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Zitong Chao

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Open access Sep 2026

Accurate and scalable decontamination of imaging-based spatial transcriptomics via optimal transport

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...

Yu-Heng Chen, Yu-Yao Liu, Zi-Tong Chao et al. · 0 citations
Open access Sep 2026

CellART: a unified framework for extracting single-cell information from high-resolution spatial transcriptomics

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. · 1 citation

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