From Event: SPIE Commercial + Scientific Sensing and Imaging, 2018
We present a multimode hyperspectral imaging (HIS) system operating in fluorescence and reflectance modes for food quality and safety applications. The system uses spectral band sequential imaging on the detection side. To ensure constant, high S/N levels, the image acquisition time is optimized for each spectral band. The illumination module uses two independent light sources for fluorescence and reflectance measurements, based on three computer-controlled LED illumination rings. UVA (371 nm, FWHM 16nm, power = 91.7mW/cm²) and blue/violet (418 nm, FWHM = 21nm, power = 38.9mW/cm²) LEDs provide fluorescence excitation. White LEDs (power = 35.8mW/cm²) are used for reflectance. The spectral imaging system incorporated within the detection pathway is able to transition between wavelengths within microseconds over the full bandwidth of the device (450 nm - 800 nm). The system is configured as a tabletop platform with both the illumination and detection located above the food sample. Illumination uniformity is ~90%, spatial resolution is 89μm, and spectral resolution is 8nm.
The system was tested for food safety applications by imaging of pet food spiked with Salmonella enterica, where the ability to identify the bacteria in these samples was compared to existing detection methodologies. As an example of food authentication applications, images captured at 75 wavelengths over the range 450 nm to 810 nm with a 5 nm interval were collected from wild salmon and farmed salmon purchased locally. Wild salmon and farmed salmon were found to have distinctly different reflectance features from 515 nm to 650 nm.
Fartash Vasefi, Danielle Rosen, Nicholas Booth, Hesam Hafizi, Li Kang, Rosalee Hellberg, and Daniel L. Farkas, "Multimode optical imaging for food quality and safety applications (Conference Presentation)," Proc. SPIE 10665, Sensing for Agriculture and Food Quality and Safety X, 1066507 (Presented at SPIE Commercial + Scientific Sensing and Imaging: April 18, 2018; Published: 15 May 2018); https://doi.org/10.1117/12.2317850.5783314308001.
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