Blood quality and safety management is a critical issue for cold chain transportation of blood or blood-based biological reagent. The conventional methods of blood alteration severity assessment mainly rely on kit test or blood-gas analysis required opening the blood package to get samples, which cause possible blood pollution and are complicate, timeconsuming, and expensive. Here we proposed to develop a portable, real-time, safety, easy-operated and low cost method aimed at assessing blood alteration severity. Color images of the blood in transparent blood bags were collected with a smartphone and the alteration severity of the blood was assessed by the smartphone app offered analysis of RGB color values of the blood. The algorithm is based on a large number sample of RGB values of blood at different alteration degree. The blood quality results evaluated by the smartphone are in accordance with the actual data. This study indicates the potential of smart phone in real time, convenient, and reliable blood quality assessment.
Apple quality grading is a critical issue in apple industry which is one economical pillar of many countries. Artificial grading is inefficient and of poor accuracy. Here we proposed to develop a portable, convenient, real-time, and low cost method aimed at grading apple. Color images of the apples were collected with a smartphone and the grade of sampled apple was assessed by a customized smartphone app, which offered the functions translating RGB color values of the apple to color grade and translating the edge of apple image to weight grade. The algorithms are based on modeling with a large number of apple image at different grades. The apple grade data evaluated by the smartphone are in accordance with the actual data. This study demonstrated the potential of smart phone in apple quality grading/online monitoring at gathering and transportation stage for apple industry.
Tissue inflammation is often accompanied by fever and edema, which are common and troublesome problems that probably trigger disability, lymphangitis, cosmetic deformity and cellulitis. Here we developed a device, which can measure concentration and temperature variations of water in local human body by extended near infrared spectroscopy in 900~1000 nm wavelength range. An experiment of four steps incremental cycling exercise was designed to change tissue water concentration and temperature of subjects. Body temperature was also estimated by tympanic thermometer and surface thermometer as comparisons during the experiment. In the stage of recovery after exercise, the signal detected by custom device is similar to tympanic thermometer at the beginning, but it is closer to the temperature of surface later. In particular, this signal shows a better linearity, and a significant change when the exercise was suspended. This study demonstrated the potential of optical touch-sensing for inflammation severity monitoring by measuring water concentration and temperature variations in local lesions.
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