Improvements in Smartphone and Night Vision Imaging Technologies Enable Low Cost, On-Site Assays of Bioluminescent Cells.
Improvements in Smartphone and Night Vision Imaging Technologies Enable Low Cost, On-Site Assays of Bioluminescent Cells.
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DOI：
10.3389/fbioe.2021.767313
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发表时间：
2021
影响因子：
5.7
通讯作者：
Close D
中科院分区：
文献类型：
--
作者：
Wienhold M;Kirkpatrick A;Xu T;Ripp S;Sayler G;Close D
与目前的分析方法相比，在资源有限的环境中进行现场环境检测或医疗诊断的技术具有很强的破坏性潜力，因为目前的分析方法需要训练有素的人员在实验室使用固定的、资源密集型的仪器。手持设备，如智能手机，现在通常生产的CPU，RAM，无线数据传输能力，和高分辨率的互补金属氧化物半导体（CMOS）相机能够支持生物发光信号的捕获和处理。从理论上讲，将这些设备的功能与基于人类细胞的连续生物发光生物报告分子相结合，将使它们能够复制更昂贵，更复杂，更不灵活的平台的功能，同时支持与人类相关的结论。在这项工作中，我们比较了智能手机（CMOS）和夜视（图像增强器）设备与体内（CCD摄像机）和体外（光电倍增管）实验室仪器的性能，用于监测有毒，稳定和诱导表达情况下连续生物发光的人类细胞模型的信号动态。所有系统均在常见平板接种密度下检测到来自细胞的生物发光。虽然体内和体外系统更敏感，并且更早地检测到代表细胞健康变化的信号动态，但夜视和智能手机系统也检测到这些变化，具有相对相似的变异系数和线性检测能力。智能手机系统没有检测到转录诱导。夜视系统确实检测到转录激活，但不如体内或体外系统敏感，需要更强的诱导才能解决变化。
Technologies enabling on-site environmental detection or medical diagnostics in resource-limited settings have a strong disruptive potential compared to current analytical approaches that require trained personnel in laboratories with immobile, resource intensive instrumentation. Handheld devices, such as smartphones, are now routinely produced with CPUs, RAM, wireless data transfer capabilities, and high-resolution complementary metal oxide semiconductor (CMOS) cameras capable of supporting the capture and processing of bioluminescent signals. In theory, combining the capabilities of these devices with continuously bioluminescent human cell-based bioreporters would allow them to replicate the functionality of more expensive, more complex, and less flexible platforms while supporting human-relevant conclusions. In this work, we compare the performance of smartphone (CMOS) and night vision (image intensifier) devices with in vivo (CCD camera), and in vitro (photomultiplier tube) laboratory instrumentation for monitoring signal dynamics from continuously bioluminescent human cellular models under toxic, stable, and induced expression scenarios. All systems detected bioluminescence from cells at common plating densities. While the in vivo and in vitro systems were more sensitive and detected signal dynamics representing cellular health changes earlier, the night vision and smartphone systems also detected these changes with relatively similar coefficients of variation and linear detection capabilities. The smartphone system did not detect transcriptional induction. The night vision system did detect transcriptional activation, but was less sensitive than the in vivo or in vitro systems and required a stronger induction before the change could be resolved.
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影响因子：
--
作者：
Class, Bradley;Thorne, Natasha;Zheng, Wei
通讯作者：
Zheng, Wei
影响因子：
4.6
作者：
Kim H;Jung Y;Doh IJ;Lozano-Mahecha RA;Applegate B;Bae E
通讯作者：
Bae E
影响因子：
2.9
作者：
EHRENFELD, GM;SHIPLEY, JB;HECHT, SM
通讯作者：
HECHT, SM
DOI：
10.3390/s91109147
发表时间：
2009
期刊：
Sensors (Basel, Switzerland)
影响因子：
--
作者：
Close DM;Ripp S;Sayler GS
通讯作者：
Sayler GS
影响因子：
12.6
作者：
Zangheri, Martina;Cevenini, Luca;Roda, Aldo
通讯作者：
Roda, Aldo