DEEP LEARNING-ENABLED POINT-OF-CARE SENSING USING MULTIPLEXED PAPER-BASED SENSORS
Z. Ballard, H.-A. Joung, A. Goncharov, J. Liang, K. Nugroho, D. Di Carlo, O. B. Garner, A. Ozcan
This paper presents a deep learning framework for designing and quantifying point-of-care sensors, demonstrating a paper-based VFA for high-sensitivity hsCRP testing with competitive accuracy and hook-effect mitigation.
bioRxiv · Jun 11, 2019Bioengineering