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Review Open access 2026

Predicting spatial transcriptomics from histology images: Progress, challenges, and directions

Spatial transcriptomics (ST) maps gene expression within intact tissues, but its cost and technical complexity limit broad adoption. A growing body of deep-learning methods now seeks to infer ST directly from routine histology images, especially hematoxylin and eosin (H&E)-stained slides, with the aim of turning archiv...

Ke-Xin Xu, H. Koohy, A. Antanaviciute · 0 citations

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