Inferring super-resolution tissue architecture by integrating spatial transcriptomics with histology.
basic_science · Level V
Where this comes from
- Record sourced from PubMed, PMID 38168986.
- Also identified by DOI 10.1038/s41587-023-02019-9 and PMC identifier 11260191.
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Abstract
Spatial transcriptomics (ST) has demonstrated enormous potential for generating intricate molecular maps of cells within tissues. Here we present iStar, a method based on hierarchical image feature extraction that integrates ST data and high-resolution histology images to predict spatial gene expression with super-resolution. Our method enhances gene expression resolution to near-single-cell levels in ST and enables gene expression prediction in tissue sections where only histology images are available.
Medical subject headings
- Transcriptome
- Gene Expression Profiling