Evidence map›Paper›PMID 24064947›Full record

ArticleJournal of biomedical optics2013

Laser speckle contrast imaging of blood flow in rat retinas using an endoscope.

Adrien Ponticorvo, Damon Cardenas, Andrew K Dunn, Daniel Ts'o, Timothy Q Duong

Open access · hybridAbstract read
In one paragraph

Article in Journal of biomedical optics, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
1.8field-weighted citation impact, top 16% 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

17 citing papers in PubMed, 40 citations in OpenAlex.

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  15. Laser Speckle Contrast Imaging to Evaluate Bowel Lesions in Neonates with NEC.European journal of pediatric surgery reports · 2017
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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

5 authors at 4 institutions in 1 country.

Adrien PonticorvoUniversity of Texas Health Science Center, Research Imaging Institute, San Antonio, Texas 78229.
Damon Cardenas
Andrew K Dunn
Daniel Ts'o
Timothy Q Duong
The University of Texas Health Science Center at San Antonio · USSouth Texas Veterans Health Care System · USSUNY Upstate Medical University · USThe University of Texas at Austin · US

Funding

Layer-Specific Functional &Perfusion Imaging of RetinaR01EY014211 · NEI · UNIV OF MASSACHUSETTS MED SCH WORCESTER · PI DUONG, TIMOTHY Q. · 2004 to 2011
$3.0M
Layer-specific imaging of retinal degenerationR01EY018855 · NEI · UNIVERSITY OF TEXAS HLTH SCIENCE CENTER · PI DUONG, TIMOTHY Q. · 2009 to 2012
$769k
NEI NIH HHS R01 EY014211NEI NIH HHS R01 EY018855
6 · The paper itself

Abstract

Laser speckle contrast imaging (LSCI) offers a cost-effective means to image blood flow in vivo. However, it is not commonly used to image rodent retinas because of the challenges associated with imaging through the curved cornea and delivering light through the highly scattering lens. A solution to overcome these problems by using LSCI in conjunction with an endoscope to obtain high spatiotemporal blood flow images is described. Its utility is demonstrated by imaging blood flow changes in rat retinas using hyperoxic, hypercapnic, and visual (flicker) stimulations. Hypercapnia increases blood flow, hyperoxia decreases blood flow, and visual stimulation increases blood flow in the retina relative to basal conditions. The time-to-peak of the LSCI response to visual stimulation is also measured. This approach may prove useful to investigate dysregulation in blood flow-evoked responses in retinal diseases and to evaluate treatment strategies in rodents.

Indexed as

AnimalsDiagnostic ImagingDiagnostic Techniques, CardiovascularEndoscopesHemodynamicsMaleRatsRats, Sprague-DawleyRegional Blood FlowRetinal Vessels

Identifiers

PMID24064947
PMCPMC3782556
OpenAlexW2072809533

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.