{"EMPIAR-10592":{"imagesets":[{"segmentations":[],"name":"CEM500K","directory":"data/data","category":"micrographs - single frame","header_format":"TIFF","data_format":"TIFF","num_images_or_tilt_series":496544,"frames_per_image":1,"frame_range_min":null,"frame_range_max":null,"voxel_type":"UNSIGNED BYTE","pixel_width":null,"pixel_height":null,"micrographs_file_pattern":"","picked_particles_file_pattern":"","picked_particles_directory":"","details":"CEM500K is a collection of 496,544 images (224x224 unsigned 8 bit .tiff) of cellular EM images, curated specifically for deep learning applications. See for more details: https://doi.org/10.1101/2020.12.11.421792\n\ndata/metadata/cem500k_image_metadata.csv file contains the details of each image file in CEM500K: image_name, source_experiment, doi, imaging_mode, organism, tissue\n\nResNet50 weights pretrained on CEM500K using MoCoV2 algorithm in PyTorch format are stored in data/pretrained_models/cem500k_mocov2_resnet50_200ep_pth.tar","image_width":"224","image_height":"224"}],"workflow_file":null,"grant_references":[],"version_history":[],"title":"CEM500K - A large-scale heterogeneous unlabeled cellular electron microscopy image dataset for deep learning.","principal_investigator":[{"author_orcid":"0000-0001-7982-6494","middle_name":null,"organization":"FNL, NCI, NIH","street":null,"town_or_city":"Frederick","state_or_province":"MD","post_or_zip":"21701","telephone":null,"fax":null,"first_name":"Kedar","last_name":"Narayan","email":"narayank [at] mail.nih.gov","country":"United States","entry":"EMPIAR-10592"}],"status":"REL","deposition_date":"2020-12-11","release_date":"2020-12-21","obsolete_date":null,"update_date":"2022-01-26","corresponding_author":{"author":{"author_orcid":"0000-0001-7982-6494","middle_name":null,"organization":"FNL, NCI, NIH","street":null,"town_or_city":"Frederick","state_or_province":"MD","post_or_zip":"21701","first_name":"Kedar","last_name":"Narayan","country":"United States"}},"authors":[{"author":{"name":"Conrad RW","author_orcid":null}},{"author":{"name":"Narayan K","author_orcid":"0000-0001-7982-6494"}}],"cross_references":[],"biostudies_references":[],"idr_references":[],"empiar_references":[],"citation":[{"authors":[{"name":"Conrad RW","author_orcid":null},{"name":"Narayan K","author_orcid":"0000-0001-7982-6494"}],"editors":[],"published":true,"j_or_nj_citation":true,"title":"CEM500K - A large-scale heterogeneous unlabeled cellular electron microscopy image dataset for deep learning.","volume":null,"country":"United States","first_page":null,"last_page":null,"year":"2020","language":"English","doi":"10.1101/2020.12.11.421792","pubmedid":null,"details":null,"book_chapter_title":null,"publisher":null,"publication_location":null,"journal":"bioRxiv","journal_abbreviation":"bioRxiv","issue":null,"preprint":true},{"authors":[{"name":"Conrad RW","author_orcid":null},{"name":"Narayan K","author_orcid":"0000-0001-7982-6494"}],"editors":[],"published":true,"j_or_nj_citation":true,"title":"CEM500K, a large-scale heterogeneous unlabeled cellular electron microscopy image dataset for deep learning","volume":null,"country":"United States","first_page":null,"last_page":null,"year":"2020","language":"English","doi":"10.7554/eLife.65894.sa2","pubmedid":null,"details":null,"book_chapter_title":null,"publisher":null,"publication_location":null,"journal":"eLife","journal_abbreviation":"eLife","issue":"2050-084X","preprint":false}],"dataset_size":"16.6 GB","experiment_type":"FIB-SEM","scale":null,"entry_doi":"10.6019/EMPIAR-10592"}}