Human cone response models for optoretinography with  F-SS-OCT and adaptive optics

Ewelina Pijewska; Denise Valente; Kari Vienola; Ratheesh K. Meleppat; Robert J. Zawadzki; Ravi S. Jonnal

doi:10.1117/12.3003156

8 April 2024 Human cone response models for optoretinography with F-SS-OCT and adaptive optics

Ewelina Pijewska, Denise Valente, Kari Vienola, Ratheesh K. Meleppat, Robert J. Zawadzki, Ravi S. Jonnal

Proceedings Volume PC12824, Ophthalmic Technologies XXXIV; PC128240J (2024) https://doi.org/10.1117/12.3003156
Event: SPIE BiOS, 2024, San Francisco, California, United States

Abstract

Recent investigations in humans have shown that rod and cone outer segments (ROS and COS, respectively) elongate in response to visual stimuli. Specifically, in phase-based optoretinographic (ORG) the relative phases of backscattered light from photoreceptors' inner segment / outer segments (IS/OS) junction and the COS tips (COST), or ROS tips (ROST), is measured, which allows observation of stimulus-evoked, nanometer-scale changes in the OS length. In this manuscript, we used a cellular resolution AO-OCT system employing an FF-SS-OCT acquisition engine that allowed up to kHz volume acquisition rates, which greatly reduced retinal motion artifacts. ORG responses were recorded in two healthy volunteers, with photopigment bleaching levels in the range of 1-60 %, and modeled using an exponential sum. The proposed harmonic oscillator-based response model allowed us to describe the shape of the cone's ORG responses by amplitudes of deflection and relaxation times. The development of simple quantitative parameters describing the ORG response should benefit future clinical applications and help to track the progress of blinding diseases.

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Ewelina Pijewska, Denise Valente, Kari Vienola, Ratheesh K. Meleppat, Robert J. Zawadzki, and Ravi S. Jonnal "Human cone response models for optoretinography with F-SS-OCT and adaptive optics", Proc. SPIE PC12824, Ophthalmic Technologies XXXIV, PC128240J (8 April 2024); https://doi.org/10.1117/12.3003156

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KEYWORDS

Adaptive optics

Modeling

Carbon monoxide

Motion models

Adaptive optics optical coherence tomography

Biomedical applications

Diseases and disorders

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