Evidence map›Paper›PMID 29991683›Full record

ArticleScientific reports2018

Quantitative fibre analysis of single-molecule localization microscopy data.

Ruby Peters, Juliette Griffié, Garth L Burn, David J Williamson, Dylan M Owen

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
4.1field-weighted citation impact, top 6% of its field
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

17 citing papers in PubMed, 27 citations in OpenAlex.

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  12. Single-molecule localization microscopy.Nature reviews. Methods primers · 2021
    Article
  13. Super-Resolution Imaging Approaches for Quantifying F-Actin in Immune Cells.Frontiers in cell and developmental biology · 2021
    Review
  14. 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

5 authors at 2 institutions in 2 countries.

Ruby PetersDepartment of Physics and Randall Division of Cell and Molecular Biophysics, King's College London, London, UK. ruby.peters@kcl.ac.uk.
Juliette GriffiéDepartment of Physics and Randall Division of Cell and Molecular Biophysics, King's College London, London, UK.
Garth L BurnCellular Microbiology, Max Planck Institute for Infection Biology, Berlin, Germany.
David J WilliamsonDepartment of Physics and Randall Division of Cell and Molecular Biophysics, King's College London, London, UK.ORCID 0000-0002-6222-6297
Dylan M OwenDepartment of Physics and Randall Division of Cell and Molecular Biophysics, King's College London, London, UK.
King's College London · GBMax Planck Institute for Infection Biology · DE

Funding

EC | European Research Council (ERC) 337187European Research Council 337187
6 · The paper itself

Abstract

Single molecule localization microscopy (SMLM) methods produce data in the form of a spatial point pattern (SPP) of all localized emitters. Whilst numerous tools exist to quantify molecular clustering in SPP data, the analysis of fibrous structures has remained understudied. Taking the SMLM localization coordinates as input, we present an algorithm capable of tracing fibrous structures in data generated by SMLM. Based upon a density parameter tracing routine, the algorithm outputs several fibre descriptors, such as number of fibres, length of fibres, area of enclosed regions and locations and angles of fibre branch points. The method is validated in a variety of simulated conditions and experimental data acquired using the image reconstruction by integrating exchangeable single-molecule localization (IRIS) technique. For this, the nanoscale architecture of F-actin at the T cell immunological synapse in both untreated and pharmacologically treated cells, designed to perturb actin structure, was analysed.

Indexed as

ActinsAlgorithmsHeLa CellsHumansImage Processing, Computer-AssistedJurkat CellsSingle Molecule ImagingSynapsesT-LymphocytesActins

Identifiers

PMID29991683
PMCPMC6039472
OpenAlexW2811141606

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.