High-performance hyperspectral imaging using virtual slit optics

Bradford B. Behr; Yusuf Bismilla; Andrew T. Cenko; Brandon DesRoches; Jeffrey T. Meade; Elizabeth A. Munro; Jared Slaa; Arsen R. Hajian

doi:10.1117/12.2050571

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21 May 2014 High-performance hyperspectral imaging using virtual slit optics

Bradford B. Behr, Yusuf Bismilla, Andrew T. Cenko, Brandon DesRoches, Jeffrey T. Meade, Elizabeth A. Munro, Jared Slaa, Arsen R. Hajian

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Proceedings Volume 9101, Next-Generation Spectroscopic Technologies VII; 91010X (2014) https://doi.org/10.1117/12.2050571
Event: SPIE Sensing Technology + Applications, 2014, Baltimore, Maryland, United States

Abstract

Tornado Spectral Systems (TSS) has developed High Throughput Virtual Slit (HTVS) technology that improves the performance of spectrometers by factors of several while maintaining system size. In the simplest configuration, the HTVS allows optical designers to remove the lossy slit from a spectrometer, greatly increasing throughput without a loss of resolution. This is especially useful in many standoff applications, where every photon matters. TSS has tested multiple configurations of HTVS spectral sensing and spectral imaging technology, including standoff sensing, point scan imaging, long-slit pushbroom imaging and similar configurations. The HTVS throughput-resolution advantage allows us to increase scanning speed, decrease system size, decrease aperture, decrease source intensity requirements or some combination of all four. HTVS technology expands the realm of viable spectral imaging applications. We discuss the applicability of this technology to spectral imaging and standoff sensing and present experimental results from several prototype and production spectrometers.

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Bradford B. Behr, Yusuf Bismilla, Andrew T. Cenko, Brandon DesRoches, Jeffrey T. Meade, Elizabeth A. Munro, Jared Slaa, and Arsen R. Hajian "High-performance hyperspectral imaging using virtual slit optics", Proc. SPIE 9101, Next-Generation Spectroscopic Technologies VII, 91010X (21 May 2014); https://doi.org/10.1117/12.2050571

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