Large histology archives capture morphological correlates of molecular tissue states but lack direct spatial protein measurements. In this study, we show that routine hematoxylin and eosin (H&E) histology can provide a queryable, morphology-based representation of spatial protein expression that remains informative fro...
Imaging-based spatial transcriptomics enables molecule-resolved profiling of gene expression and tissue organization in situ. However, segmentation errors, transcript spillover and three-dimensional cell overlap can introduce misassigned transcripts into cell-level expression profiles, compromising biological interpret...
This study introduces CellART, a unified framework designed to extract single-cell information across diverse high-resolution spatial transcriptomics platforms, including VisiumHD, Xenium, MERFISH, and Stereo-seq, and highlights its ability to fully leverage high-resolution ST data.
Yu-Heng Chen, Yu-Yao Liu, Zhi-Wei Wang et al.· bioRxiv· 1 citation
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