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Bergenstråhle L, He B, Bergenstråhle J, Abalo X, Mirzazadeh R, Thrane K, Ji AL, Andersson A, Larsson L, Stakenborg N, Boeckxstaens G, Khavari P, Zou J, Lundeberg J, Maaskola J
Nat. Biotechnol. 40 (4) 476-479 [2022-04-00; online 2021-11-29]
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.
PubMed 34845373
DOI 10.1038/s41587-021-01075-3
Crossref 10.1038/s41587-021-01075-3
pii: 10.1038/s41587-021-01075-3