Super-resolved spatial transcriptomics by deep data fusion.
Ludvig BergenstråhleBryan HeJoseph BergenstråhleXesús M AbaloReza MirzazadehKim ThraneAndrew L JiAlma AnderssonLudvig LarssonNathalie StakenborgGuy BoeckxstaensPaul A KhavariJames Y ZouJoakim LundebergJonas MaaskolaPublished in: Nature biotechnology (2021)
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.