Computational sensing in plasmonics: Design of low-cost and mobile plasmonic readers using machine learning

摘要

We introduce a computational sensing framework to select the optimal set of illumination bands for a given plasmonic sensor design and fabrication method. This framework enables optimized designs for cost-effective, sensitive, and mobile plasmonic readers.