Super-resolved spatial transcriptomics by deep data fusion.
IF: 68.164
Cited by: 38


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.


Spatial Transcriptomics

MeSH terms



Bergenstråhle, Ludvig
He, Bryan
Bergenstråhle, Joseph
Abalo, Xesús
Mirzazadeh, Reza
Thrane, Kim
Ji, Andrew L
Andersson, Alma
Larsson, Ludvig
Stakenborg, Nathalie
Boeckxstaens, Guy
Khavari, Paul
Zou, James
Lundeberg, Joakim
Maaskola, Jonas

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