Evidence map›Paper›PMID 32958921›Full record

ArticleNature methods2020

Genuage: visualize and analyze multidimensional single-molecule point cloud data in virtual reality.

Thomas Blanc, Mohamed El Beheiry, Clément Caporal, Jean-Baptiste Masson, Bassam Hajj

Abstract read
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In one paragraph

Article in Nature methods, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Review
  6. DNA-based computation for multiple biomarkers.Nature biomedical engineering · 2023
    Article
  7. Article
  8. Extended reality for biomedicine.Nature reviews. Methods primers · 2023
    Article
  9. Article
  10. Article
  11. Bioinformatics and the Metaverse: Are We Ready?Frontiers in bioinformatics · 2022
    Article
  12. Article
  13. Article
  14. Review
  15. Article
  16. Review
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.

Thomas Blanc *Laboratoire Physico-Chimie, Institut Curie, PSL Research University, CNRS UMR168, Paris, France.ORCID http://orcid.org/0000-0002-8446-793X
Mohamed El Beheiry *Laboratoire Physico-Chimie, Institut Curie, PSL Research University, CNRS UMR168, Paris, France.
Clément CaporalLaboratoire Physico-Chimie, Institut Curie, PSL Research University, CNRS UMR168, Paris, France.ORCID http://orcid.org/0000-0002-9441-9173
Jean-Baptiste Masson *Decision and Bayesian Computation, CNRS USR 3756, Department of Computational Biology, Institut Pasteur, Paris, France. jean-baptiste.masson@pasteur.fr.ORCID http://orcid.org/0000-0002-5484-9056
Bassam Hajj *Laboratoire Physico-Chimie, Institut Curie, PSL Research University, CNRS UMR168, Paris, France. bassam.hajj@curie.fr.ORCID http://orcid.org/0000-0002-5097-6832

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Experimentally recorded point cloud data, such as those generated by single-molecule localization microscopy, are continuously increasing in size and dimension. Gaining an intuitive understanding and facilitating the analysis of such multidimensional data remains challenging. Here we report a new open-source software platform, Genuage, that enables the easy perception of, interaction with and analysis of multidimensional point clouds in virtual reality. Genuage is compatible with arbitrary multidimensional data extending beyond single-molecule localization microscopy.

Indexed as

SoftwareVirtual RealityAlgorithmsArtificial IntelligenceHeLa CellsHumansImage Processing, Computer-AssistedMitochondriaSingle Molecule ImagingTubulinTubulin

Identifiers

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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.