{"url":"/dataset/immobilized-fluorescently-stained-zebrafish","name":"Immobilized fluorescently stained zebrafish through the eXtended Field of view Light Field Microscope 2D-3D dataset","full_name":null,"description_markdown":"This dataset comprises three immobilized fluorescently stained zebrafish imaged through the eXtended Field of view Light Field Microscope (XLFM, also known as Fourier Light Field Microscope). The images were preprocessed with the SLNet, which extracts the sparse signals from the images (a.k.a. the neural activity).\r\n\r\nIf you intend to use this with Pytorch, you can find a data loader and working source code to load and train networks here.\r\n\r\nThis dataset is part of the publication: Fast light-field 3D microscopy with out-of-distribution detection and adaptation through Conditional Normalizing Flows.","description_withheld":null,"homepage":"https://github.com/pvjosue/CWFA","introduced_date":"2023-06-10","introduced_date_note":null,"introduced_by":{"paper":"/paper/fast-light-field-3d-microscopy-with-out-of","title":"Fast light-field 3D microscopy with out-of-distribution detection and adaptation through Conditional Normalizing Flows","first_author":"Josué Page Vizcaíno","url":null},"license":null,"modalities":[],"tasks":[],"languages":[],"variants":["Immobilized fluorescently stained zebrafish through the eXtended Field of view Light Field Microscope 2D-3D dataset"],"data_loaders":[],"num_papers_in_archive":1,"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":"2026-09-25T09:33:49+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."}