ZeroCostDL4Mic - Noise2Void (2D) example training and test dataset
<p><strong>Name</strong>: ZeroCostDL4Mic - Noise2Void (2D) example training and test dataset</p> <p>(see <a href="https://github.com/HenriquesLab/ZeroCostDL4Mic/wiki">our Wiki</a> for details)</p> <p> </p> <p><strong>Data type</strong>: Microscopy images (fluorescence)</p> <p><strong>Microscopy data type</strong>: Fluorescence microscopy (paxillin-GFP) </p> <p><strong>Microscope</strong>: Spinning disk confocal microscope with a 63x 1.4 NA objective </p> <p><strong>Cell type</strong>: U-251 glioma cells, endogenously expressing paxillin-GFP</p> <p><strong>File format</strong>: .tif (16-bit)</p> <p><strong>Image size</strong>: 512x512 (Pixel size: 248 nm)</p> <p> </p> <p><strong>Author(s)</strong>: Aki Stubb<sup>1</sup>, Guillaume Jacquemet<sup>1,2</sup> and Johanna Ivaska<sup>1</sup></p> <p><strong>Contact email</strong>: guillaume.jacquemet@abo.fi</p> <p><strong>Affiliation</strong>: </p> <p>1) Turku Bioscience Centre, University of Turku and Åbo Akademi University, FI-20520 Turku, Finland</p> <p>2) Faculty of Science and Engineering, Cell Biology, Åbo Akademi University, 20520 Turku, Finland</p> <p><br> </p> <p><strong>Associated publication</strong>: Stubb <em>et al.</em> 2020, Nano letters DOI: 10.1021/acs.nanolett.9b04083</p> <p><strong>Funding bodies</strong>: A.S. has been supported by the University of Turku Doctoral programme for Molecular Medicine (TuDMM).</p>
ShareScore
40/100
Overall dataset sharing score
Score breakdown
These five areas show where the dataset supports — or may limit — practical reuse.
- Stewardship
- 8
- Harmonization
- 4
- Access
- 16
- Reuse readiness
- 8
- Engagement
- 4