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

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.