Abstract Imaging mass spectrometry is a powerful technology enabling spatial metabolomics. yet metabolites can be assigned only to a fraction of the data generated. METASPACE-ML is a machine learning-based approach addressing this challenge which incorporates new scores and computationally-efficient False Discovery Rate estimation. For training and evaluation. https://www.getpureroutine.com/