Evidence map›Paper›PMID 24748502›Full record

ReviewHistochemistry and cell biology2014

Progress in quantitative single-molecule localization microscopy.

H Deschout, A Shivanandan, P Annibale, M Scarselli, A Radenovic

Abstract readReview
In one paragraph

Review in Histochemistry and cell biology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers.

0numbers the graph read from it
0cells of the map it votes in
37citing 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

37 citing papers in PubMed.

  1. Near-zero photon bioimaging by fusing deep learning and ultralow-light microscopy.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  2. Review
  3. Video-rate Raman-based metabolic imaging by Airy light-sheet illumination and photon-sparse detection.Proceedings of the National Academy of Sciences of the United States of America · 2023
    Article
  4. Review
  5. Imaging the endocannabinoid signaling system.Journal of neuroscience methods · 2022
    Review
  6. Article
  7. Article
  8. Single-molecule localization microscopy.Nature reviews. Methods primers · 2021
    Article
  9. Article
  10. Article
  11. Article
  12. Review
  13. Article
  14. Article
  15. Article
  16. Article
  17. MINFLUX monitors rapid molecular jumps with superior spatiotemporal resolution.Proceedings of the National Academy of Sciences of the United States of America · 2018
    Article
  18. Article
  19. Spatial and temporal organization of cadherin in punctate adherens junctions.Proceedings of the National Academy of Sciences of the United States of America · 2018
    Article
  20. Correlation analysis framework for localization-based superresolution microscopy.Proceedings of the National Academy of Sciences of the United States of America · 2018
    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

5 authors.

H DeschoutLaboratory of Nanoscale Biology, Institute of Bioengineering, School of Engineering, EPFL, Lausanne, Switzerland.
A Shivanandan
P Annibale
M Scarselli
A Radenovic

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

With the advent of single-molecule localization microscopy (SMLM) techniques, intracellular proteins can be imaged at unprecedented resolution with high specificity and contrast. These techniques can lead to a better understanding of cell functioning, as they allow, among other applications, counting the number of molecules of a protein specie in a single cell, studying the heterogeneity in protein spatial organization, and probing the spatial interactions between different protein species. However, the use of these techniques for accurate quantitative measurements requires corrections for multiple inherent sources of error, including: overcounting due to multiple localizations of a single fluorophore (i.e., photoblinking), undercounting caused by incomplete photoconversion, uncertainty in the localization of single molecules, sample drift during the long imaging time, and inaccurate image registration in the case of dual-color imaging. In this paper, we review recent efforts that address some of these sources of error in quantitative SMLM and give examples in the context of photoactivated localization microscopy (PALM).

Indexed as

Microscopy, FluorescenceMolecular ImagingProteinsProteins

Identifiers

PMID24748502
PMCPMC4072926

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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.