Evidence map›Paper›PMID 36303782›Full record

ArticleFrontiers in bioinformatics2021

Fourier Ring Correlation and Anisotropic Kernel Density Estimation Improve Deep Learning Based SMLM Reconstruction of Microtubules.

Andreas Berberich, Andreas Kurz, Sebastian Reinhard, Torsten Johann Paul, Paul Ray Burd, Markus Sauer, Philip Kollmannsberger

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Frontiers in bioinformatics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

7 authors.

Andreas BerberichCenter for Computational and Theoretical Biology, University of Wuerzburg, Wuerzburg, Germany.
Andreas KurzDepartment of Biotechnology and Biophysics, University of Wuerzburg, Wuerzburg, Germany.
Sebastian ReinhardDepartment of Biotechnology and Biophysics, University of Wuerzburg, Wuerzburg, Germany.
Torsten Johann PaulCenter for Computational and Theoretical Biology, University of Wuerzburg, Wuerzburg, Germany.
Paul Ray BurdInstitute for Theoretical Physics and Astrophysics, University of Wuerzburg, Wuerzburg, Germany.
Markus SauerDepartment of Biotechnology and Biophysics, University of Wuerzburg, Wuerzburg, Germany.
Philip KollmannsbergerCenter for Computational and Theoretical Biology, University of Wuerzburg, Wuerzburg, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Single-molecule super-resolution microscopy (SMLM) techniques like

Indexed as

deep learning–artificial neural network (DL-ANN)dSTORMmicrotubule cytoskeletonsingle molecule localization microscopysuper-resolution

Identifiers

PMID36303782
PMCPMC9581041

What OpenQuestion holds

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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.