Quantitative analysis of ToF-SIMS data of a two organic compound mixture using an autoencoder and simple artificial neural networks.
Satoka AoyagiKazuhiro MatsudaPublished in: Rapid communications in mass spectrometry : RCM (2022)
Both the supervised and unsupervised methods based on ANN, which were employed in regulating nonlinear relationships, were effective in the quantitative and qualitative analyses of the ToF-SIMS data of the two organic compound mixture. Regarding qualitative analysis, both ANN-based methods indicated specific ions from the molecules in the sample.