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Goldstein, A. K.

Publications and source records attributed to Goldstein, A. K..

2 recordsLinked to original sources

Maximizing the fidelity of a photovoltaic subretinal prosthesis for human patients

ObjectivePRIMA subretinal implants provide prosthetic vision to patients blinded by age-related macular degeneration, with acuity closely matching the sampling limit of the pixel pitch: a single 100{micro}m pixel per line of a letter corresponds to 20/420 acuity. Decreasing the pixel size in the same flat geometry is difficult due to the constrained electric field, especially considering a 40{micro}m thick debris layer separating the implant from the target neurons. Here we optimize the electrode design to help overcome such limitations. ApproachAn end-to-end modeling pipeline combines the retinal photovoltaic implant simulator (RPSim) based on the Xyce circuit simulator with an interface to COMSOL Multiphysics for electric field modelling. It was used to generate and characterize implants in an open-loop sampling-based optimization. Implant performance was evaluated with respect to voltage drop across bipolar cells (representing the stimulation strength), pattern contrast, and neural selectivity. Main ResultsThe highest selectivity in stimulation of bipolar cells was achieved with arrays having active electrodes on pillars and return electrodes connected in a mesh surrounding the photovoltaic pixels in the array. Such a design, even with pixels down to 20{micro}m, provides stimulation strength exceeding, and contrast similar to that of flat 100{micro}m PRIMA pixels. SignificanceUsing a novel 3-D electrode design, the pitch of the photovoltaic array can be decreased to 20{micro}m, while providing performance that exceeds the flat 100{micro}m PRIMA pixels. In humans, 20{micro}m resolution on the retina corresponds to a visual acuity of 20/80 - a five times improvement compared to the current clinical device.

bioengineering↗

Photovoltaic Implant Simulator Reveals the Resolution Limits in Subretinal Prosthesis

ObjectiveThe photovoltaic subretinal prosthesis, PRIMA, restores central vision in patients blinded by atrophic age-related macular degeneration (AMD), with a resolution closely matching the 100 {micro}m pixel size of the implant. Improvement in resolution requires smaller pixels, but the resultant electric field may not provide sufficient stimulation strength in the inner nuclear layer (INL) or may lead to excessive crosstalk between neighboring electrodes, giving low contrast stimulation patterns. We study approaches to shaping the electric field in the retina for prosthetic vision with higher resolution and improved contrast. ApproachWe present a new computational framework, RPSim, that efficiently computes the electric field in the retina generated by a photovoltaic implant with thousands of electrodes. Leveraging the PRIMA clinical results as a benchmark, we use RPSim to predict the stimulus strength and contrast of the electric field in the retina with various pixel designs and stimulation patterns. Main resultsWe demonstrate that by utilizing monopolar pixels as both, anodes and cathodes to suppress crosstalk, most patients may achieve resolution no worse than 48 {micro}m. Closer proximity between the electrodes and the INL, achieved with pillar electrodes, enhances the stimulus strength and contrast and may enable 24 {micro}m resolution with 20 {micro}m pixels, at least in some patients. SignificanceA resolution of 24 {micro}m on the retina corresponds to a visual acuity of 20/100, which is over 4 times higher than the current best prosthetic acuity of 20/438, promising a significant improvement of central vision for many AMD patients.

bioengineering↗