- Title Information
- Title
- MATLAB script to analyze efficacy and safety data of plasmonic retinal prosthesis
- Type of Resource (primo)
- research_datasets
- 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.
- Name
- Name Part
- Lee, Jonghwan
- Role
- Role Term (marcrelator)
(authorityURI="http://id.loc.gov/vocabulary/relators", valueURI="http://id.loc.gov/vocabulary/relators/cre")
- Creator
- Origin Information
- Date Created
- 2025
- Subject (Local)
- Topic
- Retinal prosthesis
- Subject (Local)
- Topic
- vision restoration
- Subject (Local)
- Topic
- gold nanorod
- Subject (Local)
- Topic
- near-infrared laser
- Subject (Local)
- Topic
- animal research
- Genre
- datasets
- Note:
funding
- This research is funded by the NIH National Eye Institute under award R01EY030569.
- Access Condition:
use and reproduction
(href="https://www.gnu.org/licenses/gpl.txt")
- This work is licensed under a GNU GPL3 License
- Access Condition:
logo
(href="https://www.gnu.org/graphics/gplv3-88x31.png")
- Access Condition:
rights statement
(href="http://rightsstatements.org/vocab/InC/1.0/")
- In Copyright
- Identifier:
DOI
- 10.26300/p63w-zj90