Publications
CSI and Multispectral Fluorescence Imaging (MFI) Technology
CSI Foundational Work
Optimal fluorescence excitation and emission bands for detection of fecal contamination. J. Food Protect. 2003.
Microbial biofilm detection on food contact surfaces by macro-scale fluorescence imaging. J. Food Eng. 2010.
Detection of organic residues on poultry processing equipment surfaces by LED-induced fluorescence imaging. Applied Eng. Ag. 2011.
Red to far-red multispectral fluorescence image fusion for detection of fecal contamination on apples. Journal of Food Eng. 2012
Monitoring of biofilm formation on different material surfaces of medical devices using hyperspectral imaging method. Proc. SPIE 8215, Design and Quality for Biomedical Technologies V. 2012
Development of fluorescence based handheld imaging devices for food safety inspection. Proc. SPIE 8721, Sensing for Agriculture and Food Quality and Safety V. 2013.
Multispectral fluorescence imaging for detection of bovine faeces on Romaine lettuce and baby spinach leaves. Biosystems Eng. 2014.
Assessment of a handheld fluorescence imaging device as a visual-aid for detection of food residues on processing surfaces. Food Control. 2016.
Hyperspectral fluorescence imaging using violet LEDs as excitation sources for fecal matter contaminate identification on spinach leaves. Food Measure. 2016.
Hyperspectral determination of fluorescence wavebands for multispectral imaging detection of multiple animal fecal species contaminations on romaine lettuce. Food and Bioprocess Tech. 2018.
CSI in Food Service
Development of fluorescence imaging technique to detect fresh-cut food organic residue on processing equipment surface. Applied Sciences. 2021.
Deep learning and multiwavelength fluorescence imaging for cleanliness assessment and disinfection in food services. Frontiers in Remote Sensing. 2022.
Dual-excitation fluorescence imaging system for contamination detection in food facilities. Proc. SPIE 12545, Sensing for Agriculture and Food Quality and Safety XV. 2023.
Enhancing food safety in senior care facilities: real-time risk assessment with optical scanner-AI integration. Proc. SPIE PC13060, Sensing for Agriculture and Food Quality and Safety XVI. 2024.
CSI in the Meat Industry
Combining deep learning and fluorescence imaging to automatically identify fecal contamination on meat carcasses. Nature Scientific Reports. 2022.
Detection of Visible and Invisible Fecal Contamination on Chicken Carcasses Using Multispectral Fluorescence Imaging and Machine Learning to Mitigate Salmonella Risks. Journal of Food Production. 2025.
CSI Data Processing, Algorithm Development and Privacy
Federated learning for clients’ data privacy assurance in food service industry. Applied Sciences. 2023.
Combining deep learning and fluorescence imaging to automatically identify fecal contamination on meat carcasses. Nature Scientific Reports. 2022.
Classification of E. coli colony with generative adversarial networks, discrete wavelet transforms and VGG19. Journal of Radiology and Clinical Imaging. 2023.
Classifying E.coli concentration levels on multispectral fluorescence images with discrete wavelet transform, deep learning and support vector machine. Proc. SPIE 12545, Sensing for Agriculture and Food Quality and Safety XV. 2023.
CSI-D+ UVC Disinfection Efficiency
Handheld multispectral fluorescence imaging system to detect and disinfect surface contamination. Sensors. 2021.
Surface Environment and Energy Density Effects on the Detection and Disinfection of Microorganisms Using a Portable Instrument. Sensors. 2023.
Disinfection of foodborne bacteria using the Contamination Sanitization Inspection and Disinfection (CSI-D) device bg. Food Microbiology. 2024.
CSI-D+ in Agriculture
Detection of E. coli concentration levels using CSI-D+ handheld with UV-C fluorescence imaging and deep learning on leaf surfaces. Proc. SPIE 13060, Sensing for Agriculture and Food Quality and Safety XVI. 2024.
Detection of citrus black spot fungus using fluorescence imaging and deep learning on leaf surface. Proc. SPIE 13060, Sensing for Agriculture and Food Quality and Safety XVI. 2024.
