Recently emerged spatial omics technologies provide unprecedented insights into spatial aspects of gene expression, protein localisation, and metabolite concentrations in tissues. Now, the increasingly recognised challenge lies in integrating layers of individual spatial omics into a multi-omics molecular inventory describing cellular machinery and its spatial co-organisation across transcription, translation, and metabolism.This webinar will focus on spatial metabolomics and cover various computational approaches for analysing Spatial-multi-omics datasets, emphasising the integration of transcriptomics and metabolomics at both spatial and single-cell resolution. It will elucidate the core principles of each method and their application to key biological questions in the spatial omics domain. Additionally, a case study will be presented to demonstrate the effectiveness of these methods on a combined dataset of spatial metabolomics and highly-multiplex RNA FISH.