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Spatial transcriptomics has evolved from a technology-selection problem into a study-design problem. After choosing a spatial modality—sequencing- or imaging-based—a second, equally important question remains: How broadly should you measure the transcriptome? Should you profile every detectable transcript for unbiased discovery, or focus on a carefully selected panel for greater Read More

Understanding where genes are expressed within tissues can be just as important as knowing which genes are expressed. Tissue development, immune responses, and disease progression all depend on the spatial organization of cells. Traditional single-cell RNA sequencing captures gene expression but requires tissue dissociation, losing that spatial context. Spatial transcriptomics addresses Read More