Evidence map›Paper›PMID 35874932›Full record

ArticleNature computational science2021

Colocalization for super-resolution microscopy via optimal transport.

Carla Tameling, Stefan Stoldt, Till Stephan, Julia Naas, Stefan Jakobs, Axel Munk

Abstract read
In one paragraph

Article in Nature computational science, 2021. 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
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  4. Identifying intermolecular interactions in single-molecule localization microscopy.Proceedings of the National Academy of Sciences of the United States of America · 2025
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  5. Review
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  13. BNP-Track: A framework for multi-particle superresolved tracking.bioRxiv : the preprint server for biology · 2023
    Article
  14. Article
  15. Article
  16. Article
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

6 authors.

Carla TamelingInstitute for Mathematical Stochastics, University of Göttingen, Göttingen, Germany.
Stefan StoldtDepartment of NanoBiophotonics, Max Planck Institute for Biophysical Chemistry, Göttingen, Germany.
Till StephanDepartment of NanoBiophotonics, Max Planck Institute for Biophysical Chemistry, Göttingen, Germany.
Julia NaasInstitute for Mathematical Stochastics, University of Göttingen, Göttingen, Germany.
Stefan JakobsDepartment of NanoBiophotonics, Max Planck Institute for Biophysical Chemistry, Göttingen, Germany.
Axel MunkInstitute for Mathematical Stochastics, University of Göttingen, Göttingen, Germany.ORCID https://orcid.org/0000-0002-9181-9331

Funding

European Research Council 835102
6 · The paper itself

Abstract

Super-resolution fluorescence microscopy is a widely used technique in cell biology. Stimulated emission depletion (STED) microscopy enables the recording of multiple-color images with subdiffraction resolution. The enhanced resolution leads to new challenges regarding colocalization analysis of macromolecule distributions. We demonstrate that well-established methods for the analysis of colocalization in diffraction-limited datasets and for coordinate-stochastic nanoscopy are not equally well suited for the analysis of high-resolution STED images. We propose optimal transport colocalization, which measures the minimal transporting cost below a given spatial scale to match two protein intensity distributions. Its validity on simulated data as well as on dual-color STED recordings of yeast and mammalian cells is demonstrated. We also extend the optimal transport colocalization methodology to coordinate-stochastic nanoscopy.

Identifiers

PMID35874932
PMCPMC7613136

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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.