High-speed mid-infrared hyperspectral imaging using quantum cascade lasers

David B. Kelley; Anish K. Goyal; Ninghui Zhu; Derek A. Wood; Travis R. Myers; Petros Kotidis; Cara Murphy; Chelsea Georgan; Gil Raz; Richard Maulini; Antoine Müller

doi:10.1117/12.2261851

3 May 2017 High-speed mid-infrared hyperspectral imaging using quantum cascade lasers

David B. Kelley, Anish K. Goyal, Ninghui Zhu, Derek A. Wood, Travis R. Myers, Petros Kotidis, Cara Murphy, Chelsea Georgan, Gil Raz, Richard Maulini, Antoine Müller

Author Affiliations +

Proceedings Volume 10183, Chemical, Biological, Radiological, Nuclear, and Explosives (CBRNE) Sensing XVIII; 1018304 (2017) https://doi.org/10.1117/12.2261851
Event: SPIE Defense + Security, 2017, Anaheim, CA, United States

Abstract

We report on a standoff chemical detection system using widely tunable external-cavity quantum cascade lasers (ECQCLs) to illuminate target surfaces in the mid infrared (λ = 7.4 – 10.5 μm). Hyperspectral images (hypercubes) are acquired by synchronously operating the EC-QCLs with a LN₂-cooled HgCdTe camera. The use of rapidly tunable lasers and a high-frame-rate camera enables the capture of hypercubes with 128 x 128 pixels and >100 wavelengths in <0.1 s. Furthermore, raster scanning of the laser illumination allowed imaging of a 100-cm² area at 5-m standoff. Raw hypercubes are post-processed to generate a hypercube that represents the surface reflectance relative to that of a diffuse reflectance standard. Results will be shown for liquids (e.g., silicone oil) and solid particles (e.g., caffeine, acetaminophen) on a variety of surfaces (e.g., aluminum, plastic, glass). Signature spectra are obtained for particulate loadings of RDX on glass of <1 μg/cm².

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Citation Download Citation

David B. Kelley, Anish K. Goyal, Ninghui Zhu, Derek A. Wood, Travis R. Myers, Petros Kotidis, Cara Murphy, Chelsea Georgan, Gil Raz, Richard Maulini, and Antoine Müller "High-speed mid-infrared hyperspectral imaging using quantum cascade lasers", Proc. SPIE 10183, Chemical, Biological, Radiological, Nuclear, and Explosives (CBRNE) Sensing XVIII, 1018304 (3 May 2017); https://doi.org/10.1117/12.2261851

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