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About

Cameron Wright is a researcher whose work spans two compelling and interconnected domains: bio-inspired machine vision and robotic-assisted retinal surgery. Based at the University of Wyoming's Wyoming Information, Signal Processing, and Robotics (WISPR) Laboratory, Wright has made significant contributions to the development of artificial compound eye sensors modeled after insect vision systems, particularly those of the housefly (*Musca domestica*). His bio-inspired apposition compound eye sensor system, his most-cited work with 29 citations, explores how insect visual architectures — characterized by fast, analog, and parallel processing — can be adapted into specialized machine vision technologies capable of hyperacuity. Earlier in his career, Wright pioneered hybrid digital-analog systems for computer-assisted retinal laser photocoagulation, developing technology capable of tracking retinal motion at speeds exceeding 60 degrees per second and enabling precise, motion-stabilized lesion placement during surgery. This body of work, spanning publications from 1995 through 2002 and accumulating dozens of citations, represents a meaningful advance in robotic surgical instrumentation. Across both research threads, Wright demonstrates a consistent drive to translate biological principles — whether from the insect eye or the human retina — into practical engineering solutions with real-world medical and sensing applications.