Dr. Alan M. Lefcourt Profile

Dr. Alan M. Lefcourt

Biomedical Engineer at Agricultural Research Service

SPIE Involvement:

Author

Proceedings Article | 12 July 2016 Paper

Design of an automated cart and mount for a hyperspectral imaging system to be used in produce fields

Alan Lefcourt, Ross Kistler, S. Andrew Gadsden

Proceedings Volume 9864, 98640R (2016) https://doi.org/10.1117/12.2229493

KEYWORDS: Hyperspectral imaging, Imaging systems, Luminescence, Safety, Cameras, Line scan image sensors, Laser induced fluorescence, Laser optics, Pulsed laser operation, Image acquisition

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Proceedings Article | 17 May 2016 Paper

A survey of unmanned ground vehicles with applications to agricultural and environmental sensing

Stephanie Bonadies, Alan Lefcourt, S. Andrew Gadsden

Proceedings Volume 9866, 98660Q (2016) https://doi.org/10.1117/12.2224248

KEYWORDS: Agriculture, Unmanned ground vehicles, Robots, Control systems, Imaging spectroscopy, Unmanned aerial vehicles, Robotics, Global Positioning System, Cameras, Inspection

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Proceedings Article | 29 May 2013 Paper

Development of fluorescence based handheld imaging devices for food safety inspection

Hoyoung Lee, Moon Kim, Kuanglin Chao, Alan Lefcourt, Diane Chan

Proceedings Volume 8721, 872109 (2013) https://doi.org/10.1117/12.2018154

KEYWORDS: Inspection, Luminescence, Cameras, Light emitting diodes, Safety, Ultraviolet radiation, Imaging systems, Imaging devices, Optical inspection, Visualization

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Proceedings Article | 3 June 2011 Paper

Fast and accurate image recognition algorithms for fresh produce food safety sensing

Chun-Chieh Yang, Moon Kim, Kuanglin Chao, Sukwon Kang, Alan Lefcourt

Proceedings Volume 8027, 80270G (2011) https://doi.org/10.1117/12.884804

KEYWORDS: Detection and tracking algorithms, Forward error correction, Contamination, Image filtering, Algorithm development, Line scan image sensors, Imaging systems, Luminescence, Hyperspectral imaging, Light emitting diodes

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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 | 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 | 12 October 2007 Paper

Whole surface image reconstruction for machine vision inspection of fruit

D. Reese, A. Lefcourt, M. Kim, Y. Lo

Proceedings Volume 6761, 67610P (2007) https://doi.org/10.1117/12.738406

KEYWORDS: Mirrors, Cameras, Imaging systems, Inspection, Machine vision, Contamination, Image resolution, Safety, Image analysis, Agriculture

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Proceedings Article | 23 October 2006 Paper

Hyperspectral reflectance and fluorescence line-scan imaging system for online detection of fecal contamination on apples

Moon Kim, Byoung-Kwan Cho, Chun-Chieh Yang, Kaunglin Chao, Alan Lefcourt, Yud-Ren Chen

Proceedings Volume 6381, 63810P (2006) https://doi.org/10.1117/12.686674

KEYWORDS: Luminescence, Reflectivity, Hyperspectral imaging, Forward error correction, Imaging systems, Line scan image sensors, Contamination, Electron multiplying charge coupled devices, Safety, Inspection

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Proceedings Article | 23 October 2006 Paper

Development of video technology to analyze dynamics of inertia-based apple orientation

Alan Lefcourt, Priya Narayanan, Uri Tasch, Rouben Rostamian, Moon Kim, Yud-Ren Chen

Proceedings Volume 6381, 63810Q (2006) https://doi.org/10.1117/12.687039

KEYWORDS: Imaging systems, Video, Contamination, Software development, Agriculture, Machine vision, Data modeling, Image processing, Cameras, Image acquisition

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Proceedings Article | 19 November 2004 Paper

Ns-scale time-resolved laser induced fluorescence imaging for detection of fecal contamination on apples

Moon Kim, Alan Lefcourt, Yud-Ren Chen

Proceedings Volume 5587, (2004) https://doi.org/10.1117/12.582042

KEYWORDS: Forward error correction, Luminescence, Laser induced fluorescence, Imaging systems, Pulsed laser operation, Contamination, Multispectral imaging, Fluorescence spectroscopy, Safety, Visualization

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Proceedings Article | 30 March 2004 Paper

Multispectral fluorescence imaging techniques for nondestructive food safety inspection

Moon Kim, Alan Lefcourt, Yud-Ren Chen

Proceedings Volume 5271, (2004) https://doi.org/10.1117/12.516112

KEYWORDS: Luminescence, Imaging systems, Forward error correction, Multispectral imaging, Laser induced fluorescence, Hyperspectral imaging, Inspection, Safety, Optical filters, Food inspection

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Proceedings Article | 30 March 2004 Paper

Portable multispectral fluorescence imaging system for food safety applications

Alan Lefcourt, Moon Kim, Yud-Ren Chen

Proceedings Volume 5271, (2004) https://doi.org/10.1117/12.516103

KEYWORDS: Forward error correction, Cameras, Contamination, Optical filters, Imaging systems, Image filtering, Luminescence, Edge detection, Safety, Image acquisition

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Showing 5 of 12 publications

Conference Committee Involvement (11)

Sensing for Agriculture and Food Quality and Safety X

17 April 2018 | Orlando, FL, United States

Sensing for Agriculture and Food Quality and Safety IX

13 April 2017 | Anaheim, CA, United States

Sensing for Agriculture and Food Quality and Safety VIII

20 April 2016 | Baltimore, MD, United States

Sensing for Agriculture and Food Quality and Safety VII

21 April 2015 | Baltimore, MD, United States

Sensing for Agriculture and Food Quality and Safety VI

6 May 2014 | Baltimore, MD, United States

Showing 5 of 11 Conference Committees

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