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An Automated Algorithm for the Quantification of hCG Level in Novel Fabric-based Home Pregnancy Test Kits

机译:一种自动化算法的新型基于织物的家庭怀孕试剂盒中的HCG水平

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We report a new image processing algorithm that extracts quantitative information about the concentration of human chorionic gonadotropin (hCG), an important early pregnancy marker, from commercially available qualitative home pregnancy kits. The algorithm could potentially be ported onto a simple camera based cell phone making it a low-cost, portable point-of-care device as opposed to costly and time consuming clinical labs for accurate quantitative determination of hCG. The algorithm takes the image of the test result as input, classifies and determines the hCG concentration based on the RGB intensities of the test line. The efficacy of the algorithm is demonstrated using control samples on commercially available strips as well as novel fabric based strips designed for this application.
机译:我们报告了一种新的图像处理算法,从市售的定性家庭怀孕试剂盒提取有关人绒毛膜促性腺激素(HCG)浓度的定量信息。 该算法可能潜在地移植到基于简单的相机的手机上,使其成为低成本,便携式护理设备,而不是昂贵且耗时的临床实验室,以准确定量测定HCG。 该算法将测试结果的图像作为输入,基于测试线的RGB强度进行分类和确定HCG浓度。 使用在市售条带上的对照样品以及为该应用设计的新型织物的基条,证明了算法的功效。

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