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Conferences > BODA > 2023 > DTu3A > DTu3A.7

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

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

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Abstract

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.

© 2023 The Author(s)

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