Daniel Palanker et al 2005 J. Neural Eng. 2 S105 doi:10.1088/1741-2560/2/1/012
Daniel Palanker1, Alexander Vankov1, Phil Huie1 and Stephen Baccus2
Show affiliationsIt has been demonstrated that electrical stimulation of the retina can produce visual percepts in blind patients suffering from macular degeneration and retinitis pigmentosa. However, current retinal implants provide very low resolution (just a few electrodes), whereas at least several thousand pixels would be required for functional restoration of sight. This paper presents the design of an optoelectronic retinal prosthetic system with a stimulating pixel density of up to 2500 pix mm−2 (corresponding geometrically to a maximum visual acuity of 20/80). Requirements on proximity of neural cells to the stimulation electrodes are described as a function of the desired resolution. Two basic geometries of sub-retinal implants providing required proximity are presented: perforated membranes and protruding electrode arrays. To provide for natural eye scanning of the scene, rather than scanning with a head-mounted camera, the system operates similar to 'virtual reality' devices. An image from a video camera is projected by a goggle-mounted collimated infrared LED-LCD display onto the retina, activating an array of powered photodiodes in the retinal implant. The goggles are transparent to visible light, thus allowing for the simultaneous use of remaining natural vision along with prosthetic stimulation. Optical delivery of visual information to the implant allows for real-time image processing adjustable to retinal architecture, as well as flexible control of image processing algorithms and stimulation parameters.
87.80.-y Biophysical techniques (research methods)
42.66.Ct Anatomy and optics of eye
85.60.Bt Optoelectronic device characterization, design, and modeling
87.19.R- Mechanical and electrical properties of tissues and organs
42.66.Si Psychophysics of vision, visual perception; binocular vision
Instrumentation and measurement
Issue 1 (March 2005)
Received 11 November 2004, accepted for publication 14 December 2004
Published 22 February 2005
Daniel Palanker et al 2005 J. Neural Eng. 2 S105
A J Skinner et al 1995 Modelling Simul. Mater. Sci. Eng. 3 359
Tim H Taminiau et al 2007 J. Opt. A: Pure Appl. Opt. 9 S315
S J Dyke et al 1996 Smart Mater. Struct. 5 565
Buyong Ma et al 2005 Phys. Biol. 2 S56
Nalini Joshi 2009 J. Phys. A: Math. Theor. 42 022001
BIPM 2001 Metrologia 38 95
Peter Seligman 2009 J. Neural Eng. 6 065006
R D Gould and C A Hogarth 1975 J. Phys. D: Appl. Phys. 8 L92
D Basu et al 2009 J. Phys. D: Appl. Phys. 42 092001