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bioRxiv · 10.1101/2020.02.28.963413

Super-resolved spatial transcriptomics by deep data fusion

Bergenstrahle, L.·He, B.·Bergenstrahle, J.·Andersson, A.·Lundeberg, J.·Zou, J.·Maaskola, J.
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Abstract

In situ RNA capturing has made it possible to record histology and spatial gene expression from the same tissue section. Here, we introduce a method that combines data from both modalities to infer super-resolved full-transcriptome expression maps. Our method unravels transcriptional heterogeneity in micrometer-scale anatomical features and enables image-based in silico spatial transcriptomics without hybridization or sequencing.

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Bergenstrahle, L., He, B., Bergenstrahle, J., Andersson, A., Lundeberg, J., Zou, J., Maaskola, J.. 2020-02-28. Super-resolved spatial transcriptomics by deep data fusion. https://doi.org/10.1101/2020.02.28.963413

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