By leveraging spatial coordinate information with expression levels of ligands and target receptors, computational methods developed for analysing spatial transcriptomics data can predict biologically relevant signalling activity. This activity is important for healthy tissue function and disease pathogenesis.This webinar will present an overview of published computational approaches and databases used to infer spatially confined secreted and/or cell-contact mediated signalling, with a particular focus on data generated from the 10X Genomics Visium assay. Furthermore, methods to link inferred cell signalling with specific cell types and downstream pathway activation will be briefly explored.