By leveraging cell annotation and spatial transcriptomics data, SpatialX can identify and quantify cell-cell interactions, proximity relationships, and niche-specific cellular compositions, providing insights into tissue architecture and intercellular communication.

SpatialX integrates spatial data with cell annotations to uncover how gene expression and cell type distributions vary across healthy versus diseased tissues, enabling the identification of spatially localized disease mechanisms, biomarkers, or therapeutic targets.