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Cryo-electron Microscopy

Cryo-electron Microscopy

Conventional electron microscopy (EM) involves dehydration, fixation, and staining of biological samples, which distorts the native state of biological molecules and results in several artifacts. Also, the high-energy electron beam damages the sample and makes it difficult to obtain high-resolution images. These issues can be addressed using cryo-EM, which uses frozen samples and gentler electron beams. The technique was developed by Jacques Dubochet, Joachim Frank, and Richard Henderson, for...

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Related Experiment Video

Updated: Jun 29, 2026

Deep Learning-Based Segmentation of Cryo-Electron Tomograms

Deep Learning-Based Segmentation of Cryo-Electron Tomograms

Published on: November 11, 2022

Editorial: Breakthroughs in Cryo-EM with machine learning and artificial intelligence

Edward T Eng¹, Sonya M Hanson², Ruben Sanchez-Garcia^3,4

¹Simons Electron Microscopy Center, New York Structural Biology Center, New York, NY, United States.

Frontiers in Molecular Biosciences

|December 8, 2025

Summary

No abstract available in PubMed .

Keywords:

CryoEM CryoET artificial intelligence computer vision deep learning life sciences machine learning

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