Evidence map›Paper›PMID 25251462›Full record

ArticlePloS one2014

Efficient illumination for microsecond tracking microscopy.

David Dulin, Stephane Barland, Xavier Hachair, Francesco Pedaci

Abstract read
In one paragraph

Article in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 citing papers in PubMed.

  1. Article
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  5. Dynamic stiffening of the flagellar hook.Nature communications · 2022
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  10. Holographic Traction Force Microscopy.Scientific reports · 2018
    Article
  11. Catch bond drives stator mechanosensitivity in the bacterial flagellar motor.Proceedings of the National Academy of Sciences of the United States of America · 2017
    Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. 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

4 authors.

David DulinDepartment of Bionanoscience, Kavli Institute of Nanoscience, Delft University of Technology, Delft, The Netherlands.
Stephane BarlandUniversité de Nice Sophia Antipolis, Institut Non-Lineaire de Nice, CNRS UMR 7335, Valbonne, France.
Xavier HachairBBright, Rennes, France.
Francesco PedaciCentre de Biochimie Structurale, CNRS UMR5048, UM1, INSERM UMR1054, Department of Single-Molecule Biophysics, Montpellier, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The possibility to observe microsecond dynamics at the sub-micron scale, opened by recent technological advances in fast camera sensors, will affect many biophysical studies based on particle tracking in optical microscopy. A main limiting factor for further development of fast video microscopy remains the illumination of the sample, which must deliver sufficient light to the camera to allow microsecond exposure times. Here we systematically compare the main illumination systems employed in holographic tracking microscopy, and we show that a superluminescent diode and a modulated laser diode perform the best in terms of image quality and acquisition speed, respectively. In particular, we show that the simple and inexpensive laser illumination enables less than 1 μs camera exposure time at high magnification on a large field of view without coherence image artifacts, together with a good hologram quality that allows nm-tracking of microscopic beads to be performed. This comparison of sources can guide in choosing the most efficient illumination system with respect to the specific application.

Indexed as

LightAlgorithmsCell TrackingHolographyImage EnhancementLasers, SemiconductorLightingMicroscopyMicroscopy, VideoReproducibility of ResultsTime Factors

Identifiers

PMID25251462
PMCPMC4175081

What OpenQuestion holds

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LicenceCC BY
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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.