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Cellphone-Based Hand-Held Microplate Reader for Point-of-Care Testing of Enzyme-Linked Immunosorbent Assays

机译:基于手机的手持式酶标仪,用于酶联免疫吸附测定的即时检测

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Standard microplate based enzyme-linked immunosorbent assays (ELISA) are widely utilized for various nanomedicine, molecular sensing, and disease screening applications, and this multiwell plate batched analysis dramatically reduces diagnosis costs per patient compared to nonbatched or nonstandard tests. However, their use in resource-limited and field-settings is inhibited by the necessity for relatively large and expensive readout instruments. To mitigate this problem, we created a hand-held and cost-effective cellphone-based colorimetric microplate reader, which uses a 3D-printed opto-mechanical attachment to hold and illuminate a 96-well plate using a light-emitting-diode (LED) array. This LED light is transmitted through each well, and is then collected via 96 individual optical fibers. Captured images of this fiber-bundle are transmitted to our servers through a custom-designed app for processing using a machine learning algorithm, yielding diagnostic results, which are delivered to the user within similar to 1 min per 96-well plate, and are visualized using the same app. We successfully tested this mobile platform in a clinical microbiology laboratory using FDA-approved mumps IgG, measles IgG, and herpes simplex virus IgG (HSV-1 and,HSV-2) ELISA tests using a total of 567 and 571 patient samples for training and blind testing, respectively, and achieved an accuracy of 99.6%, 98.6%, 99.4%, and 99.4% for mumps, measles, HSV-1, and HSV-2 tests, respectively. This cost-effective and hand-held platform could assist health-care professionals to perform high-throughput disease screening or tracking of vaccination campaigns at the point-of-care, even in resource-poor and field-settings. Also, its intrinsic wireless connectivity can serve epidemiological studies, generating spatiotemporal maps of disease prevalence and immunity.
机译:基于标准微孔板的酶联免疫吸附测定(ELISA)已广泛用于各种纳米医学,分子传感和疾病筛查应用,与非批量或非标准测试相比,这种多孔板分批分析大大降低了每位患者的诊断成本。但是,由于需要相对较大和昂贵的读出仪器,因而限制了它们在资源有限和现场设置中的使用。为缓解此问题,我们创建了一种基于手持式且具有成本效益的基于手机的比色微孔板读取器,该读取器使用3D打印的光电机械附件通过发光二极管(LED)固定并照明96孔板。 )数组。该LED光穿过每个孔,然后通过96根单独的光纤收集。捕获的该纤维束图像通过定制设计的应用程序传输到我们的服务器,以使用机器学习算法进行处理,产生诊断结果,并在每96孔板约1分钟内将结果交付给用户,并可视化使用相同的应用程序。我们在临床微生物学实验室使用FDA批准的腮腺炎IgG,麻疹IgG和单纯疱疹病毒IgG(HSV-1和HSV-2)ELISA测试成功地测试了该移动平台,共使用了567和571个患者样本进行了培训和盲法测试,腮腺炎,麻疹,HSV-1和HSV-2测试的准确率分别为99.6%,98.6%,99.4%和99.4%。这个具有成本效益的手持式平台可以帮助医疗保健专业人员在医疗点进行高通量疾病筛查或跟踪疫苗接种活动,即使在资源匮乏和现场环境中也是如此。同样,其固有的无线连接性可以为流行病学研究提供服务,生成疾病流行和免疫力的时空图。

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