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Updated: Oct 11, 2025

Spatial Profiling of Protein and RNA Expression in Tissue: An Approach to Fine-Tune Virtual Microdissection
Published on: July 6, 2022
Super-resolved spatial transcriptomics by deep data fusion
Ludvig Bergenstråhle1, Bryan He2, Joseph Bergenstråhle1
1SciLifeLab, Department of Gene Technology, KTH Royal Institute of Technology, Stockholm, Sweden.
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.
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