Deep learning in mass spectrometry imaging

The project aims to develop new and innovative machine learning algorithms to analyse the data from the new 3D OrbiSIMS instrument (mass spectrometry) in a time and memory efficient manner.

Start date

July 2018

End date

June 2022

Team

Collaborators:

Spencer Thomas (NPL)