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 optical coherence tomography (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 AO-scanning laser opthalmoscope densitometry. High agreement (mean: 91%) was observed between the two modalities in these two 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.
Document Details
- Document Type
- Pub Defense Publication
- Publication Date
- Nov 22, 2022
- Source ID
- 10.1364/boe.473608
Entities
People
- Austin Roorda
- Emily Slezak
- James Fong
- Ramkumar Sabesan
- Ren Ng
- Rishi Upadhyay
- Sierra Schleufer
- Vimal Prabhu Pandiyan
Organizations
- Air Force Office of Scientific Research
- Burroughs Wellcome Fund
- National Eye Institute
- Research to Prevent Blindness
- University of California
- University of Washington