1. Super-resolved spatial transcriptomics by deep data fusion
- Author
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Ludvig, Bergenstråhle, Bryan, He, Joseph, Bergenstråhle, Xesús, Abalo, Reza, Mirzazadeh, Kim, Thrane, Andrew L, Ji, Alma, Andersson, Ludvig, Larsson, Nathalie, Stakenborg, Guy, Boeckxstaens, Paul, Khavari, James, Zou, Joakim, Lundeberg, and Jonas, Maaskola
- Subjects
Transcriptome - 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.
- Published
- 2020