Evidence map›Paper›PMID 27231587›Full record

ArticleBiomedical optics express2016

Sensitivity of laser speckle contrast imaging to flow perturbations in the cortex.

Mitchell A Davis, Louis Gagnon, David A Boas, Andrew K Dunn

Abstract read
In one paragraph

Article in Biomedical optics express, 2016. 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. Minimally Invasive Bowel Cancer Detection through Vibrating Microrobot-Induced Elastography.Advanced intelligent systems (Weinheim an der Bergstrasse, Germany) · 2025
    Article
  2. Article
  3. Article
  4. Wide dynamic range measurement of blood flowJournal of biomedical optics · 2024
    Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Dynamic light scattering imaging.Science advances · 2020
    Article
  14. Article
  15. Article
  16. Poster Viewing Sessions PB01-B01 to PB03-V09.Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism · 2019
    Article
  17. Article
  18. 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.

Mitchell A DavisDepartment of Biomedical Engineering, The University of Texas at Austin, Austin, TX 78712, USA.
Louis GagnonMartinos Center for Biomedical Imaging, Massachusetts General Hospital, Harvard Medical School, Charlestown, Massachusetts 02129, USA.
David A BoasMartinos Center for Biomedical Imaging, Massachusetts General Hospital, Harvard Medical School, Charlestown, Massachusetts 02129, USA.
Andrew K DunnDepartment of Biomedical Engineering, The University of Texas at Austin, Austin, TX 78712, USA.

Funding

Optical Imaging of Baseline Blood Flow and Oxygenation During StrokeR01EB011556 · NIBIB · UNIVERSITY OF TEXAS AT AUSTIN · PI DUNN, ANDREW K · 2010 to 2018
$3.1M
Microscale Oxygenation Mapping During StrokeR01NS082518 · NINDS · UNIVERSITY OF TEXAS AT AUSTIN · PI DUNN, ANDREW K · 2013 to 2017
$1.7M
Neurovascular Mechanisms of Time-Dependencies in Stroke RehabilitationR01NS078791 · NINDS · UNIVERSITY OF TEXAS AT AUSTIN · PI DUNN, ANDREW K, JONES, THERESA A · 2012 to 2016
$1.7M
NIBIB NIH HHS R01 EB011556NINDS NIH HHS R01 NS078791NINDS NIH HHS R01 NS082518
6 · The paper itself

Abstract

Laser speckle contrast imaging has become a ubiquitous tool for imaging blood flow in a variety of tissues. However, due to its widefield imaging nature, the measured speckle contrast is a depth integrated quantity and interpretation of baseline values and the depth dependent sensitivity of those values to changes in underlying flow has not been thoroughly evaluated. Using dynamic light scattering Monte Carlo simulations, the sensitivity of the autocorrelation function and speckle contrast to flow changes in the cerebral cortex was extensively examined. These simulations demonstrate that the sensitivity of the inverse autocorrelation time, [Formula: see text], varies across the field of view: directly over surface vessels [Formula: see text] is strongly localized to the single vessel, while parenchymal ROIs have a larger sensitivity to flow changes at depths up to 500 μm into the tissue and up to 200 μm lateral to the ROI. It is also shown that utilizing the commonly used models the relate [Formula: see text] to flow resulted in nearly the same sensitivity to the underlying flow, but fail to accurately relate speckle contrast values to absolute [Formula: see text].

Indexed as

(170.6480) Spectroscopy, speckle(290.4210) Multiple scattering(290.7050) Turbid media

Identifiers

PMID27231587
PMCPMC4866454

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.