Bio-inspired visual sensing enhances imaging techniques using integrated electro-optical switchable filters

Marquise N. Pullen; Adam K. Fontecchio

doi:10.1117/12.2521682

7 March 2019 Bio-inspired visual sensing enhances imaging techniques using integrated electro-optical switchable filters

Marquise N. Pullen, Adam K. Fontecchio

Author Affiliations +

Proceedings Volume 10895, Frontiers in Biological Detection: From Nanosensors to Systems XI; 1089512 (2019) https://doi.org/10.1117/12.2521682
Event: SPIE BiOS, 2019, San Francisco, California, United States

Abstract

Traditional imaging systems are modeled after human vision, a static trichromatic vision, sensitive to visible light alone. However, in nature not all biological agents have the same visual/spectral constraints as humans; some can see ultraviolet, others visible, others infrared, and some a mixture. The design of the traditional imaging system only accounts for a small subset of the vision systems found in nature. Such limitations imposed by an imaging system limits the research of biological agents that see differently than humans. Different biological visual data is critical for having a complete understanding of the world, under ever-changing environmental conditions. To address the limitations of traditional imaging systems, a conceptualized design using electrooptical switchable filters to mimic the vision of biological agents, scalable to the varying number of color vision systems (e.g. dichromatic, trichromatic, etc.) found in nature and capable of demonstrating the physiological changes a biological vision system can experience has been developed. Electro-optical switchable filters have two optical modes, one for spectral transmission and another for spectral reflections; these two modes are used to model a biological agents color recognition or blindness abilities.

Citation Download Citation

Marquise N. Pullen and Adam K. Fontecchio "Bio-inspired visual sensing enhances imaging techniques using integrated electro-optical switchable filters", Proc. SPIE 10895, Frontiers in Biological Detection: From Nanosensors to Systems XI, 1089512 (7 March 2019); https://doi.org/10.1117/12.2521682

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