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Updated: Feb 1, 2026

Techniques for Processing Eyes Implanted with a Retinal Prosthesis for Localized Histopathological Analysis: Part 2 Epiretinal Implants with Retinal Tacks
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Epiretinal stimulation with local returns enhances selectivity at cellular resolution.

Victoria H Fan1, Lauren E Grosberg1, Sasidhar S Madugula1

  • 1Departments of Neurosurgery, Ophthalmology, and Hansen Experimental Physics Laboratory, Stanford University, Stanford, CA, United States of America.

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Local return stimulation improves the precision of epiretinal prostheses for restoring vision. This technique enhances the selective activation of retinal ganglion cells (RGCs), leading to better artificial vision quality.

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Area of Science:

  • Neuroscience
  • Biomedical Engineering
  • Ophthalmology

Background:

  • Photoreceptor degenerative diseases cause blindness by damaging light-sensing cells.
  • Epiretinal prostheses aim to restore vision by directly stimulating retinal ganglion cells (RGCs).
  • Current epiretinal devices often suffer from current spread, limiting visual acuity.

Purpose of the Study:

  • To evaluate the effectiveness of local return stimulation in improving RGC activation selectivity.
  • To determine if local returns can achieve cellular resolution in artificial vision.

Main Methods:

  • A custom 512-electrode array was used for simultaneous stimulation and recording in isolated primate retinas.
  • Compared stimulation with a distant return electrode versus a local return using neighboring electrodes.
  • Assessed RGC activation patterns at cellular resolution.

Main Results:

  • Local return stimulation significantly improved the selective activation of RGCs near the electrode (<30 μm).
  • This method reduced activation of more distant RGCs (>30 μm).
  • Achieved improved selective activation of ON and OFF RGCs, preserving spatial information.

Conclusions:

  • Restricting electric fields with local returns optimizes neuronal activation at cellular resolution.
  • This approach holds promise for enhancing the quality of artificial vision in patients.