The concentration of pepsinogen II in human serum is an important index for the detection of atrophic gastritis. In recent years, the serum pepsinogen tests are proved to be a screening way for gastric carcinoma. A portable microscope imaging system combined with lateral flow strips labeled by fluorescent microsphere for quantitative detection of pepsinogen II was developed, which use immunochromatographic assays. The imaging system used 365-nm ultraviolet LED as the excitation light source, and captured the test strip images through portable microscope. A modified two-dimensional maximum entropy segmentation algorithm is applied to analyze the result. Human serum of 8 different PGII concentrations is used as samples. 10 repeated experiments are carried out on each serum of PGII concentration, and the CV values for the data of each PGII concentration are less than 5%. The fitting curve is drawn according to the experimental data, and the fitting degree is 99.67%. Afforded high linearity within PGII levels of 5.62–240 ug/mL (R2= 0.9919),the limit of detection is 4.72ug/ml. It demonstrated that the device could realize rapid, stable detection for PGII concentration in human serum.
Effectively and accurately locating the positions of pedestrian candidates in image is a key task for the infrared pedestrian detection system. In this work, a novel similarity measuring metric is designed. Based on the selective search scheme, the developed similarity measuring metric is utilized to yield the possible locations for pedestrian candidate. Besides this, corresponding diversification strategies are also provided according to the characteristics of the infrared thermal imaging system. Experimental results indicate that the presented scheme can achieve more efficient outputs than the traditional selective search methodology for the infrared pedestrian detection task.
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