Evidence map›Paper›PMID 24458236›Full record

ArticleScientific reports2014

The fidelity of stochastic single-molecule super-resolution reconstructions critically depends upon robust background estimation.

Eelco Hoogendoorn, Kevin C Crosby, Daniela Leyton-Puig, Ronald M P Breedijk, Kees Jalink, Theodorus W J Gadella, Marten Postma

Abstract read
In one paragraph

Article in Scientific reports, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 52 papers.

0numbers the graph read from it
0cells of the map it votes in
52citing 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

52 citing papers in PubMed.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors.

Eelco Hoogendoorn1] Section of Molecular Cytology and Van Leeuwenhoek Centre of Advanced Microscopy, Swammerdam Institute for Life Sciences, University of Amsterdam Science Park 904, NL-1098 XH Amsterdam The Netherlands [2].
Kevin C Crosby1] Section of Molecular Cytology and Van Leeuwenhoek Centre of Advanced Microscopy, Swammerdam Institute for Life Sciences, University of Amsterdam Science Park 904, NL-1098 XH Amsterdam The Netherlands [2] [3].
Daniela Leyton-Puig1] Division of Cell Biology and Van Leeuwenhoek Centre of Advanced Microscopy, The Netherlands Cancer Institute, Amsterdam, The Netherlands [2].
Ronald M P BreedijkSection of Molecular Cytology and Van Leeuwenhoek Centre of Advanced Microscopy, Swammerdam Institute for Life Sciences, University of Amsterdam Science Park 904, NL-1098 XH Amsterdam The Netherlands.
Kees JalinkDivision of Cell Biology and Van Leeuwenhoek Centre of Advanced Microscopy, The Netherlands Cancer Institute, Amsterdam, The Netherlands.
Theodorus W J GadellaSection of Molecular Cytology and Van Leeuwenhoek Centre of Advanced Microscopy, Swammerdam Institute for Life Sciences, University of Amsterdam Science Park 904, NL-1098 XH Amsterdam The Netherlands.
Marten PostmaSection of Molecular Cytology and Van Leeuwenhoek Centre of Advanced Microscopy, Swammerdam Institute for Life Sciences, University of Amsterdam Science Park 904, NL-1098 XH Amsterdam The Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The quality of super resolution images obtained by stochastic single-molecule microscopy critically depends on image analysis algorithms. We find that the choice of background estimator is often the most important determinant of reconstruction quality. A variety of techniques have found use, but many have a very narrow range of applicability depending upon the characteristics of the raw data. Importantly, we observe that when using otherwise accurate algorithms, unaccounted background components can give rise to biases on scales defeating the purpose of super-resolution microscopy. We find that a temporal median filter in particular provides a simple yet effective solution to the problem of background estimation, which we demonstrate over a range of imaging modalities and different reconstruction methods.

Indexed as

ActinsAlgorithmsCarbocyaninesCell Line, TumorFluorescent DyesHeLa CellsHumansImage EnhancementImage Interpretation, Computer-AssistedNonmuscle Myosin Type IIANuclear MicroscopyVinculinActinsAlexa Fluor 647CarbocyaninesFluorescent DyesNonmuscle Myosin Type IIAVinculin

Identifiers

PMID24458236
PMCPMC3900998

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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.