Integrated rapid-diagnostic-test reader platform on a cellphone
Integrated rapid-diagnostic-test reader platform on a cellphone
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DOI：
10.1039/c21c40235a
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发表时间：
2012-01-01
期刊：
影响因子：
6.1
通讯作者：
Ozcan, Aydogan
中科院分区：
文献类型：
--
作者：
Mudanyali, Onur;Dimitrov, Stoyan;Ozcan, Aydogan
我们展示了一种基于手机的快速诊断测试（RDT）阅读器平台，该平台可以与各种侧流免疫色谱分析和类似的测试一起工作，以检测样品中目标分析物的存在。这款紧凑且具有成本效益的数字RDT阅读器仅重约65 g，机械连接到手机的现有相机单元，其中可以插入各种类型的RDT，以便在基于发光二极管（LED）的照明下以反射或透射模式成像。然后通过手机上运行的智能应用程序对这些测试的捕获原始图像进行数字处理（每张图像不到0.2秒），以验证RDT，并自动阅读其诊断结果。然后，同一个智能应用程序将结果数据与RDT图像和其他相关信息（例如，例如，在一个实施例中，人口统计数据）发送到中央服务器，中央服务器通过地理标记在世界地图上呈现诊断结果。然后，可以使用互联网浏览器或通过相同的手机应用程序查看和共享各种RDT结果的动态时空图。我们使用疟疾，结核病（TB）和艾滋病毒RDT测试了这个平台，将其安装在基于Android的智能手机和iPhone上。通过提供各种传染病流行的实时时空统计数据，这种在手机上运行的智能RDT阅读器平台可以帮助医疗保健专业人员和政策制定者跟踪全球新兴流行病，并帮助做好流行病准备。
We demonstrate a cellphone-based rapid-diagnostic-test (RDT) reader platform that can work with various lateral flow immuno-chromatographic assays and similar tests to sense the presence of a target analyte in a sample. This compact and cost-effective digital RDT reader, weighing only similar to 65 g, mechanically attaches to the existing camera unit of a cellphone, where various types of RDTs can be inserted to be imaged in reflection or transmission modes under light-emitting diode (LED)-based illumination. Captured raw images of these tests are then digitally processed (within less than 0.2 s per image) through a smart application running on the cellphone for validation of the RDT, as well as for automated reading of its diagnostic result. The same smart application then transmits the resulting data, together with the RDT images and other related information (e. g., demographic data), to a central server, which presents the diagnostic results on a world map through geo-tagging. This dynamic spatio-temporal map of various RDT results can then be viewed and shared using internet browsers or through the same cellphone application. We tested this platform using malaria, tuberculosis (TB) and HIV RDTs by installing it on both Android-based smartphones and an iPhone. Providing real-time spatio-temporal statistics for the prevalence of various infectious diseases, this smart RDT reader platform running on cellphones might assist healthcare professionals and policymakers to track emerging epidemics worldwide and help epidemic preparedness.