Evidence map›Paper›PMID 33896200›Full record

ArticlePhilosophical transactions. Series A, Mathematical, physical, and engineering sciences2021

Extended mechanical force measurements using structured illumination microscopy.

Kseniya Korobchevskaya, Huw Colin-York, Liliana Barbieri, Marco Fritzsche

Abstract read
In one paragraph

Article in Philosophical transactions. Series A, Mathematical, physical, and engineering sciences, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

4 authors.

Kseniya KorobchevskayaKennedy Institute for Rheumatology, Roosevelt Drive, University of Oxford, Oxford OX3 7LF, UK.
Huw Colin-YorkKennedy Institute for Rheumatology, Roosevelt Drive, University of Oxford, Oxford OX3 7LF, UK.
Liliana BarbieriMRC Human Immunology Unit, Weatherall Institute of Molecular Medicine, University of Oxford, Headley Way, Oxford OX3 9DS, UK.
Marco FritzscheKennedy Institute for Rheumatology, Roosevelt Drive, University of Oxford, Oxford OX3 7LF, UK.

Funding

Wellcome Trust 100262Wellcome Trust 212343
6 · The paper itself

Abstract

Quantifying cell generated mechanical forces is key to furthering our understanding of mechanobiology. Traction force microscopy (TFM) is one of the most broadly applied force probing technologies, but its sensitivity is strictly dependent on the spatio-temporal resolution of the underlying imaging system. In previous works, it was demonstrated that increased sampling densities of cell derived forces permitted by super-resolution fluorescence imaging enhanced the sensitivity of the TFM method. However, these recent advances to TFM based on super-resolution techniques were limited to slow acquisition speeds and high illumination powers. Here, we present three novel TFM approaches that, in combination with total internal reflection, structured illumination microscopy and astigmatism, improve the spatial and temporal performance in either two-dimensional or three-dimensional mechanical force quantification, while maintaining low illumination powers. These three techniques can be straightforwardly implemented on a single optical set-up offering a powerful platform to provide new insights into the physiological force generation in a wide range of biological studies. This article is part of the Theo Murphy meeting issue 'Super-resolution structured illumination microscopy (part 1)'.

Indexed as

AnimalsBiophysical PhenomenaCell AdhesionCell Physiological PhenomenaComputer SimulationHumansImaging, Three-DimensionalLightMechanical PhenomenaMicroscopy, Atomic ForceMicroscopy, FluorescenceSpatio-Temporal Analysisstructured illumination microscopysuper-resolutiontraction force microscopy

Identifiers

PMID33896200
PMCPMC7612033

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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.