ABSTRACT:
In research at Lawrence Berkeley National Laboratory, Vitali Souchkov has invented an integrated-circuit system architecture for reading out multiparametric information from a matrix of pixels or other segmented detectors. The readout system offers functional improvement on conventional pixel systems and significantly outperforms current technology on the market.
Due to acquisition of space-time correlated data on the pixel matrix, very rapid adaptation of imaging data that targets certain object recognition is possible. Rare imaging events may also be selected and observed in the background of events outside the scope of interest.
Time-stamping with sub-nanosecond resolution and event-driven acquisition allows pixel data filtering and compression instantly upon the acquisition of the detector signal, thereby reducing the need to send out empty pixels or data that does not fit event selection criteria. The system can be used in a broad range of time-correlated imaging applications involving any kind of pixel matrices, including those that sense the output charge distribution from a Micro Channel Plate (MCP) and other photo or radiation detectors.
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