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README.md

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 # spateo-release
 Spatiotemporal modeling of spatial transcriptomics 
 
+Cells do not live in a vacuum, but in a milieu defined by cell–cell 
+communication that can be quantified via recent advances in spatial 
+transcriptomics. Here we present spateo, a open source framework that 
+welcomes community contributions for quantitative spatiotemporal 
+modeling of spatial transcriptomics. Leveraging the ultra-high 
+spatial-resolution, large field of view and high RNA capture sensitivity 
+of stereo-seq, spateo enables single cell resolution spatial 
+transcriptomics via nuclei-staining and RNA signal based cell 
+segmentation. Spateo also delivers novel methods for spatially 
+constrained clustering to identify continuous tissue domains, spatial 
+aware differential analyses to reveal spatial gene expression hotspots 
+and modules, as well as the intricate ligand-receptor interactions. 
+Importantly, spateo is equipped with sophisticated methods for building 
+whole-body 3D models of embryogenesis by leveraging serial profilings of 
+drosophila embryos across different stages. Spateo thus enables us to 
+evolve from the reductionism of single cells to the holisticism of 
+tissues and organs, heralding a paradigm shift in moving toward studying 
+the ecology of tissue and organ while still offering us the opportunity 
+to reveal associated molecular mechanisms.
 
 ## Spateo Development Process
 - Follow feature-staging-main review process