Real-time validation of Surface-Enhanced Raman Scattering substrates via convolutional neural network algorithm

Real-time validation of Surface-Enhanced Raman Scattering substrates via convolutional neural network algorithm

Development of next-generation sensor technologies could be advanced by exploiting surface enhanced Raman spectroscopy (SERS) substrates capable of considerably enhancing signal detection of analytes of interest down to single molecule levels. The widespread implementation of SERS, however, requires...

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Bibliographic Details
Main Authors: Paulo de Carvalho Gomes, Alexander Crossman, Emily Massey, Jonathan James Stanley Rickard, Pola Goldberg Oppenheimer
Format: Article
Language:English
Published: Elsevier 2022-01-01
Series:Informatics in Medicine Unlocked
Subjects:
Surface-enhanced Raman scattering
SERS Substrates
Electrohydrodynamic patterning
Real-time convolutional neural network
Online Access:http://www.sciencedirect.com/science/article/pii/S235291482200212X

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http://www.sciencedirect.com/science/article/pii/S235291482200212X

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