首页|Feasibility Assessment of an Optically Powered Digital Retinal Prosthesis Architecture for Retinal Ganglion Cell Stimulation

Feasibility Assessment of an Optically Powered Digital Retinal Prosthesis Architecture for Retinal Ganglion Cell Stimulation

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Clinical trials previously demonstrated the notable capacity to elicit visual percepts in individuals with visual impairments caused by retinal diseases by electrically stimulating the remaining neurons on the retina. However, these implants restored very limited visual acuity and required transcutaneous cables traversing the eyeball, leading to reduced reliability and complex surgery with high postoperative infection risks. To overcome the limitations imposed by cables, a retinal implant architecture in which near-infrared illumination carries both power and data through the pupil to a digital stimulation controller is presented. A high efficiency multi-junction photovoltaic cell transduces the optical power to a CMOS stimulator capable of delivering flexible interleaved sequential stimulation through a diamond microelectrode array. To demonstrate the capacity to elicit a neural response with this approach while complying with the optical irradiance limit at the pupil, fluorescence imaging with a calcium indicator is used on a degenerate rat retina. The power delivered by the laser at the permissible irradiance of 4 mW/mm2 at 850 nm is shown to be sufficient to both power the stimulator ASIC and elicit a response in retinal ganglion cells (RGCs), with the ability to generate of up to 35 000 pulses per second at the average stimulation threshold. This confirms the feasibility of generating a response in RGCs with an infrared-powered digital architecture capable of delivering complex sequential stimulation patterns at high repetition rates, albeit with some limitations.

Computer architectureRetinaElectrodesImplantsPhotovoltaic cellsOptical transmittersStimulated emissionMicroprocessorsOptical pulsesRadio frequency

William Lemaire、Maher Benhouria、Konin Koua、Wei Tong、Gabriel Martin-Hardy、Melanie Stamp、Kumaravelu Ganesan、Louis-Philippe Gauthier、Marwan Besrour、Arman Ahnood、David John Garrett、Sébastien Roy、Michael R. Ibbotson、Steven Prawer、Réjean Fontaine

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Interdisciplinary Institute for Technological Innovation (3IT), Université de Sherbrooke, Sherbrooke, QC, Canada

Australian College of Optometry, National Vision Research Institute, Carlton, VIC, Australia

School of Physics, The University of Melbourne, Parkville, VIC, Australia

School of Engineering, RMIT University, Melbourne, VIC, Australia

Australian College of Optometry, National Vision Research Institute, Carlton, VIC, Australia|Department of Optometry and Vision Sciences, The University of Melbourne, Parkville, VIC, Australia

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2025

IEEE transactions on neural systems and rehabilitation engineering: a publication of the IEEE Engineering in Medicine and Biology Society
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