使用深度学习的基于荧光的多路护理点传感器

Biophotonics Congress: Optics in the Life Sciences 2023 (OMA, NTM, BODA, OMP, BRAIN) Pub Date : 1900-01-01 DOI:10.1364/boda.2023.dtu3a.7

Artem Goncharov, Hyou-Arm Joung, Rajesh Ghosh, Gyeo-Re Han, Zachary S. Ballard, Quinn Maloney, Alexandra Bell, Chew Tin Zar Aung, O. Garner, D. Di Carlo, Aydogan Ozcan

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引用次数: 0

摘要

我们提出了一种由手持式荧光读取器和神经网络处理的多路纸张护理点传感器，量化了来自人类血清样本的三种心血管疾病生物标志物，每种生物标志物的检测限≤0.52 ng/mL。

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Fluorescence-based multiplexed point-of-care sensor using deep learning

We present a multiplexed paper-based point-of-care sensor processed by a hand-held fluorescence reader and neural networks that quantify three cardiovascular disease biomarkers from human serum samples, achieving a limit-of-detection of ≤0.52 ng/mL for each biomarker.

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Biophotonics Congress: Optics in the Life Sciences 2023 (OMA, NTM, BODA, OMP, BRAIN)

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