Using Virtual Patients to Predict Perceptual Outcomes for Optogenetic Sight Recovery Technologies

framework that quantitatively links the sensitivity and speed of opsin-mediated retinal responses to predicted patient outcomes, and show how this framework can predict temporal contrast sensitivity functions - a well-established measure of perceptual performance - from microbial opsin photocurrent responses. Our simulations demonstrate that opsin sensitivity and kinetics jointly determine perceptual outcomes, and that enhancing sensitivity at the expense of temporal resolution can degrade the perception of fast-moving stimuli. This computational platform provides a generalizable tool for comparing and selecting the most effective opsins for clinical translation, thereby guiding the design and optimization of next-generation sight restoration strategies.

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Publication Details

Journal
bioRxiv (Cold Spring Harbor Laboratory)
Published
2026-04-13
DOI
https://doi.org/10.64898/2026.04.09.716230
Primary Topic
Photoreceptor and optogenetics research
Type
article
Field-Weighted Citation Impact
0.00

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article

Using Virtual Patients to Predict Perceptual Outcomes for Optogenetic Sight Recovery Technologies

Geoffrey M. Boynton, Vaishnavi Mohan, Ione Fine, Ezgi Irmak Yucel
bioRxiv (Cold Spring Harbor Laboratory)
Photoreceptor and optogenetics research
article

Using Virtual Patients to Predict Perceptual Outcomes for Optogenetic Sight Recovery Technologies

Geoffrey M. Boynton, Vaishnavi Mohan, Ione Fine, Ezgi Irmak Yucel
article en

Abstract

framework that quantitatively links the sensitivity and speed of opsin-mediated retinal responses to predicted patient outcomes, and show how this framework can predict temporal contrast sensitivity functions - a well-established measure of perceptual performance - from microbial opsin photocurrent responses. Our simulations demonstrate that opsin sensitivity and kinetics jointly determine perceptual outcomes, and that enhancing sensitivity at the expense of temporal resolution can degrade the perception of fast-moving stimuli. This computational platform provides a generalizable tool for comparing and selecting the most effective opsins for clinical translation, thereby guiding the design and optimization of next-generation sight restoration strategies.

bioRxiv (Cold Spring Harbor Laboratory)
University of Washington (US)
University of Washington
Openalex Percentile: Top 30%
Photoreceptor and optogenetics research
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