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Unifying the Electron Microscopy Multiverse through a Large-scale Foundation Model

2025-06-09

Abstract excerpt

<title>Abstract</title> <p>Accurate analysis of electron microscopy (EM) images is essential for exploring nanoscale biological structures, yet data heterogeneity and fragmented workflows hinder scalable insights. Pretrained on large, diverse datasets, image foundation models provide a robust framework for learning transferable representations across tasks. Here, we introduce EM-DINO, the first image foundational...

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Literature Corpus work: cbf82f66-8961-543a-9375-9b54620dff29
DOI: 10.21203/rs.3.rs-6820885/v1

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