Image processing for the CCD based lateral flow strip detector

Xueqing Zhang, Hao Yang, Kan Wang

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Abstract

The key of disease diagnosis by lateral flow strip is the acquirer of color signal data. We stablished a CCD based lateral flow strip detector. The detector is designed for the low density detection, and it is suitable for point-of-care diagnostics. We established the matched software and achieve basic functions. Through the image processing, like image filtering to reduce the random noise, gray-scale transformation and binarization to get the threshold of the color signal , edge detection to identify effective information , quantitative reading to give the result of diagnosis and so on. The sensitivity of this detector is sufficient for many parameters of clinical relevance.

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Nano Biomedicine and Engineering.

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