Emerging spatial omics technologies continue to advance the molecular mapping of tissue
architecture and the investigation of gene regulation and cellular crosstalk, which in turn …

Recent advances in high-parameter spatial biology have yielded a rapidly growing new
class of biological data, allowing researchers to more comprehensively characterize cellular …

Spatial omics data allow in-depth analysis of tissue architectures, opening new opportunities
for biological discovery. In particular, imaging techniques offer single-cell resolutions …

Spatially resolved omics technologies are transforming our understanding of biological
tissues. However, the handling of uni-and multimodal spatial omics datasets remains a …

The growing number of spatial omic technologies have created a demand for computational
tools capable of managing, storing, and analyzing spatial datasets with multiple modalities …

Spatial omics technologies enable a deeper understanding of cellular organizations and
interactions within a tissue of interest. These assays can identify specific compartments or …

Overlaying omics data onto spatial biological dimensions has been a promising technology
to provide high-resolution insights into the interactome and cellular heterogeneity relative to …

Spatial omics technologies generate wealthy but highly complex datasets. Here we present
Spatial Omics DataBase (SODB), a web-based platform providing both rich data resources …

16 Abstract 17 Spatial omics data are advancing the study of tissue organization and cellular
18 communication at an unprecedented scale. Here, we present Squidpy, a Python …

Spatial omics has emerged as a rapidly growing and fruitful field with hundreds of
publications presenting novel methods for obtaining spatially resolved information for any …