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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Hlavní autoři:	Ziwen Zhao, Arunava Naha, Sagar Ganguli, Alina Sekretareva
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	Wiley 2024-01-01
Edice:	Advanced Intelligent Systems
Témata:	nano-impact electrochemistry single-entity electrochemistry template matching unsupervised machine learning
On-line přístup:	https://doi.org/10.1002/aisy.202300424
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