Image processing for the CCD based lateral flow strip detector

Xueqing Zhang, Hao Yang, Kan Wang


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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