ZeroCostDL4Mic - Noise2Void (3D) example training and test dataset (original) (raw)
Published March 17, 2020 | Version v1
Dataset Open
- 1. University of Turku and Åbo Akademi University, Turku, Finland
Description
Name: ZeroCostDL4Mic - Noise2Void (3D) example training and test dataset
(see our Wiki for details)
Data type: 3D microscopy images (fluorescence)
Microscopy data type: Fluorescence microscopy (Lifeact-RFP)
Microscope: Spinning disk confocal microscope with a 63x 1.4 NA objective
Cell type: A2780 ovarian carcinoma cells, transiently expressing Lifeact-RFP
File format: .tif (16-bit)
Image size: 512x512x13 (Pixel size: x,y: 195 nm , z: 500 nm)
Author(s): Guillaume Jacquemet1,2
Contact email: guillaume.jacquemet@abo.fi
Affiliation:
Faculty of Science and Engineering, Cell Biology, Åbo Akademi University, 20520 Turku, Finland
Turku Bioscience Centre, University of Turku and Åbo Akademi University, FI-20520 Turku, Finland
Associated publications: Kaukonen et al. 2017, Nature Protocol DOI: 10.1038/nprot.2017.107
Funding bodies: 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.
Files
Noise2Void (3D).zip
Files (584.5 MB)