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

Satoka AoyagiKazuhiro Matsuda
Published 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.
Keyphrases
  • neural network
  • mass spectrometry
  • machine learning
  • ms ms
  • electronic health record
  • big data
  • water soluble
  • systematic review
  • high resolution
  • quantum dots