The Direct Route from
Spatial Data to Therapeutic Insight
SpatialX is the integrated platform designed for multi-image, multi-technology spatial data (CosMx, Xenium, Visium), offering a host of algorithms and tools for in-context analysis with optimized computation and an updated cell annotation database.
Data visualization
Cell type annotation
Differential expressed gene
Neighborhood analysis
TuringSegment
Region search
Region segmentation
Visualizing images, protein channels, cell segmentation, cell centers, and transcripts from tissue to single cell levels.
Annotating cell type composition of the sample using MetaReference (BioTuring database of 2000+ scRNA-seq studies).
Identifying differentially expressed genes from two cell populations using custom cell selection tools
Identifying cell types that spatially associated and neighborhood clustering showing the density of similar cell type clusters.
The optimized Cellpose model for faster and more memory-efficient cell segmentation
Identifying and labeling similar regions with the region of interest based on the similarity of cell and tissue morphology
Combining gene expression with spatial data for defining functional biological areas.
Xuhuai Ji, PhD & MD
Genomics Director
Human Immune Monitoring Center
Stanford Medicine
Di Zhao
Assistant Professor. UT MD Anderson Cancer Center
Daisuke Komura
Assistant Professor, The University of Tokyo
Jonathan Yap PhD.
Postdoctoral Fellow University of Hawaii, John A. Burns School of Medicine
