Single-molecule spatial transcriptomics protocols based on in situ sequencing or
multiplexed RNA fluorescent hybridization can reveal detailed tissue organization. However …

Spatial transcriptomics promises to greatly improve our understanding of tissue organization
and cell–cell interactions. While most current platforms for spatial transcriptomics only offer …

RNA hybridization‐based spatial transcriptomics provides unparalleled detection sensitivity.
However, inaccuracies in segmentation of image volumes into cells cause misassignment of …

Multiplexed fluorescence in situ hybridization techniques have enabled cell-type
identification, linking transcriptional heterogeneity with spatial heterogeneity of cells …

As single-cell omics continue to advance, the field of spatially resolved transcriptomics has
emerged with a set of experimental and computational methods to map out the positions of …

Methods for profiling RNA and protein expression in a spatially resolved manner are rapidly
evolving, making it possible to comprehensively characterize cells and tissues in health and …

Human and animal tissues consist of heterogeneous cell types that organize and interact in
highly structured manners. Bulk and single-cell sequencing technologies remove cells from …

Single-cell RNA sequencing methods can profile the transcriptomes of single cells but
cannot preserve spatial information. Conversely, spatial transcriptomics assays can profile …

Spatial transcriptomics is a rapidly growing field that promises to comprehensively
characterize tissue organization and architecture at the single-cell or subcellular resolution …

Recent spatial gene expression technologies enable comprehensive measurement of
transcriptomic profiles while retaining spatial context. However, existing analysis methods …