Evidence map›Paper›PMID 32142297›Full record

ArticleNano letters2020

Fluctuation-Based Super-Resolution Traction Force Microscopy.

Aki Stubb, Romain F Laine, Mitro Miihkinen, Hellyeh Hamidi, Camilo Guzmán, Ricardo Henriques, Guillaume Jacquemet, Johanna Ivaska

Open access · hybridAbstract read
In one paragraph

Article in Nano letters, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers.

0numbers the graph read from it
0cells of the map it votes in
35citing papers in PubMed
5.5field-weighted citation impact, top 3% of its field
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

35 citing papers in PubMed, 70 citations in OpenAlex.

  1. Review
  2. ONE microscopy.Nature protocols · 2026
    Review
  3. Traction Force Microscopy for Viscoelastic Substrates: A Semi-Analytical Method.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Article
  4. Article
  5. Traction Force Microscopy with DNA FluoroCubes.Langmuir : the ACS journal of surfaces and colloids · 2026
    Article
  6. Review
  7. Review
  8. Article
  9. Review
  10. Cell-cell communication: new insights and clinical implications.Signal transduction and targeted therapy · 2024
    Review
  11. Review
  12. Molecular Force Sensors for Biological Application.International journal of molecular sciences · 2024
    Review
  13. Article
  14. Article
  15. Review
  16. Article
  17. Article
  18. Biophysical Approaches for Applying and Measuring Biological Forces.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2022
    Review
  19. Article
  20. Super-Resolution Radial Fluctuations (SRRF) Microscopy.Methods in molecular biology (Clifton, N.J.) · 2022
    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

8 authors at 2 institutions in 2 countries.

Aki StubbTurku Bioscience Centre, University of Turku and Åbo Akademi University, FI-20520 Turku, Finland.
Romain F LaineMRC-Laboratory for Molecular Cell Biology, University College London, London WC1E 6BT, U.K.ORCID 0000-0002-2151-4487
Mitro MiihkinenTurku Bioscience Centre, University of Turku and Åbo Akademi University, FI-20520 Turku, Finland.
Hellyeh HamidiTurku Bioscience Centre, University of Turku and Åbo Akademi University, FI-20520 Turku, Finland.
Camilo GuzmánTurku Bioscience Centre, University of Turku and Åbo Akademi University, FI-20520 Turku, Finland.
Ricardo HenriquesMRC-Laboratory for Molecular Cell Biology, University College London, London WC1E 6BT, U.K.
Guillaume JacquemetTurku Bioscience Centre, University of Turku and Åbo Akademi University, FI-20520 Turku, Finland.
Johanna IvaskaTurku Bioscience Centre, University of Turku and Åbo Akademi University, FI-20520 Turku, Finland.ORCID 0000-0002-6295-6556
Åbo Akademi University · FIThe Francis Crick Institute · GB

Funding

Biotechnology and Biological Sciences Research Council BB/S507532/1Medical Research Council MR/K015826/1Medical Research Council MR/T027924/1Wellcome TrustWellcome Trust 203276/Z/16/Z
6 · The paper itself

Abstract

Cellular mechanics play a crucial role in tissue homeostasis and are often misregulated in disease. Traction force microscopy is one of the key methods that has enabled researchers to study fundamental aspects of mechanobiology; however, traction force microscopy is limited by poor resolution. Here, we propose a simplified protocol and imaging strategy that enhances the output of traction force microscopy by increasing i) achievable bead density and ii) the accuracy of bead tracking. Our approach relies on super-resolution microscopy, enabled by fluorescence fluctuation analysis. Our pipeline can be used on spinning-disk confocal or widefield microscopes and is compatible with available analysis software. In addition, we demonstrate that our workflow can be used to gain biologically relevant information and is suitable for fast long-term live measurement of traction forces even in light-sensitive cells. Finally, using fluctuation-based traction force microscopy, we observe that filopodia align to the force field generated by focal adhesions.

Indexed as

Biomechanical PhenomenaCell Line, TumorFocal AdhesionsHumansMicroscopy, Atomic ForceMicroscopy, ConfocalOptical ImagingPseudopodiaFluctuation-based super-resolution microscopylive imagingmechanobiologySACDSRRFtraction force microscopy

Identifiers

PMID32142297
PMCPMC7146861
OpenAlexW3009993660

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.