Rapid Synthesis of Cryo-ET Data for Training Deep Learning Models
C. Purnell, J. Heebner, M. T. Swulius, R. Hylton, S. Kabonick, M. Grillo, S. Grigoryev, F. A. Heberle, N. Waxham, M. T. Swulius
This paper introduces a method to generate synthetic Cryo-ET data for training deep learning models, enabling accurate restoration and segmentation of real tomograms.
bioRxiv · Apr 28, 2023 · PreprintCell Biology