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

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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.
Näytä enemmän

Julkaisuvuosi

2020

Aineiston tyyppi

Tekijät

Zenodo - Julkaisija

Guillaume Jacquemet Orcid -palvelun logo - Tekijä

Projekti

Muut tiedot

Tieteenalat

Biokemia, solu- ja molekyylibiologia

Kieli

Saatavuus

Avoin

Lisenssi

Creative Commons Nimeä 4.0 Kansainvälinen (CC BY 4.0)

Avainsanat

Deep learning, Microscopy, Denoising, Noise2Void, 3D imaging

Asiasanat

Ajallinen kattavuus

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