Ut-Battelle, Inc.

The University of Tennessee Research Foundation

Steven T King

Olga S Ovchinnikova

Anton V Ievlev

Nikolay Borodinov

Matthias Lorenz

Machine learning approach can combine mass spectral imaging (MSI) techniques, one with low spatial resolution but intact molecular spectra and the other with nanometer spatial resolution but fragmented molecular signatures, to predict molecular MSI spectra with submicron spatial resolution. The machine learning approach can perform transformations on the spectral image data of the two MSI techniques to reduce dimensionality, and using a correlation technique, find relationships between the transformed spectral image data. The determined relationships can be used to generate MSI spectra of desired resolution.

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Hempstead, NY, United States of America

Steven T King