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Dataset . 2020
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ZENODO
Dataset . 2020
License: CC BY
Data sources: Datacite
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ZENODO
Dataset . 2020
License: CC BY
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Research.fi
Dataset . 2020
License: CC BY
Data sources: Research.fi
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ZeroCostDL4Mic - Noise2Void (3D) example training and test dataset

Research datakeyboard_double_arrow_right Dataset 17 Mar 2020 Finland English Publisher:Zenodo
Authors: Guillaume Jacquemet;

doi: 10.5281/zenodo.3713325 , 10.5281/zenodo.3713326

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

Abstract

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.

Country
Finland
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Keywords

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

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
OpenAIRE UsageCountsViews provided by UsageCounts
downloads
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1
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20
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