Training Generalized Segmentation Networks with Real and Synthetic Cryo-ET data.
Carson J. Purnell, Jessica E. Heebner, Linh Nguyen, Michael T. Swulius, Ryan K. Hylton, Seth G. Kabonick, Michael A. Grillo, Stephanie L. Grillo, Sergei A. Grigoryev, Frederick A. Heberle, M. Neal Waxham
The paper trains segmentation networks for cryo-ET data using synthetic and real data, showing that synthetic data with molecular diversity improves performance but real data is needed for generalization.
bioRxiv · Jan 31, 2025 · PreprintCell Biology