Biologically Inspired Adaptive Address-Event Representation Imager for Particle Localization
نویسندگان
چکیده
This paper describes a biologically inspired imager designed for particle localization in a lab-on-chip system. Lab-on-chip systems demand efficient sensing and communication. The imager serves as the frontend of the system and collects optical information from particles nearby the imager surface without any intervening optics. The imager uses address-event representation (AER), inspired from the behavior of spiking neurons, to encode and transmit locations of the particles, which can then be used to control a micro-actuator to manipulate the particles. Particles appear darker than the surrounding areas; therefore the imager detects dark regions instead of bright regions, in contrast to conventional imagers. Adaptation is implemented to adjust the rate of event generation according to the activity level and available communication bandwidth. In addition, hot electron injection is used to store local nonvolatile memory that compensates pixel mismatch. The imager is composed of a 64×64 array of pixels of size 36×36μm and fill factor 20.1%. The chip is currently in fabrication.
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