Smartphone-based low light detection for bioluminescence application.
Smartphone-based low light detection for bioluminescence application.
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DOI：
10.1038/srep40203
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发表时间：
2017-01-09
影响因子：
4.6
通讯作者：
Bae E
中科院分区：
文献类型：
--
作者：
Kim H;Jung Y;Doh IJ;Lozano-Mahecha RA;Applegate B;Bae E
我们报告了一种基于智能手机的设备和相关的图像处理算法，以最大限度地提高标准智能手机相机的灵敏度，可以检测到辐射通量强度的个位数pW的存在。提出的硬件和软件，称为智能手机（BAQS）的基于生物发光的分析物定量，提供了一个机会，现场分析和定量的发光信号从生物和非生物传感元件，发射光子响应于分析物。安装智能手机、样品管和收集透镜的简单支架支撑测量平台，而通过整体平均的降噪同时降低了背景并增强了发射光子的信号。测试了五种不同类型的智能手机，包括Android和iOS设备，并使用前两名候选人来评估生物发光报告基因荧光假单胞菌M3 A的发光。OnePlus One（android）实现了最佳结果，它能够检测到约106 CFU/mL生物报告分子的发光，相当于约107光子/s，积分时间为180秒。
We report a smartphone-based device and associated imaging-processing algorithm to maximize the sensitivity of standard smartphone cameras, that can detect the presence of single-digit pW of radiant flux intensity. The proposed hardware and software, called bioluminescent-based analyte quantitation by smartphone (BAQS), provides an opportunity for onsite analysis and quantitation of luminescent signals from biological and non-biological sensing elements which emit photons in response to an analyte. A simple cradle that houses the smartphone, sample tube, and collection lens supports the measuring platform, while noise reduction by ensemble averaging simultaneously lowers the background and enhances the signal from emitted photons. Five different types of smartphones, both Android and iOS devices, were tested, and the top two candidates were used to evaluate luminescence from the bioluminescent reporter Pseudomonas fluorescens M3A. The best results were achieved by OnePlus One (android), which was able to detect luminescence from ~106 CFU/mL of the bio-reporter, which corresponds to ~107 photons/s with 180 seconds of integration time.
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影响因子：
3.7
作者：
Switz NA;D'Ambrosio MV;Fletcher DA
通讯作者：
Fletcher DA
影响因子：
6.1
作者：
Zhu H;Sencan I;Wong J;Dimitrov S;Tseng D;Nagashima K;Ozcan A
通讯作者：
Ozcan A
影响因子：
3.7
作者：
Smith ZJ;Chu K;Espenson AR;Rahimzadeh M;Gryshuk A;Molinaro M;Dwyre DM;Lane S;Matthews D;Wachsmann-Hogiu S
通讯作者：
Wachsmann-Hogiu S
影响因子：
4.6
作者：
Agishev, R;Gross, B;Ahmed, S
通讯作者：
Ahmed, S
影响因子：
6.1
作者：
Gallegos, Dustin;Long, Kenneth D.;Cunningham, Brian T.
通讯作者：
Cunningham, Brian T.