Back to search

Article

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

2025-04-19

Abstract excerpt

<h4>ABSTRACT</h4> 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 EM image foundational model...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work
e29c7383-7340-5272-9dc4-f878daf07878
DOI
10.1101/2025.04.13.648639
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
Unifying the Electron Microscopy Multiverse through a Large-scale Foundation ModelDOI 10.1101/2025.04.13.648639
Select a neighboring publication to make it the new centre.