• KSBB Journal
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• v.31 no.1
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• pp.46-51
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• 2016

Recently paper based diagnostic kits have drawn great interest in the point-of-care testing market (POCT). The paper based detection systems provide inexpensive, rapid and safe analyses for disease markers and/or pathogens. Vitamin C (i.e., ascorbic acid) regulates body's immune system as an antioxidant agent. Humans, however, do not have enough amounts of enzymes involved in the synthesis of vitamin C that it is required to be obtained from their diets (e.g., beverages and/or supplements). Here, we have prepared a paper based kit to detect the concentration of Vitamin C presented in commercially available beverages. The evaluation provides the fast, simple and accurate results for detecting Vitamin C in the prepared paper based kit.

• Journal of Biomedical Engineering Research
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• v.40 no.3
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• pp.97-104
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• 2019

To examine different types of influenza diagnostic test kits automatically, automated rapid influenza diagnostic test method based on image recognition is proposed in this paper. First, the proposed methods classify a variety of the rapid influenza diagnostic test kit based on support vector machine that analyzes the kits' feature point. Then, to improve the accuracy of test, the proposed methods match the histogram of both the target image of influenza kit and the input image of influenza kit for minimizing the effect of environment factors, such as lighting and exposure variations. And, to minimize the effect from composition of the hand-helds devices, the proposed methods extract the feature point and match point-by-point between target image of influenza kit and input image of influenza kit. Experimental results of 124 experimental group show that the proposed methods significantly have effectiveness, which shows 90% accuracy in moderate antigen, for the preliminary examination of influenza, and provides the opportunity for taking action against influenza.