Spatially resolved mass spectrometry at the single cell: recent innovations in proteomics and metabolomics

MJ Taylor, JK Lukowski… - Journal of the American …, 2021 - ACS Publications
Biological systems are composed of heterogeneous populations of cells that
intercommunicate to form a functional living tissue. Biological function varies greatly across …

Spatial metabolomics and imaging mass spectrometry in the age of artificial intelligence

T Alexandrov - Annual review of biomedical data science, 2020 - annualreviews.org
Spatial metabolomics is an emerging field of omics research that has enabled localizing
metabolites, lipids, and drugs in tissue sections, a feat considered impossible just two …

Unsupervised machine learning for exploratory data analysis in imaging mass spectrometry

N Verbeeck, RM Caprioli… - Mass spectrometry …, 2020 - Wiley Online Library
Imaging mass spectrometry (IMS) is a rapidly advancing molecular imaging modality that
can map the spatial distribution of molecules with high chemical specificity. IMS does not …

Fully automated unconstrained analysis of high-resolution mass spectrometry data with machine learning

DA Boiko, KS Kozlov, JV Burykina… - Journal of the …, 2022 - ACS Publications
Mass spectrometry (MS) is a convenient, highly sensitive, and reliable method for the
analysis of complex mixtures, which is vital for materials science, life sciences fields such as …

A versatile deep learning architecture for classification and label-free prediction of hyperspectral images

B Manifold, S Men, R Hu, D Fu - Nature machine intelligence, 2021 - nature.com
Hyperspectral imaging is a technique that provides rich chemical or compositional
information not regularly available to traditional imaging modalities such as intensity …

Mass spectrometry imaging for plant biology: a review

BA Boughton, D Thinagaran, D Sarabia, A Bacic… - Phytochemistry …, 2016 - Springer
Mass spectrometry imaging (MSI) is a develo** technique to measure the spatio-temporal
distribution of many biomolecules in tissues. Over the preceding decade, MSI has been …

MetGem software for the generation of molecular networks based on the t-SNE algorithm

F Olivon, N Elie, G Grelier, F Roussi… - Analytical …, 2018 - ACS Publications
Molecular networking (MN) is becoming a standard bioinformatics tool in the metabolomic
community. Its paradigm is based on the observation that compounds with a high degree of …

Mass spectrometry imaging and integration with other imaging modalities for greater molecular understanding of biological tissues

T Porta Siegel, G Hamm, J Bunch, J Cappell… - Molecular imaging and …, 2018 - Springer
Over the last two decades, mass spectrometry imaging (MSI) has been increasingly
employed to investigate the spatial distribution of a wide variety of molecules in complex …

Emerging computational methods in mass spectrometry imaging

H Hu, J Laskin - Advanced Science, 2022 - Wiley Online Library
Mass spectrometry imaging (MSI) is a powerful analytical technique that generates maps of
hundreds of molecules in biological samples with high sensitivity and molecular specificity …

Data-driven identification of prognostic tumor subpopulations using spatially mapped t-SNE of mass spectrometry imaging data

WM Abdelmoula, B Balluff, S Englert, J Dijkstra… - Proceedings of the …, 2016 - pnas.org
The identification of tumor subpopulations that adversely affect patient outcomes is essential
for a more targeted investigation into how tumors develop detrimental phenotypes, as well …