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Extracting spacing-derived estimates of rod density in healthy retinae

Heather Heitkotter, Emily J Patterson, Erica N. Woertz, Jenna Cava, Mina Gaffney, Iniya Adhan, Johnny Tam, Robert F. Cooper, Joseph Carroll

2022Biomedical Optics Express12 citationsDOIOpen Access PDF

Abstract

Quantification of the rod photoreceptor mosaic using adaptive optics scanning light ophthalmoscopy (AOSLO) remains challenging. Here we demonstrate a method for deriving estimates of rod density and rod:cone ratio based on measures of rod spacing, cone numerosity, and cone inner segment area. Twenty-two AOSLO images with complete rod visualization were used to validate this spacing-derived method for estimating density. The method was then used to estimate rod metrics in an additional 105 images without complete rod visualization. The spacing-derived rod mosaic metrics were comparable to published data from histology. This method could be leveraged to develop large normative databases of rod mosaic metrics, though limitations persist with intergrader variability in assessing cone area and numerosity.

Topics & Concepts

Numerosity adaptation effectVisualizationCone (formal languages)Adaptive opticsScanning laser ophthalmoscopyOpticsOphthalmoscopyComputer scienceArtificial intelligenceComputer visionRetinaPhysicsBiologyAlgorithmPerceptionNeuroscienceRetinal Development and DisordersRetinal Diseases and TreatmentsRetinal Imaging and Analysis
Extracting spacing-derived estimates of rod density in healthy retinae | Litcius