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2020 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)
We propose an efficient method for simulating a cryo-Electron Tomography (cryo-ET) image of a target macromolecule with several neighbor macromolecules packed to achieve a realistic crowded cytoplasm content. The simulated results are subtomograms with corresponding noise-free 3D density maps and pre-specified labels (PDB ID, center locations, and orientations) to assist bioimage analysis. They can serve as benchmark datasets for testing developing cryo-ET analysis algorithms and as trainingdoi:10.1109/bibm49941.2020.9313185 fatcat:fyjmy3sic5efvb4rajxwooow5q