William A. Brookshire Department of Chemical and Biomolecular Engineering, University of Houston, Houston, TX 77204, USA.
Department of Biomedical Engineering, University of Houston, Houston, TX 77204, USA.
Biosensors (Basel). 2022 Nov 22;12(12):1060. doi: 10.3390/bios12121060.
Rapidly growing interest in smartphone cameras as the basis of point-of-need diagnostic and bioanalytical technologies increases the importance of quantitative characterization of phone optical performance under real-world operating conditions. In the context of our development of lateral-flow immunoassays based on phosphorescent nanoparticles, we have developed a suite of tools for characterizing the temporal and spectral profiles of smartphone torch and flash emissions, and their dependence on phone power state. In this work, these tools are described and documented to make them easily available to others, and demonstrated by application to characterization of Apple iPhone 5s, iPhone 6s, iPhone 8, iPhone XR, and Samsung Note8 flash performance as a function of time and wavelength, at a variety of power settings. Flash and torch intensity and duration vary with phone state and among phone models. Flash has high variability when the battery charge is below 10%, thus, smartphone-based Point-of-Care (POC) tests should only be performed at a battery level of at least 15%. Some output variations could substantially affect the results of assays that rely on the smartphone flash.
智能手机摄像头作为即时诊断和生物分析技术基础的应用兴趣迅速增长,这使得在实际操作条件下定量描述手机光学性能变得尤为重要。在我们开发基于磷光纳米粒子的侧向流动免疫分析的过程中,我们开发了一系列工具来描述智能手机闪光灯和手电筒辐射的时间和光谱特性,以及它们对手机电源状态的依赖关系。在这项工作中,我们对这些工具进行了描述和记录,以便于其他人使用,并通过应用于苹果 iPhone 5s、iPhone 6s、iPhone 8、iPhone XR 和三星 Note8 闪光灯性能随时间和波长的变化的特性来进行展示,这些变化是在各种功率设置下产生的。闪光灯和手电筒的强度和持续时间随手机状态和手机型号而变化。当电池电量低于 10%时,闪光灯的变化很大,因此,基于智能手机的即时检测(POC)测试应仅在电池电量至少为 15%时进行。一些输出变化可能会对依赖智能手机闪光灯的检测结果产生重大影响。