Abstract Advancements in technology have led to the use of smartphones as biosensor detectors. However, it is difficult to obtain stable color information of colorimetric sensors using multiple smartphones owing to different light conditions and image correction operations. In this study, we attempted color detection of the colorimetric paper chip using smartphone-embedded light-emitting diode (LED) and simple transformation calculation. This method enables the acquisition of stable color information using different smartphones by reducing the influence of external light sources. Moreover, we studied characteristics such as convergence and distinction of detection result details by the manufacturers and smartphones. These findings suggested the necessity of classification criteria for the use of smartphones to achieve optimal detection. In addition, white and black references were used to set the standard for color correction of various light sources. Based on our results, we conclude that this approach presents the possibility of smartphone-based colorimetric detection in practical applications.

中文翻译：

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基于智能手机的图像分析与基于纸张的比色设备相结合

摘要 技术的进步导致使用智能手机作为生物传感器检测器。然而，由于光照条件和图像校正操作的不同，使用多个智能手机的比色传感器很难获得稳定的颜色信息。在这项研究中，我们尝试使用智能手机嵌入式发光二极管 (LED) 和简单的转换计算对比色纸芯片进行颜色检测。这种方法可以通过减少外部光源的影响，使用不同的智能手机获取稳定的颜色信息。此外，我们研究了制造商和智能手机检测结果细节的收敛性和区分性等特征。这些发现表明使用智能手机的分类标准的必要性，以实现最佳检测。此外，白色和黑色参考被用来为各种光源的色彩校正设定标准。根据我们的结果，我们得出结论，这种方法在实际应用中提供了基于智能手机的比色检测的可能性。