Published March 17, 2020 | Version v1
Dataset Open

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

  • 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

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

 

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)

Name Size Download all
md5:d8eb1124ff405b8e5ce7c62929f95a0e
584.5 MB Preview Download