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Electronic photoreceptors enable prosthetic visual acuity matching the natural resolution in rats

Author

Listed:
  • Bing-Yi Wang

    (Stanford University)

  • Zhijie Charles Chen

    (Stanford University)

  • Mohajeet Bhuckory

    (Stanford University
    Stanford University)

  • Tiffany Huang

    (Stanford University)

  • Andrew Shin

    (Stanford University)

  • Valentina Zuckerman

    (Stanford University)

  • Elton Ho

    (Stanford University
    Stanford University)

  • Ethan Rosenfeld

    (Stanford University)

  • Ludwig Galambos

    (Stanford University)

  • Theodore Kamins

    (Stanford University
    Stanford University)

  • Keith Mathieson

    (University of Strathclyde)

  • Daniel Palanker

    (Stanford University
    Stanford University)

Abstract

Localized stimulation of the inner retinal neurons for high-acuity prosthetic vision requires small pixels and minimal crosstalk from the neighboring electrodes. Local return electrodes within each pixel limit the crosstalk, but they over-constrain the electric field, thus precluding the efficient stimulation with subretinal pixels smaller than 55 μm. Here we demonstrate a high-resolution prosthetic vision based on a novel design of a photovoltaic array, where field confinement is achieved dynamically, leveraging the adjustable conductivity of the diodes under forward bias to turn the designated pixels into transient returns. We validated the computational modeling of the field confinement in such an optically-controlled circuit by in-vitro and in-vivo measurements. Most importantly, using this strategy, we demonstrated that the grating acuity with 40 μm pixels matches the pixel pitch, while with 20 μm pixels, it reaches the 28 μm limit of the natural visual resolution in rats. This method enables customized field shaping based on individual retinal thickness and distance from the implant, paving the way to higher acuity of prosthetic vision in atrophic macular degeneration.

Suggested Citation

  • Bing-Yi Wang & Zhijie Charles Chen & Mohajeet Bhuckory & Tiffany Huang & Andrew Shin & Valentina Zuckerman & Elton Ho & Ethan Rosenfeld & Ludwig Galambos & Theodore Kamins & Keith Mathieson & Daniel P, 2022. "Electronic photoreceptors enable prosthetic visual acuity matching the natural resolution in rats," Nature Communications, Nature, vol. 13(1), pages 1-11, December.
  • Handle: RePEc:nat:natcom:v:13:y:2022:i:1:d:10.1038_s41467-022-34353-y
    DOI: 10.1038/s41467-022-34353-y
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    References listed on IDEAS

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    1. D. Palanker & Y. Mer & S. Mohand-Said & J. A. Sahel, 2022. "Simultaneous perception of prosthetic and natural vision in AMD patients," Nature Communications, Nature, vol. 13(1), pages 1-6, December.
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    Cited by:

    1. Gengxi Lu & Chen Gong & Yizhe Sun & Xuejun Qian & Deepthi S. Rajendran Nair & Runze Li & Yushun Zeng & Jie Ji & Junhang Zhang & Haochen Kang & Laiming Jiang & Jiawen Chen & Chi-Feng Chang & Biju B. Th, 2024. "Noninvasive imaging-guided ultrasonic neurostimulation with arbitrary 2D patterns and its application for high-quality vision restoration," Nature Communications, Nature, vol. 15(1), pages 1-15, December.
    2. Franklin Leong & Babak Rahmani & Demetri Psaltis & Christophe Moser & Diego Ghezzi, 2024. "An actor-model framework for visual sensory encoding," Nature Communications, Nature, vol. 15(1), pages 1-13, December.
    3. Bingyao Tan & Huakun Li & Yueming Zhuo & Le Han & Rajeshkumar Mupparapu & Davide Nanni & Veluchamy Amutha Barathi & Daniel Palanker & Leopold Schmetterer & Tong Ling, 2024. "Light-evoked deformations in rod photoreceptors, pigment epithelium and subretinal space revealed by prolonged and multilayered optoretinography," Nature Communications, Nature, vol. 15(1), pages 1-10, December.

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    1. Franklin Leong & Babak Rahmani & Demetri Psaltis & Christophe Moser & Diego Ghezzi, 2024. "An actor-model framework for visual sensory encoding," Nature Communications, Nature, vol. 15(1), pages 1-13, December.

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