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Single-cell transcriptomics has advanced characterization of liver cellular composition, but dissociation of tissue to single-cells can introduce biases through the enrichment or depletion of cell types. Spatial transcriptomics is a complementary approach to avoid inherent bias for cell populations and to add important spatial context. The Visium HD spatial transcriptomics technology from 10X Genomics enables high-resolution spatial mapping of gene expression in tissue samples with a bin width of 2\u2009\u00b5m enabling quantification of transcripts at a sub-cellular resolution. We applied Visium HD to three healthy human liver donor samples, from two adult and one pediatric donor. We identified cell types by clustering 8\u2009\u00b5m bins and integration with single-cell reference maps. Differential expression analyses identified spatially distinct gene expression resulting in development of a high-resolution map of the liver. 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Global burden of liver disease: 2023 update. J. Hepatol. 79, 516\u2013537 (2023).","journal-title":"J. Hepatol."},{"key":"7597_CR2","doi-asserted-by":"publisher","first-page":"821","DOI":"10.1002\/hep4.1854","volume":"6","author":"TS Andrews","year":"2022","unstructured":"Andrews, T. S. et al. Single-Cell, Single-Nucleus, and Spatial RNA Sequencing of the Human Liver Identifies Cholangiocyte and Mesenchymal Heterogeneity. Hepatol. Commun. 6, 821\u2013840 (2022).","journal-title":"Hepatol. Commun."},{"key":"7597_CR3","doi-asserted-by":"publisher","first-page":"935","DOI":"10.1038\/nmeth.4437","volume":"14","author":"SC van den Brink","year":"2017","unstructured":"van den Brink, S. C. et al. Single-cell sequencing reveals dissociation-induced gene expression in tissue subpopulations. Nat. Methods 14, 935\u2013936 (2017).","journal-title":"Nat. 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