Title: Spotiphy enables single-cell spatial whole transcriptomics via generative modeling

Spatial transcriptomics (ST) has revolutionized the understanding of tissue regionalization by making it possible to visualize gene
expression across an intact tissue section, but the approach remains dogged by the challenge of achieving single-cell resolution without sacrificing whole genome coverage. Dr. Yu will present Spot imager with pseudo single-cell resolution histology (Spotiphy)—a novel computational toolkit that transforms sequencing-based ST data into single-cell-resolved whole-transcriptome images that delivers the most precise cell-type proportions and accurately depicts the distribution of rare cell populations such as immune cells. Spotiphy identifies multiple spatial domains as well as changes in the patterns of tumor-tumor microenvironment interaction across these domains, which will make in an important tool for gaining insight into the cellular organization, heterogeneity and functionof complex biological systems.