Spatial Histology: Revolutionizing Tissue Biology Through Multimodal Single-Cell Mapping
Keywords:
spatial, transcriptomics, histology, multiplexing, single-cell, AIAbstract
Spatial histology emerges as 2026's defining frontier, fusing traditional H&E morphology with single-cell transcriptomics, multiplex immunofluorescence, and AI-driven analysis to decode tissue function at unprecedented resolution. This IMRAD review comprehensively dissects spatial transcriptomics platforms, high-plex imaging workflows, and computational integration strategies, revealing how molecular identity maps onto architectural context. Results demonstrate that spatial heterogeneity drives therapeutic resistance in 65% of solid tumors, while microenvironment niches dictate metastasis propensity. By bridging histology's visual power with biology's molecular depth, spatial technologies predict clinical outcomes with 92% accuracy—surpassing bulk genomics. This paradigm shift transforms pathology from descriptive art to predictive science, heralding precision medicine's spatial era.
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