Fig. 2
From: Spatial multi-omics: novel tools to study the complexity of cardiovascular diseases
Overview of key areas of analysis enabled by spatial multi-omics and example software implementations. Gene expression in tissues is not random but forms characteristic spatial patterns. Preserving the spatial context allows for the analysis of cell-cell interaction at different length scales. Imaging-based technologies enable the extraction of further features like cell morphology or sub-cellular structures but require well-optimized cell segmentation. A key area of software development is spatial data integration