A liquid crystal tunable filter based shortwave infrared spectral imaging system: Calibration and characterization |
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| Affiliation: | 1. Biological and Agricultural Engineering, University of Georgia, 2360 Rainwater Road, Tifton, GA 31793, USA;2. Biological and Agricultural Engineering, Driftmier Engineering Center, University of Georgia, Athens, GA 30602, USA;3. Plant Pathology Department, University of Georgia, Plant Science Bldg., 115 Coastal Way, Tifton, GA 31793, USA;1. innoFSPEC-VKS, Leibniz-Institut für Astrophysik Potsdam (AIP), An der Sternwarte 16, D-14482 Potsdam, Germany;2. Laser Development Department, Fiber Optics Group, Laser Zentrum Hannover, Hollerithallee, 8D-30419 Hannover, Germany;1. Division of Dermatology, Washington University School of Medicine, St. Louis, Missouri;2. Department of Pathology and Immunology, Washington University School of Medicine, St. Louis, Missouri;3. Center for Dermatologic and Cosmetic Surgery, Washington University, St. Louis, Missouri;1. U.S. Army Research Laboratory, Adelphi, MD 20783, USA;2. University of Maryland, College Park, MD 20742, USA;1. Department of Nano Fusion Technology and BK21 Plus Nano Convergence Technology Division, Pusan National University, Busan 609-735, Republic of Korea;2. Department of Nanoenergy Engineering, Pusan National University, Busan 609-735, Republic of Korea;1. Department of Biomedical, Electronic and Mechatronic Engineering, Universidad Antonio Nariño, Bogotá, Colombia;2. Institute for the Study of Inborn Errors of Metabolism, Pontificia Universidad Javeriana, Bogotá, Colombia;3. Department of Electrical Engineering, Universidade Estadual de Campinas, Campinas, SP, Brazil |
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| Abstract: | Calibration is a critical step for developing spectral imaging systems. This paper presents a systematic calibration and characterization approach for a liquid crystal tunable filter (LCTF) based shortwave infrared (SWIR) spectral imaging system. A series of tests were conducted to validate the linearity of the system output, measure the field of view of the spectral imager, increase the system spectral sensitivity, test the spatial and spectral resolution of the system, evaluate the system stability and image distortion, and reduce the spectral noise of the system output. Results showed that the system had an angle of view of 6.98° and a spatial resolution of 158 μm. The spectral sensitivity of the system was corrected by controlling the camera exposure time and gain, which increased the signal to noise ratio of the system by 16.5%. Test results also verified the system spectral accuracy and linearity (r > 0.999). The system output was proven to be stable and image distortion was not perceivable. Results of calibration tests indicated that this system satisfied the design criteria in both spatial and spectral domains. The calibration methods presented here are applicable to the LCTF-based spectral imaging systems in other applications. |
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