Characterizing Cone Spectral Classification by Optoretinography

Abstract

Light propagation in photoreceptor outer segments is affected by photopigment absorption and the phototransduction amplification cascade. Photopigment absorption has been studied using retinal densitometry, while recently, optoretinography (ORG) has provided an avenue to probe changes in outer segment optical path length due to phototransduction. With adaptive optics (AO), both densitometry and ORG have been used for cone spectral classification, based on the differential bleaching signatures of the three cone types. Here, we characterize cone classification by ORG, implemented in an AO line-scan OCT and compare it against densitometry. The cone mosaics of five color normal subjects were classified using ORG showing high probability ([~]0.99), low error (<0.22%), high test-retest reliability ([~]97%) and short imaging durations (< 1 hour). Of these, the cone spectral assignments in two subjects were compared against AOSLO densitometry. High agreement (mean: 91%) was observed between the two modalities in these 2 subjects, with measurements conducted 6-7 years apart. Overall, ORG benefits from higher sensitivity and dynamic range to probe cone photopigments compared to densitometry, and thus provides greater fidelity for cone spectral classification.