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November 11, 2022
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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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Heebner, J. E., Purnell, C., Hylton, R. K., Marsh, M., Grillo, M. A., Swulius, M. T. Deep Learning-Based Segmentation of Cryo-Electron Tomograms. J. Vis. Exp. (189), e64435, doi:10.3791/64435 (2022).
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