ZeroCostDL4Mic - Noise2Void (3D) example training and test dataset

<strong>Name</strong>: ZeroCostDL4Mic - Noise2Void (3D) example training and test dataset (see our Wiki for details) <strong>Data type</strong>: 3D microscopy images (fluorescence) <strong>Microscopy data type</strong>: Fluorescence microscopy (Lifeact-RFP) <strong>Microscope</strong>: Spinning disk confocal microscope with a 63x 1.4 NA objective <strong>Cell type</strong>: A2780 ovarian carcinoma cells, transiently expressing Lifeact-RFP <strong>File format</strong>: .tif (16-bit) <strong>Image size</strong>: 512x512x13 (Pixel size: x,y: 195 nm , z: 500 nm) <strong>Author(s)</strong>: Guillaume Jacquemet^1,2 <strong>Contact email</strong>: [e-mail] <strong>Affiliation</strong>: 1) Faculty of Science and Engineering, Cell Biology, Åbo Akademi University, 20520 Turku, Finland 2) Turku Bioscience Centre, University of Turku and Åbo Akademi University, FI-20520 Turku, Finland <strong>Associated publications</strong>: Kaukonen <em>et al.</em> 2017, Nature Protocol DOI: 10.1038/nprot.2017.107 <strong>Funding bodies</strong>: G.J. was supported by grants awarded by the Academy of Finland, the Sigrid Juselius Foundation and Åbo Akademi University Research Foundation (CoE CellMech) and by Drug Discovery and Diagnostics strategic funding to Åbo Akademi University.