Evidence map›Paper›PMID 26325414›Full record

ArticleInvestigative ophthalmology & visual science2015

Assessment of Different Sampling Methods for Measuring and Representing Macular Cone Density Using Flood-Illuminated Adaptive Optics.

Shu Feng, Michael J Gale, Jonathan D Fay, Ambar Faridi, Hope E Titus, Anupam K Garg, Keith V Michaels, Laura R Erker, Dawn Peters, Travis B Smith and 1 more

Abstract read
In one paragraph

Article in Investigative ophthalmology & visual science, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

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0cells of the map it votes in
23citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

23 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

11 authors.

Shu Feng
Michael J Gale
Jonathan D Fay
Ambar Faridi
Hope E Titus
Anupam K Garg
Keith V Michaels
Laura R Erker
Dawn Peters
Travis B Smith
Mark E Pennesi

Funding

Serotonin Receptor Modulation of Neurotrophic Factors in the RetinaK08EY021186 · NEI · OREGON HEALTH & SCIENCE UNIVERSITY · PI PENNESI, MARK E · 2011 to 2015
$824k
NEI NIH HHS 1 K08 EY021186-01NEI NIH HHS K08 EY021186
6 · The paper itself

Abstract

purposeTo describe a standardized flood-illuminated adaptive optics (AO) imaging protocol suitable for the clinical setting and to assess sampling methods for measuring cone density.

methodsCone density was calculated following three measurement protocols: 50 × 50-μm sampling window values every 0.5° along the horizontal and vertical meridians (fixed-interval method), the mean density of expanding 0.5°-wide arcuate areas in the nasal, temporal, superior, and inferior quadrants (arcuate mean method), and the peak cone density of a 50 × 50-μm sampling window within expanding arcuate areas near the meridian (peak density method). Repeated imaging was performed in nine subjects to determine intersession repeatability of cone density.

resultsCone density montages could be created for 67 of the 74 subjects. Image quality was determined to be adequate for automated cone counting for 35 (52%) of the 67 subjects. We found that cone density varied with different sampling methods and regions tested. In the nasal and temporal quadrants, peak density most closely resembled histological data, whereas the arcuate mean and fixed-interval methods tended to underestimate the density compared with histological data. However, in the inferior and superior quadrants, arcuate mean and fixed-interval methods most closely matched histological data, whereas the peak density method overestimated cone density compared with histological data. Intersession repeatability testing showed that repeatability was greatest when sampling by arcuate mean and lowest when sampling by fixed interval.

conclusionsWe show that different methods of sampling can significantly affect cone density measurements. Therefore, care must be taken when interpreting cone density results, even in a normal population.

Indexed as

Optical PhenomenaAdolescentAdultAgedCell CountFemaleHumansLightingMacula LuteaMaleMiddle AgedOphthalmoscopyPhotographyReproducibility of ResultsRetinal Cone Photoreceptor CellsVisual Fields

Identifiers

PMID26325414
PMCPMC4559213

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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.