Automated Analysis of Nano‐Impact Single‐Entity Electrochemistry Signals Using Unsupervised Machine Learning and Template Matching

Automated Analysis of Nano‐Impact Single‐Entity Electrochemistry Signals Using Unsupervised Machine Learning and Template Matching

Nano‐impact (NIE) (also referred to as collision) single‐entity electrochemistry is an emerging technique that enables electrochemical investigation of individual entities, ranging from metal nanoparticles to single cells and biomolecules. To obtain meaningful information from NIE experiments, analy...

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Bibliographic Details
Main Authors: Ziwen Zhao, Arunava Naha, Sagar Ganguli, Alina Sekretareva
Format: Article
Language:English
Published: Wiley 2024-01-01
Series:Advanced Intelligent Systems
Subjects:
nano-impact electrochemistry
single-entity electrochemistry
template matching
unsupervised machine learning
Online Access:https://doi.org/10.1002/aisy.202300424

Internet

https://doi.org/10.1002/aisy.202300424

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