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Smartphone supported backlight illumination and image acquisition for microfluidic-based point-of-care testing

机译:智能手机支持的背光照明和图像采集可用于基于微流体的即时检验

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摘要

A smartphone-based image analysis system is advantageous for point-of-care testing applications. However, the processes of observation and image recording rely heavily on an external attachment that includes additional light sources. Moreover, microfluidic point-of-care devices are highly miniaturized, and can be clearly observed only under magnification. To address these issues, the present work proposes a novel imaging box for converting the built-in light source of a smartphone into uniform backlight illumination to avoid interference arising from reflections. A multi-piece orthoscopic lens is embedded in the imaging box to enable the imaging of micro-sized samples. As such, the colorimetric signal of a microchannel with a width as small as 25 µm can be faithfully recorded. Protein concentration quantification based on the bicinchoninic acid assay method was demonstrated with the proposed smartphone/imaging box system from an analysis of colorimetric signals. In addition, a microfluidic chip for conducting ABO blood typing was fabricated, and the microscopic imaging of induced blood coagulation can be clearly observed in a 3 µL sample using the proposed system. These results highlight the potential for adopting smartphone-based analysis systems in point-of-care testing applications.
机译:基于智能手机的图像分析系统对于即时检验应用非常有利。然而,观察和图像记录的过程严重依赖于包括附加光源的外部附件。此外,微流控点设备高度小型化,只有在放大时才能清晰地观察到。为了解决这些问题,本工作提出了一种新颖的成像盒,用于将智能手机的内置光源转换为均匀的背光照明,以避免反射引起的干扰。在成像盒中嵌入了多片式正视镜,可以对微型样本进行成像。这样,可以如实地记录宽度为25μm的微通道的比色信号。拟议的智能手机/成像盒系统通过比色信号分析证明了基于双辛可宁酸测定方法的蛋白质浓度定量。此外,制造了用于进行ABO血液分型的微流控芯片,使用所提出的系统,可以在3 µL样品中清晰观察到诱导凝血的显微成像。这些结果凸显了在即时检验应用中采用基于智能手机的分析系统的潜力。

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