ZeroCostDL4Mic - Noise2Void (2D) example training and test dataset
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<strong>Name</strong>: ZeroCostDL4Mic - Noise2Void (2D) example training and test dataset (see our Wiki for details) <strong>Data type</strong>: Microscopy images (fluorescence) <strong>Microscopy data type</strong>: Fluorescence microscopy (paxillin-GFP) <strong>Microscope</strong>: Spinning disk confocal microscope with a 63x 1.4 NA objective <strong>Cell type</strong>: U-251 glioma cells, endogenously expressing paxillin-GFP <strong>File format</strong>: .tif (16-bit) <strong>Image size</strong>: 512x512 (Pixel size: 248 nm) <strong>Author(s)</strong>: Aki Stubb<sup>1</sup>, Guillaume Jacquemet<sup>1,2</sup> and Johanna Ivaska<sup>1</sup> <strong>Contact email</strong>: guillaume.jacquemet@abo.fi <strong>Affiliation</strong>: 1) Turku Bioscience Centre, University of Turku and Åbo Akademi University, FI-20520 Turku, Finland 2) Faculty of Science and Engineering, Cell Biology, Åbo Akademi University, 20520 Turku, Finland <br> <strong>Associated publication</strong>: Stubb <em>et al.</em> 2020, Nano letters DOI: 10.1021/acs.nanolett.9b04083 <strong>Funding bodies</strong>: A.S. has been supported by the University of Turku Doctoral programme for Molecular Medicine (TuDMM).
