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An optical and potential dual-image CMOS sensor for bioscientific applications
We have fabricated a CMOS image sensor which can simultaneously capture optical and on-chip potential images. The target applications of the sensor are; 1) on-chip DNA (and other biomolecular) sensing...
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Noise analysis of fault tolerant active pixel sensors with and without defects
As the sizes of imaging arrays become larger both in pixel count and area, the possibility of pixel defects increases during manufacturing and packaging, and over the lifetime of the sensor. To correc...

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A CMOS active pixel sensor for retinal stimulation

Proc. SPIE, Vol. 6068, 606803 (2006); doi:10.1117/12.641165

Online Publication Date: 6 February 2006

Conference Date: Wednesday 18 January 2006
Conference Location: San Jose, CA, USA
Conference Title: Sensors, Cameras, and Systems for Scientific/Industrial Applications VII
Conference Chairs: Morley M. Blouke
Mark L. Prydderch and Marcus J. French
Rutherford Appleton Lab. (United Kingdom)

Keith Mathieson, Christopher Adams, Deborah Gunning, Jonathan Laudanski, James D. Morrison, Alan R. Moodie, and James Sinclair
Univ. of Glasgow (United Kingdom)
Degenerative photoreceptor diseases, such as age-related macular degeneration and retinitis pigmentosa, are the most common causes of blindness in the western world. A potential cure is to use a microelectronic retinal prosthesis to provide electrical stimulation to the remaining healthy retinal cells. We describe a prototype CMOS Active Pixel Sensor capable of detecting a visual scene and translating it into a train of electrical pulses for stimulation of the retina. The sensor consists of a 10 x 10 array of 100 micron square pixels fabricated on a 0.35 micron CMOS process. Light incident upon each pixel is converted into output current pulse trains with a frequency related to the light intensity. These outputs are connected to a biocompatible microelectrode array for contact to the retinal cells. The flexible design allows experimentation with signal amplitudes and frequencies in order to determine the most appropriate stimulus for the retina. Neural processing in the retina can be studied by using the sensor in conjunction with a Field Programmable Gate Array (FPGA) programmed to behave as a neural network. The sensor has been integrated into a test system designed for studying retinal response. We present the most recent results obtained from this sensor.

©2006 COPYRIGHT SPIE--The International Society for Optical Engineering. Downloading of the abstract is permitted for personal use only.
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