AIMC Topic: Electron Microscope Tomography

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Convolutional neural networks for automated annotation of cellular cryo-electron tomograms.

Nature methods
Cellular electron cryotomography offers researchers the ability to observe macromolecules frozen in action in situ, but a primary challenge with this technique is identifying molecular components within the crowded cellular environment. We introduce ...

AITom: AI-guided cryo-electron tomography image analyses toolkit.

Journal of structural biology
Cryo-electron tomography (cryo-ET) is an essential tool in structural biology, uniquely capable of visualizing three-dimensional macromolecular complexes within their native cellular environments, thereby providing profound molecular-level insights. ...

Quantitative spatial analysis of chromatin biomolecular condensates using cryoelectron tomography.

Proceedings of the National Academy of Sciences of the United States of America
Phase separation is an important mechanism to generate certain biomolecular condensates and organize the cell interior. Condensate formation and function remain incompletely understood due to difficulties in visualizing the condensate interior at hig...

Deep learning-based subdivision approach for large scale macromolecules structure recovery from electron cryo tomograms.

Bioinformatics (Oxford, England)
MOTIVATION: Cellular Electron CryoTomography (CECT) enables 3D visualization of cellular organization at near-native state and in sub-molecular resolution, making it a powerful tool for analyzing structures of macromolecular complexes and their spati...