Detection of citrus black spot fungi Phyllosticta citricarpa & Phyllosticta capitalensis on UV-C fluorescence images using YOLOv8. Smart Agricultural Technology. 2024
CSI-D+ in Healthcare
Efficacy of sanitization in healthcare using deep learning and multiwavelength fluorescence imaging. Proc. SPIE 12545, Sensing for Agriculture and Food Quality and Safety XV. 2023.
Enhancing food safety in senior care facilities: real-time risk assessment with optical scanner-AI integration. Proc. SPIE PC13060, Sensing for Agriculture and Food Quality and Safety XVI. 2024.
QAT and Multi-Modal Spectroscopy (MMS) Technology
QAT Foundational Work
Sensitivity and accuracy of high-throughput metabarcoding methods for early detection of invasive fish species. Scientific Reports. 2017.
QAT in the Seafood Industry
Detection of fish fillet substitution and mislabeling using multimode hyperspectral imaging techniques. Food Control. 2020.
Multimode hyperspectral data fusion for fish species identification using supervised and reinforcement learning. Proc. SPIE 11421 Sensing for Agriculture and Food Quality and Safety XII. 2020.
Hyperspectral band selection for food fraud application using self-organizing maps (SOM) Proc. SPIE 11525 Future Sensing Technologies. 2020.
Simulated Annealing-based hyperspectral data optimization for fish species classification: can the number of measured wavelengths be reduced? Appl. Sci. 2021.
Rapid assessment of fish freshness for multiple supply-chain nodes using multi-mode spectroscopy and fusion-based artificial intelligence. Sensors. 2023.
Novel Machine-Learning Framework Based on a Hierarchy of Dispute Models for the Identification of Fish Species Using Multi-Mode Spectroscopy. Sensors. 2023.
Freshness in salmon by hand-held devices: Methods in feature selection and data fusion for spectroscopy. ACS Food Sci. Technol. 2024.
QAT and Block Chain Integration
Novel Machine-Learning Framework Based on a Hierarchy of Dispute Models for the Identification of Fish Species Using Multi-Mode Spectroscopy. Sensors. 2023.
Toward an intelligent blockchain IoT-enabled fish supply chain: a review and conceptual framework. Sensors. 2023.
A Blockchain-Based Fish Supply Chain Framework for Maintaining Fish Quality and Authenticity. IEEE Transactions on Services Computing. 2024.
Seafood quality, adulteration, and traceability technology integrated with blockchain supply chain. Proc. SPIE 13060, Sensing for Agriculture and Food Quality and Safety XVI. 2024.
HyperView and Hyperspectral Imaging
Evaluation of Diabetic Ulcer Healing with Hyperspectral Imaging of Oxyhemoglobin and Deoxyhemoglobin. Biomed. 2020.
Evaluation of Hyperspectral Imaging Technology in Patients with Peripheral Vascular Disease. Journal of Vascular Surgery. 2017.
Hyperspectral Imaging in Diabetic Foot Wound Care. Journal of Diabetes, Science and Technology. 2010.
Hyperspectral Image Measurements of Skin Hemoglobin Compared with Transcutaneous PO2 measurements. Annals of Vascular Surgery. 2012.
Evaluation of Hyperspectral Technology for Assessing the Presence and Severity of Peripheral Artery Disease. Journal of Vascular Surgery. 2011.
Clinical Implications of the Angiosome Model in Peripheral Vascular Disease. Journal of Vascular Surgery. 2013.
Contemporary Assessment of Foot Perfusion in Patients with Critical Limb Ischemia. Seminars in Vascular Surgery. 2014.
Early Changes in the Skin Microcirculation and Muscle Metabolism of the Diabetic Foot. The Lancet. 2005.
Hyperspectral Imaging as an Early Biomarker for Radiation Exposure and Microcirculatory Damage. Frontiers in Oncology. 2015.
Hyperspectral Imaging for Burn Depth Assessment in an Animal Model. Plastic and Reconstructive Surgery Global Open. 2015.
Assessing Diabetic Foot Ulcer Development Risk with Hyperspectral Tissue Oximetry. Biomed. 2011.