Paper
18 May 2017 Progress in standoff surface contaminant detector platform
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Abstract
Progress towards the development of a longwave infrared quantum cascade laser (QLC) based standoff surface contaminant detection platform is presented. The detection platform utilizes reflectance spectroscopy with application to optically thick and thin materials including solid and liquid phase chemical warfare agents, toxic industrial chemicals and materials, and explosives. The platform employs an ensemble of broadband QCLs with a spectrally selective detector to interrogate target surfaces at 10s of m standoff. A version of the Adaptive Cosine Estimator (ACE) featuring class based screening is used for detection and discrimination in high clutter environments. Detection limits approaching 0.1 μg/cm2 are projected through speckle reduction methods enabling detector noise limited performance.

The design, build, and validation of a breadboard version of the QCL-based surface contaminant detector are discussed. Functional test results specific to the QCL illuminator are presented with specific emphasis on speckle reduction.
© (2017) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Julia R. Dupuis, Jay Giblin, John Dixon, Joel Hensley, David Mansur, and William J. Marinelli "Progress in standoff surface contaminant detector platform", Proc. SPIE 10194, Micro- and Nanotechnology Sensors, Systems, and Applications IX, 101942Q (18 May 2017); https://doi.org/10.1117/12.2262185
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CITATIONS
Cited by 2 scholarly publications.
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KEYWORDS
Sensors

Standoff detection

Quantum cascade lasers

Speckle

Infrared detectors

Infrared lasers

Infrared radiation

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