Simulating the cellular context in synthetic datasets for cryo-electron tomography
Antonio Martinez-Sanchez,
Lorenz Lamm,
Marion Jasnin
et al.
Abstract:Cryo-electron tomography (cryo-ET) allows to visualize the cellular context at macromolecular level. To date, the impossibility of obtaining a reliable ground truth is limiting the application of deep learning-based image processing algorithms in this field. As a consequence, there is a growing demand of realistic synthetic datasets for training deep learning algorithms. In addition, besides assisting the acquisition and interpretation of experimental data, synthetic tomograms are used as reference models for … Show more
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