Hyperspectral imaging for detecting pathogens grown on agar plates

Seung Chul Yoon; Kurt C. Lawrence; Gregory R. Siragusa; John E. Line; Bosoon Park; William R. Windham

doi:10.1117/12.734819

12 October 2007 Hyperspectral imaging for detecting pathogens grown on agar plates

Seung Chul Yoon, Kurt C. Lawrence, Gregory R. Siragusa, John E. Line, Bosoon Park, William R. Windham

Proceedings Volume 6761, Optics for Natural Resources, Agriculture, and Foods II; 67610A (2007) https://doi.org/10.1117/12.734819
Event: Optics East, 2007, Boston, MA, United States

Abstract

This paper is concerned with the development of a hyperspectral imaging technique for detecting and identifying one of the most common foodborne pathogens, Campylobacter. Direct plating using agars is an effective tool for laboratory tests and analyses of microorganisms. The morphology (size, growth pattern, color, etc.) of colonies grown on agar plates has been widely used to tentatively differentiate organisms. However, it is sometimes difficult to differentiate target organisms like Campylobacters from other contaminants grown together on the same agar plates. A hyperspectral imaging system operating at the visible and near infrared (VNIR) spectral region from 400 nm to 900 nm was set up to measure spectral signatures of 17 different Campylobacter and non-Campylobacter subspecies. Protocols for culturing, imaging samples and for calibrating measured data were developed. The VNIR spectral library of all 17 organisms commonly encountered in poultry was established from calibrated hyperspectral images. A classification algorithm was developed to locate and identify Campylobacters, non-Campylobacter contaminants, and background agars with 99.29% accuracy. This research has a potential to be expanded to detect other pathogens grown on agar media.

Citation Download Citation

Seung Chul Yoon, Kurt C. Lawrence, Gregory R. Siragusa, John E. Line, Bosoon Park, and William R. Windham "Hyperspectral imaging for detecting pathogens grown on agar plates", Proc. SPIE 6761, Optics for Natural Resources, Agriculture, and Foods II, 67610A (12 October 2007); https://doi.org/10.1117/12.734819

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