SERS-active metal-dielectric nanostructures integrated in microfluidic devices for label-free quantitative detection of miRNA.
Sign Up to like & getrecommendations! Published in 2017 at "Faraday discussions"
DOI: 10.1039/c7fd00140a
Abstract: In this work, SERS-based microfluidic PDMS chips integrating silver-coated porous silicon membranes were used for the detection and quantitation of microRNAs (miRNAs), which consist of short regulatory non-coding RNA sequences typically over- or under-expressed in… read more here.
Keywords: detection; mirna; metal dielectric; label free ... See more keywords
Enhancement of Raman scattering in dielectric nanostructures with electric and magnetic Mie resonances
Sign Up to like & getrecommendations! Published in 2018 at "Physical Review B"
DOI: 10.1103/physrevb.97.085414
Abstract: Resonantly enhanced Raman scattering in dielectric nanostructures has been recently proven to be an effcient tool for developing nanothermometry and experimental determination of their mode- composition. In this paper, we develop a rigorous analytical theory… read more here.
Keywords: raman scattering; raman; scattering dielectric; enhancement raman ... See more keywords
Optimisation of colour generation from dielectric nanostructures using reinforcement learning.
Sign Up to like & getrecommendations! Published in 2019 at "Optics express"
DOI: 10.1364/oe.27.005874
Abstract: Recently, a novel machine learning model has emerged in the field of reinforcement learning known as deep Q-learning. This model is capable of finding the best possible solution in systems consisting of millions of choices,… read more here.
Keywords: colour generation; generation dielectric; dielectric nanostructures; reinforcement learning ... See more keywords
A nested U-shaped network for accurately predicting directional scattering of all-dielectric nanostructures.
Sign Up to like & getrecommendations! Published in 2022 at "Optics letters"
DOI: 10.1364/ol.472133
Abstract: Forward prediction of directional scattering from all-dielectric nanostructures by a two-level nested U-shaped convolutional neural network (U2-Net) is investigated. Compared with the traditional U-Net method, the U2-Net model with lower model height outperforms for the… read more here.
Keywords: network; shaped network; dielectric nanostructures; directional scattering ... See more keywords