Description
- Abstract:
- Retinal prostheses seek to restore vision in degenerative diseases such as age-related macular degeneration and retinitis pigmentosa. Current methods, including implantable electrodes and optogenetics, are limited by invasiveness and/or spatial resolution, and some nanoparticle-based approaches require intense visible light that could disrupt residual vision. Plasmonic gold nanorods (AuNRs) tuned for near-infrared (NIR) absorption enable photothermal neuromodulation while avoiding visible-light interference, but their use with patterned stimulation for precise activation remains underexplored. Here, we present an intravitreal, anti-Thy1–AuNR strategy that enables wide retinal coverage and primarily engages bipolar cells, a target typically accessed via subretinal injection. Patterned NIR stimulation with a 20 μm scanning spot produced highly localized activation consistent with bipolar-cell engagement via temperature-sensitive ion channels. In vivo, patterned stimulation elicited visual cortex electrocorticogram responses in both wild-type and blind mice without systemic toxicity or significant retinal damage. This approach offers a less invasive, high-resolution, and broadly applicable pathway toward customizable vision restoration.
- Notes:
- This research is funded by the NIH National Eye Institute under award R01EY030569.
Access Conditions
- Use and Reproduction
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- This work is licensed under a GNU GPL3 License
- Rights
- In Copyright
Citation
Lee, Jonghwan,
"MATLAB script to analyze efficacy and safety data of plasmonic retinal prosthesis"
(2025).
(NIH R01EY030569) Plasmonic Retinal Prosthesis, Brown University Open Data Collection.
Brown Digital Repository. Brown University Library.
https://doi.org/10.26300/p63w-zj90
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(NIH R01EY030569) Plasmonic Retinal Prosthesis
This collection is for the preservation and public dissemination of Lee Lab's digital research data and code files created and collected under the NIH National Eye Institute-funded project "Plasmonic Retinal Prosthesis" (NIH R01EY030569). Please cite the digital object identifier (DOI) …... -
Brown University Open Data Collection
This collection contains open and public access data sets created by Brown University faculty and student researchers. Increasingly, publishers and funders are requiring that protocols, data sets, documentation and code underlying publications be retained and preserved in repositories, their locations …...