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

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

doi: 10.5281/zenodo.3713336 , 10.5281/zenodo.3713337

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

Abstract

Name: ZeroCostDL4Mic - CARE (3D) example training and test dataset (see our Wiki for details) Data type: 3D paired microscopy images (fluorescence) of low and high signal-to-noise ratio Microscopy data type: Fluorescence microscopy (Lifeact-RFP) Microscope: Structured Illumination Microscopy (SIM) with a 60x 1.42 NA objective Cell type: DCIS.COM Lifeact-RFP File format: .tif (32-bit) Image size: 1024x1024x33 (Pixel size: x,y: 40 nm, z: 125 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Bioscience Centre, University of Turku and Åbo Akademi University, FI-20520 Turku, Finland Associated publications: Unpublished Funding bodies: G.J. was supported by grants awarded by the Academy of Finland, the Sigrid Juselius Foundation and Åbo Akademi University Research Foundation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.

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Keywords

Microscopy, Denoising, 3D imaging, Content-aware image restoration, Deep learning, CARE

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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.
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influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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