Spatial probabilistic mapping of metabolite ensembles in mass spectrometry imaging

Spatial probabilistic mapping of metabolite ensembles in mass spectrometry imaging

Spatial visualization of metabolites in tissues via mass spectrometry imaging can be prone to user perception bias. Here, the authors report the computational framework moleculaR that introduces probabilistic data-dependent molecular mapping of nonrandom spatial patterns of metabolite signals.

Bibliographic Details
Main Authors: Denis Abu Sammour, James L. Cairns, Tobias Boskamp, Christian Marsching, Tobias Kessler, Carina Ramallo Guevara, Verena Panitz, Ahmed Sadik, Jonas Cordes, Stefan Schmidt, Shad A. Mohammed, Miriam F. Rittel, Mirco Friedrich, Michael Platten, Ivo Wolf, Andreas von Deimling, Christiane A. Opitz, Wolfgang Wick, Carsten Hopf
Format: Article
Language:English
Published: Nature Portfolio 2023-04-01
Series:Nature Communications
Online Access:https://doi.org/10.1038/s41467-023-37394-z

Internet

https://doi.org/10.1038/s41467-023-37394-z

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