Arunava Naha

2 months ago | pubs.rsc.org | ZIWEN ZHAO |Arunava Naha |Nikolaos Kostopoulos |Alina Sekretareva

Advanced algorithm for step detection in single-entity electrochemistry: a comparative study of wavelet transforms and convolutional neural networks† Single-entity electrochemistry (SEE) is an emerging field within electrochemistry focused on investigating individual entities such as nanoparticles, bacteria, cells, or single molecules.

Jul 4, 2024 | pubs.rsc.org | ZIWEN ZHAO |Arunava Naha |Nikolaos Kostopoulos |Alina Sekretareva

Advanced Algorithm for Step Detection in Single-Entity Electrochemistry: A Comparative Study of Wavelet Transforms and Convolutional Neural Networks Single-entity electrochemistry (SEE) is an emerging field within electrochemistry focused on investigating individual entities such as nanoparticles, bacteria, cells, or single molecules. Accurate identification and analysis of SEE signals require effective data processing methods for unbiased and automated feature extraction.