI FUNG, JENNIFER C · 2012 to 2012
$178k
Howard Hughes Medical InstituteNIGMS NIH HHS GM031627NIGMS NIH HHS GM085502NIGMS NIH HHS GM097213NIGMS NIH HHS R01 GM031627NIGMS NIH HHS R01 GM085502NIGMS NIH HHS R01 GM097213NIGMS NIH HHS T32 GM007810NIH HHS S10 OD010673
6 · The paper itself

Abstract

Four-dimensional fluorescence microscopy--which records 3D image information as a function of time--provides an unbiased way of tracking dynamic behavior of subcellular components in living samples and capturing key events in complex macromolecular processes. Unfortunately, the combination of phototoxicity and photobleaching can severely limit the density or duration of sampling, thereby limiting the biological information that can be obtained. Although widefield microscopy provides a very light-efficient way of imaging, obtaining high-quality reconstructions requires deconvolution to remove optical aberrations. Unfortunately, most deconvolution methods perform very poorly at low signal-to-noise ratios, thereby requiring moderate photon doses to obtain acceptable resolution. We present a unique deconvolution method that combines an entropy-based regularization function with kernels that can exploit general spatial characteristics of the fluorescence image to push the required dose to extreme low levels, resulting in an enabling technology for high-resolution in vivo biological imaging.

Indexed as

EntropySignal-To-Noise RatioAlgorithmsAnimalsCell LineImaging, Three-DimensionalMicroscopy, FluorescenceModels, MolecularModels, TheoreticalNuclear ProteinsProtein ConformationReproducibility of ResultsSaccharomyces cerevisiaeSaccharomyces cerevisiae ProteinsNuclear ProteinsSaccharomyces cerevisiae ProteinsZip1 protein, S cerevisiae4D microscopylow dose microscopynoise-suppressing regularization

Identifiers

PMID24106307
PMCPMC3808589

What OpenQuestion holds

Textmetadata
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.