Deep Learning-Based Segmentation of Cryo-Electron TomogramsJessica E. Heebner 1, Carson Purnell 1, Ryan K. Hylton 1, Mike Marsh 2, Michael A. Grillo 1, Matthew T. Swulius 1
1Pennsylvania State University-College of Medicine, 2Object Research Systems
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.
