Evidence map›Paper›PMID 30061677›Full record

ArticleNature methods2018

Artifact-free high-density localization microscopy analysis.

Richard J Marsh, Karin Pfisterer, Pauline Bennett, Liisa M Hirvonen, Mathias Gautel, Gareth E Jones, Susan Cox

Abstract read
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In one paragraph

Article in Nature methods, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers.

0numbers the graph read from it
0cells of the map it votes in
34citing 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

34 citing papers in PubMed.

  1. Article
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  9. Review
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  14. Single-molecule localization microscopy.Nature reviews. Methods primers · 2021
    Article
  15. Article
  16. 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

7 authors.

Richard J MarshRandall Centre for Cell and Molecular Biophysics, King's College London, London, UK.
Karin PfistererRandall Centre for Cell and Molecular Biophysics, King's College London, London, UK.
Pauline BennettRandall Centre for Cell and Molecular Biophysics, King's College London, London, UK.
Liisa M HirvonenRandall Centre for Cell and Molecular Biophysics, King's College London, London, UK.ORCID http://orcid.org/0000-0002-8616-8415
Mathias GautelRandall Centre for Cell and Molecular Biophysics, King's College London, London, UK.
Gareth E JonesRandall Centre for Cell and Molecular Biophysics, King's College London, London, UK.
Susan CoxRandall Centre for Cell and Molecular Biophysics, King's College London, London, UK. susan.cox@kcl.ac.uk.ORCID http://orcid.org/0000-0001-8322-1981

Funding

British Heart Foundation CH/08/001/25300British Heart Foundation RG/15/8/31480Medical Research Council G1100041Medical Research Council MR/J010456/1Medical Research Council MR/K015664/1Medical Research Council MR/R003106/1
6 · The paper itself

Abstract

High-density analysis methods for localization microscopy increase acquisition speed but produce artifacts. We demonstrate that these artifacts can be eliminated by the combination of Haar wavelet kernel (HAWK) analysis with standard single-frame fitting. We tested the performance of this method on synthetic, fixed-cell, and live-cell data, and found that HAWK preprocessing yielded reconstructions that reflected the structure of the sample, thus enabling high-speed, artifact-free super-resolution imaging of live cells.

Indexed as

AlgorithmsArtifactsImage Processing, Computer-AssistedMicroscopy, Fluorescence

Identifiers

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.