ZeroCostDL4Mic - Noise2Void (2D) example training and test dataset
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Name: ZeroCostDL4Mic - Noise2Void (2D) example training and test dataset
(see our Wiki for details)
Data type: Microscopy images (fluorescence)
Microscopy data type: Fluorescence microscopy (paxillin-GFP)
Microscope: Spinning disk confocal microscope with a 63x 1.4 NA objective
Cell type: U-251 glioma cells, endogenously expressing paxillin-GFP
File format: .tif (16-bit)
Image size: 512x512 (Pixel size: 248 nm)
Author(s): Aki Stubb1, Guillaume Jacquemet1,2 and Johanna Ivaska1
Contact email: guillaume.jacquemet@abo.fi
Affiliation:
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
Associated publication: Stubb et al. 2020, Nano letters DOI: 10.1021/acs.nanolett.9b04083
Funding bodies: A.S. has been supported by the University of Turku Doctoral programme for Molecular Medicine (TuDMM).
创建时间：
2020-03-17
