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ARS Home » Northeast Area » Beltsville, Maryland (BARC) » Beltsville Agricultural Research Center » Environmental Microbial & Food Safety Laboratory » Research » Publications at this Location » Publication #328178
Title: MCT-based SWIR hyperspectral imaging system for evaluation of biological samples

Author
item HONG, SEOKMIN - Forest Service (FS)
item LEE, HOONSOO - Chungnam National University
item BAEK, INSUCK - University Of Maryland
item Kim, Moon

Submitted to: Proceedings of SPIE
Publication Type: Proceedings
Publication Acceptance Date: 4/13/2016
Publication Date: 5/17/2016
Citation: Hong, S., Lee, H., Baek, I., Kim, M.S. 2016. MCT-based SWIR hyperspectral imaging system for evaluation of biological samples. Proceedings of the SPIE, Sensing for Agriculture and Food Quality and Safety VIII, 986410.

Interpretive Summary: Hyperspectral imaging has shown to be a powerful tool for nondestructive evaluation of biological samples. A new line-scan based imaging system for hyperspectral shortwave infrared (SWIR) imaging was recently developed. The system can effectively acquire images in the range of 900 – 2500 nm for [add some descriptor for sample type size here, such as whole fruits, vegetables, chickens, etc]. In this paper, we present SWIR hyperspectral images of plant leaves and fruits. As illustrated by the preliminary image analysis results, hyperspectral SWIR imaging may provide an extremely useful tool for evaluating attributes not visible to human eye. This research will benefit scientists seeking to develop nondestructive sensing methods to evaluate safety and quality attributes of foods.

Technical Abstract: Hyperspectral imaging has been shown to be a powerful tool for nondestructive evaluation of biological samples. We recently developed a new line-scan-based shortwave infrared (SWIR) hyperspectral imaging system. Critical sensing components of the system include a SWIR spectrograph, an MCT (HgCdTe) array detector, and a custom-designed illumination source. The system has an effective imaging range from 900 nm to 2500 nm. In this paper, we present SWIR hyperspectral images of plant leaves and fruits, and preliminary SWIR image analysis results.