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...

詳細記述

書誌詳細

出版年:	Advanced Intelligent Systems
主要な著者:	Ziwen Zhao, Arunava Naha, Sagar Ganguli, Alina Sekretareva
フォーマット:	論文
言語:	英語
出版事項:	Wiley 2024-01-01
主題:	nano-impact electrochemistry single-entity electrochemistry template matching unsupervised machine learning
オンライン･アクセス:	https://doi.org/10.1002/aisy.202300424