High-confidence discrimination of explosive materials on surfaces using a non-spectroscopic optical biomimetic sensing method

Major, Kevin J.; Ewing, Kenneth J.; Sanghera, Jasbinder S.; Hutchens, Thomas C.; Poutous, Menelaos K.; Potter, Matthew G.; Wilson, Christopher R.; Aggarwal, Ishwar D.; Farrell, Mikella E.; Holthoff, Ellen L.; Pellegrino, Paul M.

doi:10.1117/12.2304349

Cited by 3 publications

(3 citation statements)

References 8 publications

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“…They reported the results as “Experimental researches in detection of traces of various types of explosives on different substrates were carried out. On average, the probability of detection was 89% and the probability of identification was 91%” [ 852 ].…”

Section: General Detectionmentioning

confidence: 99%

Interpol review of detection and characterization of explosives and explosives residues 2016-2019

Klapec

Czarnopys

Pannuto

2020

Forensic Science International: Synergy

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Section: General Detectionmentioning

confidence: 99%

Interpol review of detection and characterization of explosives and explosives residues 2016-2019

Klapec

Czarnopys

Pannuto

2020

Forensic Science International: Synergy

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“…With this analogue in mind and on the basis of the high level of selectivity demonstrated by the human eye, it is reasonable to evaluate the selectivity of a nonspectroscopic mimic of human color vision based on the interaction between broadband, overlapping infrared (IR) bandpass filters and IR absorption bands of different chemicals. Using a vector-based methodology, we demonstrated that this IR-based mimic of human color vision is capable of discriminating between various chemical vapors, , as well as different explosives on surfaces. , Though we have demonstrated discrimination of different chemicals using a biomimetic sensor composed of “hardware” that models the photopigments used for human color vision using the vector-based analysis technique approach, this does not clearly represent a direct analogue to human color vision. Therefore, the question remained as to how well this straightforward biomimetic sensing method really does mimic human color vision.…”

mentioning

confidence: 91%

“…Using a vector-based methodology, 8 we demonstrated that this IR-based mimic of human color vision is capable of discriminating between various chemical vapors, 9,10 as well as different explosives on surfaces. 11,12 Though we have demonstrated discrimination of different chemicals using a biomimetic sensor composed of "hardware" that models the photopigments used for human color vision using the vector-based analysis technique approach, this does not clearly represent a direct analogue to human color vision. Therefore, the question remained as to how well this straightforward biomimetic sensing method really does mimic human color vision.…”

mentioning

confidence: 99%

Demonstration of a Human Color Vision Mimic in the Infrared

et al. 2019

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Color vision results from the interaction of retinal photopigments with reflected or transmitted visible light. The International Commission on Illumination (CIE) developed the CIE color-matching chart, which separates colors on the basis of the interaction of their spectral profiles with three retinal photopigments in the human eye. We report the development of an infrared chromaticity (CIE-IR) chart, which mimics the CIE chart, in order to discriminate between different chemicals on the basis of the interactions of their IR signatures with three different IR optical filters, instead of the retinal photopigments in the human eye. Our results demonstrate that the CIE-IR chart enables separation of different classes of chemicals, as the visible CIE chart does with color, except for those in the IR spectral region. Such results clearly show that the biomimetic sensing method based on human color vision is in fact a true analogue to color vision and that the proposed CIE-IR chart can be used as a classification method unique to this biomimetic sensing modality.

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