Dr. Won Jun Profile

Dr. Won Jun

at USDA Agricultural Research Service

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Publications (4)

Proceedings Article | 27 April 2010 Paper

Classification of fecal contamination on leafy greens by hyperspectral imaging

Chun-Chieh Yang, Won Jun, Moon Kim, Kaunglin Chao, Sukwon Kang, Diane Chan, Alan Lefcourt

Proceedings Volume 7676, 76760F (2010) https://doi.org/10.1117/12.851069

KEYWORDS: Contamination, Luminescence, Hyperspectral imaging, Imaging systems, Line scan image sensors, Agriculture, Algorithm development, Safety, Binary data, Image filtering

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Proceedings Article | 20 April 2010 Paper

Detection of organic residues on food processing equipment surfaces by spectral imaging method

Jianwei Qin, Won Jun, Moon Kim, Kaunglin Chao

Proceedings Volume 7676, 767608 (2010) https://doi.org/10.1117/12.850102

KEYWORDS: Luminescence, Blood, Principal component analysis, Forward error correction, Data modeling, Inspection, Statistical modeling, Natural surfaces, Hyperspectral imaging, Light emitting diodes

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Proceedings Article | 28 April 2009 Paper

Detection of microbial biofilms on food processing surfaces: hyperspectral fluorescence imaging study

Won Jun, Moon Kim, Kaunglin Chao, Alan Lefcourt, Michael Roberts, James McNaughton

Proceedings Volume 7315, 73150S (2009) https://doi.org/10.1117/12.818837

KEYWORDS: Luminescence, Hyperspectral imaging, Imaging systems, Principal component analysis, Inspection, Electromagnetic coupling, Imaging devices, Safety, Contamination, Agriculture

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We used a portable hyperspectral fluorescence imaging system to evaluate biofilm formations on four types of food processing surface materials including stainless steel, polypropylene used for cutting boards, and household counter top materials such as formica and granite. The objective of this investigation was to determine a minimal number of spectral bands suitable to differentiate microbial biofilm formation from the four background materials typically used during food processing. Ultimately, the resultant spectral information will be used in development of handheld portable imaging devices that can be used as visual aid tools for sanitation and safety inspection (microbial contamination) of the food processing surfaces. Pathogenic E. coli O157:H7 and Salmonella cells were grown in low strength M9 minimal medium on various surfaces at 22 ± 2 °C for 2 days for biofilm formation. Biofilm autofluorescence under UV excitation (320 to 400 nm) obtained by hyperspectral fluorescence imaging system showed broad emissions in the blue-green regions of the spectrum with emission maxima at approximately 480 nm for both E. coli O157:H7 and Salmonella biofilms. Fluorescence images at 480 nm revealed that for background materials with near-uniform fluorescence responses such as stainless steel and formica cutting board, regardless of the background intensity, biofilm formation can be distinguished. This suggested that a broad spectral band in the blue-green regions can be used for handheld imaging devices for sanitation inspection of stainless, cutting board, and formica surfaces. The non-uniform fluorescence responses of granite make distinctions between biofilm and background difficult. To further investigate potential detection of the biofilm formations on granite surfaces with multispectral approaches, principal component analysis (PCA) was performed using the hyperspectral fluorescence image data. The resultant PCA score images revealed distinct contrast between biofilms and granite surfaces. This investigation demonstrated that biofilm formations on food processing surfaces, even for background materials with heterogeneous fluorescence responses, can be detected. Furthermore, a multispectral approach in developing handheld inspection devices may be needed to inspect surface materials that exhibit non-uniform fluorescence.

Proceedings Article | 18 April 2008 Paper

Portable hyperspectral fluorescence imaging system for detection of biofilms on stainless steel surfaces

Won Jun, Kangjin Lee, Patricia Millner, Manan Sharma, Kuanglin Chao, Moon Kim

Proceedings Volume 6983, 698306 (2008) https://doi.org/10.1117/12.786870

KEYWORDS: Luminescence, Hyperspectral imaging, Imaging systems, Electron multiplying charge coupled devices, Agriculture, Safety, Manufacturing, Visualization, Spectrographs, Inspection

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