 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 non-random spatial patterns of metabolite signals. This article was authored by Dennis Abu-Sama, James L. Kenz, Tobias Bosskamp, and others.