SEraster: a rasterization preprocessing framework for scalable spatial omics data analysis

Motivation Spatial omics data demand computational analysis but many analysis tools have computational resource requirements that increase with the number of cells analyzed. This presents scalability challenges as researchers use spatial omics technologies to profile millions of cells.