Evidence map›Paper›PMID 24739158›Full record

ArticleBiophysical journal2014

Fast label-free cytoskeletal network imaging in living mammalian cells.

Pierre Bon, Sandrine Lécart, Emmanuel Fort, Sandrine Lévêque-Fort

Abstract read
In one paragraph

Article in Biophysical journal, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing 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

22 citing papers in PubMed.

  1. Review
  2. Quantitative phase microscopies: accuracy comparison.Light, science & applications · 2024
    Review
  3. Article
  4. Article
  5. Article
  6. Imaging actin organisation and dynamics in 3D.Journal of cell science · 2024
    Article
  7. Review
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  9. Article
  10. Review
  11. Article
  12. Article
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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.

Pierre BonInstitut Langevin, ESPCI ParisTech, Centre National de la Recherche Scientifique, Paris, France; Institut des Sciences Moléculaires d'Orsay (ISMO), Centre National de la Recherche Scientifique, Orsay, France. Electronic address: pierre.bon@espci.fr.
Sandrine LécartCentre de photonique Biomédicale, University Paris Sud, Orsay, France.
Emmanuel FortInstitut Langevin, ESPCI ParisTech, Centre National de la Recherche Scientifique, Paris, France.
Sandrine Lévêque-FortInstitut des Sciences Moléculaires d'Orsay (ISMO), Centre National de la Recherche Scientifique, Orsay, France; Centre de photonique Biomédicale, University Paris Sud, Orsay, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We present a full-field technique that allows label-free cytoskeletal network imaging inside living cells. This noninvasive technique allows monitoring of the cytoskeleton dynamics as well as interactions between the latter and organelles on any timescale. It is based on high-resolution quantitative phase imaging (modified Quadriwave lateral shearing interferometry) and can be directly implemented using any optical microscope without modification. We demonstrate the capability of our setup on fixed and living Chinese hamster ovary cells, showing the cytoskeleton dynamics in lamellipodia during protrusion and mitochondria displacement along the cytoskeletal network. In addition, using the quantitative function of the technique, along with simulation tools, we determined the refractive index of a single tubulin microtubule to be ntubu=2.36±0.6 at λ=527 nm.

Indexed as

Imaging, Three-DimensionalStaining and LabelingAnimalsCHO CellsCricetinaeCricetulusCytoskeletonInterferometryMammalsMicroscopy, Phase-ContrastOptical Phenomena

Identifiers

PMID24739158
PMCPMC4008798

What OpenQuestion holds

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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.