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Proceedings Paper

Bio-inspired uncooled multi-spectral infrared imaging with mK range temperature resolution (Conference Presentation)
Author(s): Debashis Chanda

Paper Abstract

Present infrared (IR) detection techniques are limited due to the absence of spectroscopic or “color” detection/imaging abilities. At present all cooled and uncooled MWIR and LWIR detectors are being “bucket” detectors generate integrated spectral images in the binary color format (choices of any two pseudo colors). To date very little research work has been performed on frequency selective detection. On the other hand if we see natural world we find many animals that can see over multiple spectral bands in the visible as well as in the infrared domain. Mantis shrimp eye is an example of a complex eye which is comprised of an elegant 12 channel spectrum sampler that spans the range 300-750 nm, with spectral bandwidth of around 40 nm. These are among the sharpest spectral sensitivities in the animal kingdom. The key aspect of their eye is “biological light funnel” apparatus which collect light over a wide angle with near perfect efficiency. Another biological masterpiece is pit vipers that have heat-sensitive membranes that can detect the difference in temperature between a moving prey—such as a running mouse—and its surroundings on the scale of milli Kelvins. Their infrared eye (“the pit”) has unique abilities to scatter visible light away and transmit only a band of infrared light which reduces background noise substantially. The grand challenge: Can we create an artificial eye/imaging system which has spectral resolving power like Mantis shrimp but viper like detection ability in the infrared domain?

Paper Details

Date Published: 14 March 2018
Proc. SPIE 10540, Quantum Sensing and Nano Electronics and Photonics XV, 105400M (14 March 2018);
Show Author Affiliations
Debashis Chanda, Univ. of Central Florida (United States)

Published in SPIE Proceedings Vol. 10540:
Quantum Sensing and Nano Electronics and Photonics XV
Manijeh Razeghi; Gail J. Brown; Jay S. Lewis; Giuseppe Leo, Editor(s)

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