{"entity": "publication", "iuid": "5d33f9d184034a6fba14ac0d80c62812", "timestamp": "2026-08-20T21:09:02.948Z", "links": {"self": {"href": "https://publications-affiliated.scilifelab.se/publication/5d33f9d184034a6fba14ac0d80c62812.json"}, "display": {"href": "https://publications-affiliated.scilifelab.se/publication/5d33f9d184034a6fba14ac0d80c62812"}}, "title": "Super-resolved spatial transcriptomics by deep data fusion.", "authors": [{"family": "Bergenstr\u00e5hle", "given": "Ludvig", "initials": "L", "orcid": "0000-0002-5108-4481", "researcher": {"href": "https://publications-affiliated.scilifelab.se/researcher/60ea7a079ae04b8896196dafec84a6fc.json"}}, {"family": "He", "given": "Bryan", "initials": "B", "orcid": "0000-0002-6150-761X", "researcher": {"href": "https://publications-affiliated.scilifelab.se/researcher/939849332f874f1cb13709938bc10e17.json"}}, {"family": "Bergenstr\u00e5hle", "given": "Joseph", "initials": "J"}, {"family": "Abalo", "given": "Xes\u00fas", "initials": "X", "orcid": "0000-0002-1643-0705", "researcher": {"href": "https://publications-affiliated.scilifelab.se/researcher/ccb96c37f02b45d290b89f5b615052df.json"}}, {"family": "Mirzazadeh", "given": "Reza", "initials": "R"}, {"family": "Thrane", "given": "Kim", "initials": "K"}, {"family": "Ji", "given": "Andrew L", "initials": "AL", "orcid": "0000-0001-9688-5680", "researcher": {"href": "https://publications-affiliated.scilifelab.se/researcher/277ab9d989dc415b8b4a23f929bee180.json"}}, {"family": "Andersson", "given": "Alma", "initials": "A"}, {"family": "Larsson", "given": "Ludvig", "initials": "L", "orcid": "0000-0003-4209-2911", "researcher": {"href": "https://publications-affiliated.scilifelab.se/researcher/36ad34c94b64432ab74d61fbc6d16905.json"}}, {"family": "Stakenborg", "given": "Nathalie", "initials": "N", "orcid": "0000-0002-6229-0045", "researcher": {"href": "https://publications-affiliated.scilifelab.se/researcher/d107940932374682934e1ee3860c20f2.json"}}, {"family": "Boeckxstaens", "given": "Guy", "initials": "G"}, {"family": "Khavari", "given": "Paul", "initials": "P", "orcid": "0000-0003-0098-4989", "researcher": {"href": "https://publications-affiliated.scilifelab.se/researcher/94c287c0a13b42c6b2de95fc4138e821.json"}}, {"family": "Zou", "given": "James", "initials": "J", "orcid": "0000-0001-8880-4764", "researcher": {"href": "https://publications-affiliated.scilifelab.se/researcher/bee507e18338496f812ab20fd8e4c302.json"}}, {"family": "Lundeberg", "given": "Joakim", "initials": "J", "orcid": "0000-0003-4313-1601", "researcher": {"href": "https://publications-affiliated.scilifelab.se/researcher/d9fa47767cd14ef2b9528c8b998cf095.json"}}, {"family": "Maaskola", "given": "Jonas", "initials": "J"}], "type": "journal article", "published": "2022-04-00", "journal": {"title": "Nat. Biotechnol.", "issn": "1546-1696", "volume": "40", "issue": "4", "pages": "476-479", "issn-l": "1087-0156"}, "abstract": "Current methods for spatial transcriptomics are limited by low spatial resolution. Here we introduce a method that integrates spatial gene expression data with histological image data from the same tissue section to infer higher-resolution expression maps. Using a deep generative model, our method characterizes the transcriptome of micrometer-scale anatomical features and can predict spatial gene expression from histology images alone.", "doi": "10.1038/s41587-021-01075-3", "pmid": "34845373", "labels": [], "xrefs": [{"db": "pii", "key": "10.1038/s41587-021-01075-3"}], "notes": [], "created": "2026-08-20T08:59:26.295Z", "modified": "2026-08-20T08:59:26.538Z"}