{"EMPIAR-11035":{"imagesets":[{"segmentations":[],"name":"1,592,753 unlabeled 2D cellular EM (CEM1.5M) image dataset curated for deep learning","directory":"data","category":"micrographs - single frame","header_format":"TIFF","data_format":"TIFF","num_images_or_tilt_series":1592753,"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":"This zip file contains 1,592,753 heterogeneous, information-rich, non-redundant unlabeled 2D cellular EM (hence CEM1.5M) images, divided into 651 subdirectories (each directory being a unique vEM or EM image set). The image patches are mostly 224 x 224 pixels, however some are 512 x 512, and some are smaller. The raw image data was curated for deep learning largely following Conrad and Narayan, eLife 2021. https://elifesciences.org/articles/65894","image_width":"224","image_height":"224"}],"workflow_file":null,"grant_references":[],"version_history":[],"title":"CEM1.5M : a cellular EM dataset containing ~1.5 x 106 unlabeled 2D image patches curated for deep learning","principal_investigator":[{"author_orcid":"0000-0001-7982-6494","middle_name":null,"organization":"NCI/FNLCR","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-11035"}],"status":"REL","deposition_date":"2022-04-28","release_date":"2022-05-20","obsolete_date":null,"update_date":"2022-05-20","corresponding_author":{"author":{"author_orcid":"0000-0001-7982-6494","middle_name":null,"organization":"NCI/FNLCR","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":"Narayan K","author_orcid":"0000-0001-7982-6494"}}],"cross_references":[],"biostudies_references":[],"idr_references":[],"empiar_references":[{"name":"EMPIAR-11037"}],"citation":[{"authors":[{"name":"Narayan K","author_orcid":"0000-0001-7982-6494"}],"editors":[],"published":false,"j_or_nj_citation":true,"title":"Instance segmentation of mitochondria in electron microscopy images with a generalist deep learning model","volume":null,"country":"","first_page":null,"last_page":null,"year":null,"language":null,"doi":null,"pubmedid":null,"details":null,"book_chapter_title":null,"publisher":null,"publication_location":null,"journal":"","journal_abbreviation":"","issue":null,"preprint":false}],"dataset_size":"57.6 GB","experiment_type":"FIB-SEM","scale":null,"entry_doi":"10.6019/EMPIAR-11035"}}