Utilizing Deep Learning Algorithms for Signal Processing in Electrochemical Biosensors: From Data Augmentation to Detection and Quantification of Chemicals of Interest

Nanomaterial-based aptasensors serve as useful instruments for detecting small biological entities. This work utilizes data gathered from three electrochemical aptamer-based sensors varying in receptors, analytes of interest, and lengths of signals. Our ultimate objective was the automatic detection...

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Bibliografiske detaljer

Principais autores:	Fatemeh Esmaeili, Erica Cassie, Hong Phan T. Nguyen, Natalie O. V. Plank, Charles P. Unsworth, Alan Wang
Format:	Artigo
Sprog:	Inglês
Udgivet:	MDPI AG 2023-11-01
Serier:	Bioengineering
Fag:	data augmentation conditional variational auto-encoder (CVAE) signal extrapolation convolutional neural network (CNN) convolutional long short-term memory (ConvLSTM) long short-term memory (LSTM)
Online adgang:	https://www.mdpi.com/2306-5354/10/12/1348
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