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Method Article
Steven J. Ludtke
Ludtke Lab, Baylor College of Medicine
Corresponding Author
License:
This work is licensed under a CC BY 4.0 License. Read Full License
Cellular Electron Cryotomography (CryoET) offers the ability to look inside cells and observe macromolecules frozen in action. A primary challenge for this technique is identifying and extracting the molecular components within the crowded cellular environment. We introduce a method using convolutional neural networks to dramatically reduce the time and human effort required for subcellular annotation and feature extraction.
Keywords
Cellular Electron Cryotomography, convolutional neural network, tomogram annotation
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The authors declare no competing financial interests.
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Associated Publications
Convolutional neural networks for automated annotation of cellular cryo-electron tomograms
by Muyuan Chen, Wei Dai, Stella Y Sun, +5
Nature Methods (29 August, 2017)
Method Article
Steven J. Ludtke
Ludtke Lab, Baylor College of Medicine
Corresponding Author
Version History
CURRENT STATUS: Posted
Version 1
Posted 29 Aug, 2017
No community comments so far
Metrics
Comments: 0
HTML Views: ...
License:
This work is licensed under a CC BY 4.0 License. Read Full License
Cellular Electron Cryotomography (CryoET) offers the ability to look inside cells and observe macromolecules frozen in action. A primary challenge for this technique is identifying and extracting the molecular components within the crowded cellular environment. We introduce a method using convolutional neural networks to dramatically reduce the time and human effort required for subcellular annotation and feature extraction.
Figure 1
Figure 2
Figure 3
Figure 4
Figure 5
Figure 6
Figure 7
Figure 8
Loading...
Associated Publications
Convolutional neural networks for automated annotation of cellular cryo-electron tomograms
by Muyuan Chen, Wei Dai, Stella Y Sun, +5
Nature Methods (29 August, 2017)