Kontextual reframes analysis of spatial omics data and reveals consistent cell relationships across images.

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Title: Kontextual reframes analysis of spatial omics data and reveals consistent cell relationships across images.
Authors: Ameen F; The Westmead Institute for Medical Research, Sydney, NSW 2145, Australia; School of Mathematics and Statistics, The University of Sydney, Sydney, NSW 2006, Australia; Sydney Precision Data Science Centre, University of Sydney, Sydney, NSW 2006, Australia; Charles Perkins Centre, The University of Sydney, Sydney, NSW 2006, Australia., Robertson N; School of Mathematics and Statistics, The University of Sydney, Sydney, NSW 2006, Australia; Sydney Precision Data Science Centre, University of Sydney, Sydney, NSW 2006, Australia; Charles Perkins Centre, The University of Sydney, Sydney, NSW 2006, Australia., Lin DM; Department of Biomedical Sciences, Cornell University, Ithaca, NY 14850, USA., Ghazanfar S; School of Mathematics and Statistics, The University of Sydney, Sydney, NSW 2006, Australia; Sydney Precision Data Science Centre, University of Sydney, Sydney, NSW 2006, Australia; Charles Perkins Centre, The University of Sydney, Sydney, NSW 2006, Australia., Patrick E; The Westmead Institute for Medical Research, Sydney, NSW 2145, Australia; School of Mathematics and Statistics, The University of Sydney, Sydney, NSW 2006, Australia; Sydney Precision Data Science Centre, University of Sydney, Sydney, NSW 2006, Australia; Charles Perkins Centre, The University of Sydney, Sydney, NSW 2006, Australia. Electronic address: ellis.patrick@sydney.edu.au.
Source: Cell reports methods [Cell Rep Methods] 2025 Oct 20; Vol. 5 (10), pp. 101175. Date of Electronic Publication: 2025 Sep 15.
Publication Type: Journal Article
Journal Info: Publisher: Elsevier Inc Country of Publication: United States NLM ID: 9918227360606676 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 2667-2375 (Electronic) Linking ISSN: 26672375 NLM ISO Abbreviation: Cell Rep Methods Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:2667-2375
DOI:10.1016/j.crmeth.2025.101175