Evidence map›Paper›PMID 37159293›Full record

ReviewAnnual review of biophysics2023

Quantitative Single-Molecule Localization Microscopy.

Siewert Hugelier, P L Colosi, Melike Lakadamyali

Abstract readReview
In one paragraph

Review in Annual review of biophysics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.

0numbers the graph read from it
0cells of the map it votes in
31citing 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

31 citing papers in PubMed.

  1. Article
  2. Review
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  4. Review
  5. Review
  6. Article
  7. Artificial Intelligence in Label-Free Optical Imaging Applications.Methods in molecular biology (Clifton, N.J.) · 2026
    Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Single-Molecule Vibrational Thermometry.The journal of physical chemistry. B · 2025
    Article
  14. Review
  15. Review
  16. Article
  17. Review
  18. Article
  19. Article
  20. Cluster parameter-based DBSCAN maps for image characterization.Computational and structural biotechnology journal · 2025
    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

3 authors.

Siewert HugelierDepartment of Physiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA; email: melikel@pennmedicine.upenn.edu, Siewert.Hugelier@Pennmedicine.upenn.edu, pcolosi@pennmedicine.upenn.edu.
P L ColosiDepartment of Physiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA; email: melikel@pennmedicine.upenn.edu, Siewert.Hugelier@Pennmedicine.upenn.edu, pcolosi@pennmedicine.upenn.edu.
Melike LakadamyaliDepartment of Physiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA; email: melikel@pennmedicine.upenn.edu, Siewert.Hugelier@Pennmedicine.upenn.edu, pcolosi@pennmedicine.upenn.edu.

Funding

Calibration nanotemplates as universal standards for determining protein copy number in super-resolution microscopyR01GM133842 · NIGMS · UNIVERSITY OF PENNSYLVANIA · PI LAKADAMYALI, MELIKE · 2019 to 2022
$1.7M
NIGMS NIH HHS R01 GM133842
6 · The paper itself

Abstract

Super-resolution fluorescence microscopy allows the investigation of cellular structures at nanoscale resolution using light. Current developments in super-resolution microscopy have focused on reliable quantification of the underlying biological data. In this review, we first describe the basic principles of super-resolution microscopy techniques such as stimulated emission depletion (STED) microscopy and single-molecule localization microscopy (SMLM), and then give a broad overview of methodological developments to quantify super-resolution data, particularly those geared toward SMLM data. We cover commonly used techniques such as spatial point pattern analysis, colocalization, and protein copy number quantification but also describe more advanced techniques such as structural modeling, single-particle tracking, and biosensing. Finally, we provide an outlook on exciting new research directions to which quantitative super-resolution microscopy might be applied.

Indexed as

Single Molecule ImagingMicroscopy, Fluorescencequantitative analysisquantitative cell biologysingle-molecule localization microscopysuper-resolution nanoscopy

Identifiers

PMID37159293
PMCPMC11268362

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.