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Deep Learning-Based Segmentation of Cryo-Electron Tomograms
JoVE Journal
Biologia
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JoVE Journal Biologia
Deep Learning-Based Segmentation of Cryo-Electron Tomograms
DOI:

10:25 min

November 11, 2022

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Capítulos

  • 00:05Introduction
  • 00:45Image Import and Preprocessing
  • 02:45Creating Training Data
  • 05:13Using the Segmentation Wizard for Iterative Training
  • 06:52Apply the Network
  • 07:36Segmentation Manipulation and Cleanup
  • 08:16Results: Analysis of the Tomogram of DIV 5 Hippocampal Rat Neuron
  • 09:40Conclusion

Summary

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This is a method for training a multi-slice U-Net for multi-class segmentation of cryo-electron tomograms using a portion of one tomogram as a training input. We describe how to infer this network to other tomograms and how to extract segmentations for further analyses, such as subtomogram averaging and filament tracing.

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