Evidence map›Paper›PMID 33548405›Full record

ArticleMethods (San Diego, Calif.)2021

TopoStats - A program for automated tracing of biomolecules from AFM images.

Joseph G Beton, Robert Moorehead, Luzie Helfmann, Robert Gray, Bart W Hoogenboom, Agnel Praveen Joseph, Maya Topf, Alice L B Pyne

Abstract read
In one paragraph

Article in Methods (San Diego, Calif.), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing 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

27 citing papers in PubMed.

  1. Automating Model Building for SPM Images of Biomolecules Using MISO.Journal of chemical information and modeling · 2026
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  16. Two codependent routes lead to high-level MRSA.Science (New York, N.Y.) · 2024
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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

8 authors.

Joseph G BetonInstitute of Structural and Molecular Biology, Birkbeck, University of London, London WC1E 7HX, UK; Centre for Structural Systems Biology, Heinrich-Pette-Institut, Leibniz-Institut für Experimentelle Virologie and Universitätsklinikum Hamburg Eppendorf, Hamburg, Germany.
Robert MooreheadThe Henry Royce Institute and Department of Materials Science and Engineering, The University of Sheffield, Sir Robert Hadfield Building, Sheffield S1 3JD, United Kingdom; Department of Materials Science and Engineering, University of Sheffield, Sheffield S1 3JD, UK.
Luzie HelfmannInstitute of Structural and Molecular Biology, Birkbeck, University of London, London WC1E 7HX, UK; London Centre for Nanotechnology, University College London, London WC1H 0AH, UK.
Robert GrayInstitute of Structural and Molecular Biology, Birkbeck, University of London, London WC1E 7HX, UK; London Centre for Nanotechnology, University College London, London WC1H 0AH, UK.
Bart W HoogenboomLondon Centre for Nanotechnology, University College London, London WC1H 0AH, UK.
Agnel Praveen JosephInstitute of Structural and Molecular Biology, Birkbeck, University of London, London WC1E 7HX, UK.
Maya TopfInstitute of Structural and Molecular Biology, Birkbeck, University of London, London WC1E 7HX, UK; Centre for Structural Systems Biology, Heinrich-Pette-Institut, Leibniz-Institut für Experimentelle Virologie and Universitätsklinikum Hamburg Eppendorf, Hamburg, Germany.
Alice L B PyneDepartment of Materials Science and Engineering, University of Sheffield, Sheffield S1 3JD, UK; London Centre for Nanotechnology, University College London, London WC1H 0AH, UK. Electronic address: a.l.pyne@sheffield.ac.uk.

Funding

Medical Research Council MR/M019292/1Medical Research Council MR/R024871/1Medical Research Council MR/R024871/2Wellcome TrustWellcome Trust 209250/Z/17/Z
6 · The paper itself

Abstract

We present TopoStats, a Python toolkit for automated editing and analysis of Atomic Force Microscopy images. The program automates identification and tracing of individual molecules in circular and linear conformations without user input. TopoStats was able to identify and trace a range of molecules within AFM images, finding, on average, ~90% of all individual molecules and molecular assemblies within a wide field of view, and without the need for prior processing. DNA minicircles of varying size, DNA origami rings and pore forming proteins were identified and accurately traced with contour lengths of traces typically within 10 nm of the predicted contour length. TopoStats was also able to reliably identify and trace linear and enclosed circular molecules within a mixed population. The program is freely available via GitHub (https://github.com/afm-spm/TopoStats) and is intended to be modified and adapted for use if required.

Indexed as

Microscopy, Atomic ForceAutomation, LaboratoryDNADNAAtomic Force Microscopy (AFM)Biomolecular structureDNAImage analysisPython scriptingSingle-molecule imaging

Identifiers

PMID33548405
PMCPMC8340030

What OpenQuestion holds

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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.