{"url":"/dataset/2d-hela","name":"2D Hela","full_name":null,"description_markdown":"2D HeLa is a dataset of fluorescence microscopy images of HeLa cells stained with various organelle-specific fluorescent dyes. The images include 10 organelles, which are DNA (Nuclei), ER (Endoplasmic reticulum), Giantin, (cis/medial Golgi), GPP130 (cis Golgi), Lamp2 (Lysosomes), Mitochondria, Nucleolin (Nucleoli), Actin, TfR (Endosomes), Tubulin.\r\nThe purpose of the dataset is to train a computer program to automatically identify sub-cellular organelles.\r\n\r\n\r\nPaper: [M. V. Boland and R. F. Murphy (2001). A Neural Network Classifier Capable of Recognizing the Patterns of all Major Subcellular Structures in Fluorescence Microscope Images of HeLa Cells. Bioinformatics 17:1213-1223](https://doi.org/10.1093/bioinformatics/17.12.1213)\r\n\r\nSource: [Identifying Sub-cellular Organelles](https://ome.grc.nia.nih.gov/iicbu2008/hela/index.html)\r\n\r\nImage Source: [Identifying Sub-cellular Organelles](https://ome.grc.nia.nih.gov/iicbu2008/hela/index.html)","description_withheld":null,"homepage":"https://ome.grc.nia.nih.gov/iicbu2008/hela/index.html","introduced_date":null,"introduced_date_note":null,"introduced_by":null,"license":null,"modalities":[{"name":"Images","url":"/datasets/modality/images"},{"name":"Biology","url":"/datasets/modality/biology"}],"tasks":[],"languages":[],"variants":["2D Hela"],"data_loaders":[],"num_papers_in_archive":6,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[],"papers_with_a_benchmark_row":[],"syntology_totals":{"read_at":"2026-09-24T18:15:14+00:00","papers_with_samples":0,"samples_harvested":0,"samples_ran":0,"samples_unverified":0,"pointer_only_for_licence":0,"papers_with_no_sample_that_ran":0,"note":"the per-paper counts above, summed; not a rate"},"papers_note":"The archive never published its papers-using-dataset list; these are papers with a leaderboard row on this dataset's benchmarks."}