Machine learning and chemometrics for electrochemical sensors: moving forward to the future of analytical chemistry
P Puthongkham, S Wirojsaengthong, A Suea-Ngam - Analyst, 2021 - pubs.rsc.org
Electrochemical sensors and biosensors have been successfully used in a wide range of
applications, but systematic optimization and nonlinear relationships have been …
applications, but systematic optimization and nonlinear relationships have been …
[HTML][HTML] Chemometrics meets electrochemical sensors for intelligent in vivo bioanalysis
D Desagani, H Ben-Yoav - TrAC Trends in Analytical Chemistry, 2023 - Elsevier
The field of in-vivo electrochemical sensors is envisioned to greatly transform point-of-care
diagnostic devices and bio-chip sensing technology. However, these sensors' sensitivity and …
diagnostic devices and bio-chip sensing technology. However, these sensors' sensitivity and …
Deep learning for voltammetric sensing in a living animal brain
Y Xue, W Ji, Y Jiang, P Yu, L Mao - … Chemie International Edition, 2021 - Wiley Online Library
Numerous neurochemicals have been implicated in the modulation of brain function, making
them appealing analytes for sensors and diagnostics. However, it is a grand challenge to …
them appealing analytes for sensors and diagnostics. However, it is a grand challenge to …
[HTML][HTML] Simultaneous serotonin and dopamine monitoring across timescales by rapid pulse voltammetry with partial least squares regression
CS Movassaghi, KA Perrotta, H Yang, R Iyer… - Analytical and …, 2021 - Springer
Many voltammetry methods have been developed to monitor brain extracellular dopamine
levels. Fewer approaches have been successful in detecting serotonin in vivo. No …
levels. Fewer approaches have been successful in detecting serotonin in vivo. No …
Identifying phasic dopamine releases using darknet-19 convolutional neural network
QA Al-Haija, M Smadi… - 2021 IEEE International …, 2021 - ieeexplore.ieee.org
Understanding the role of neurotransmitter dopamine in brain function under normal or
pathological states is one of the most active areas of research in neurosciences. Failures in …
pathological states is one of the most active areas of research in neurosciences. Failures in …
[HTML][HTML] Resolution of tonic concentrations of highly similar neurotransmitters using voltammetry and deep learning
With advances in our understanding regarding the neurochemical underpinnings of
neurological and psychiatric diseases, there is an increased demand for advanced …
neurological and psychiatric diseases, there is an increased demand for advanced …
Novel, user-friendly experimental and analysis strategies for fast voltammetry: next generation FSCAV with artificial neural networks
Fast-scan adsorption-controlled voltammetry (FSCAV) was recently derived from fast-scan
cyclic voltammetry to estimate the absolute concentrations of neurotransmitters by using the …
cyclic voltammetry to estimate the absolute concentrations of neurotransmitters by using the …
A Machine Learning Approach for Simultaneous Electrochemical Detection of Dopamine and Serotonin in an Optimized Carbon Thread-based Miniaturized Device
To further optimize output from electrochemical sensing technology and minimize human
intervention, machine learning (ML) models are capable of imparting data-driven …
intervention, machine learning (ML) models are capable of imparting data-driven …
An FSCV deep neural network: development, pruning, and acceleration on an FPGA
Fast-scan cyclic voltammetry (FSCV) is an electrochemical technique for measuring rapid
changes in the extracellular concentration of neurotransmitters within the brain. Due to its …
changes in the extracellular concentration of neurotransmitters within the brain. Due to its …
[HTML][HTML] Automatic chronic degenerative diseases identification using enteric nervous system images
Studies recently accomplished on the Enteric Nervous System have shown that chronic
degenerative diseases affect the Enteric Glial Cells (EGC) and, thus, the development of …
degenerative diseases affect the Enteric Glial Cells (EGC) and, thus, the development of …