Evidence map›Paper›PMID 38404315›Full record

ArticleBiomedical optics express2024

Validation of an automated method for studying retinal capillary blood flow.

Srividya Neriyanuri, Phillip Bedggood, R C Andrew Symons, Andrew B Metha

Abstract read
In one paragraph

Article in Biomedical optics express, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Srividya NeriyanuriDepartment of Optometry and Vision Sciences, The University of Melbourne, VIC 3053, Australia.ORCID https://orcid.org/0000-0001-8729-108X
Phillip BedggoodDepartment of Optometry and Vision Sciences, The University of Melbourne, VIC 3053, Australia.ORCID https://orcid.org/0000-0001-5144-3694
R C Andrew SymonsDepartment of Optometry and Vision Sciences, The University of Melbourne, VIC 3053, Australia.
Andrew B MethaDepartment of Optometry and Vision Sciences, The University of Melbourne, VIC 3053, Australia.ORCID https://orcid.org/0000-0003-2997-4362

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Two major approaches for tracking cellular motion across a range of biological tissues are the manual labelling of cells, and automated analysis of spatiotemporal information represented in a kymograph. Here we compare these two approaches for the measurement of retinal capillary flow, a particularly noisy application due to the low intrinsic contrast of single red blood cells (erythrocytes). Image data were obtained using a flood-illuminated adaptive optics ophthalmoscope at 750 nm, allowing the acquisition of flow information over several cardiac cycles which provided key information in evaluating tracking accuracy. Our results show that in addition to being much faster, the automated method is more accurate in the face of rapid flow and reduced image contrast. This study represents the first validation of commonly used kymograph approaches to capillary flow analysis.

Identifiers

PMID38404315
PMCPMC10890846

What OpenQuestion holds

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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.