Article

H&Enium, Applying Foundation Models to Computational Pathology and Spatial Transcriptomics to Learn an Aligned Latent Space

2025-07-26

Abstract excerpt

Bridging the gap from transcriptomic to imaging data at single-cell resolution is essential for understanding tumor biology and improving cancer diagnostics. Spatial transcriptomics enables mapping gene expression onto H&E images of segmented single cells, but remains limited by cost and throughput. We introduce H&Enium, a contrastive alignment framework that projects image and gene expression embeddings from foun...

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Literature Corpus work: 305ea6d5-a9f3-5d9e-b7d7-58ba383208a2
DOI: 10.1101/2025.07.22.665986

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