Quantitative analysis of ToF‐SIMS data of a two organic compound mixture using an autoencoder and simple artificial neural networks

Rationale Matrix effects cause a nonlinear relationship between ion intensities and concentrations in mass spectrometry, including time‐of‐flight secondary ion mass spectrometry (ToF‐SIMS). Here, two artificial neural network (ANN)‐based methods, autoencoder‐based and simple ANN methods, were employ...

Full description

Saved in:

Bibliographic Details
Published in:	Rapid communications in mass spectrometry Vol. 37; no. 4; pp. e9445 - n/a
Main Authors:	Aoyagi, Satoka, Matsuda, Kazuhiro
Format:	Journal Article
Language:	English
Published:	England Wiley Subscription Services, Inc 28.02.2023
Subjects:	Artificial neural networks Butylated Hydroxytoluene Correlation coefficients Datasets Depth profiling Ions Linearity Mass spectrometry Mixtures Multilayers Negative ions Neural networks Neural Networks, Computer Organic Chemicals Organic compounds Phenylalanine Principal components analysis Qualitative analysis Quantitative analysis Scientific imaging Secondary ion mass spectrometry Spectrometry, Mass, Secondary Ion - methods Spectroscopy
ISSN:	0951-4198, 1097-0231, 1097-0231
Online Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!

Be the first to leave a comment!