Computational sensing in plasmonics: Design of low-cost and mobile plasmonic readers using machine learning
2017
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.
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