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Noisy nuclei dataset for testing deep learning-based denoising tools

Name: Noisy nuclei dataset for testing deep learning-based denoising tools
Creator: Guillaume Jacquemet

Research datakeyboard_double_arrow_right Dataset 02 Dec 2021Publisher:Zenodo

Authors: Guillaume Jacquemet;

doi: 10.5281/zenodo.5750173 , 10.5281/zenodo.5750174

Noisy nuclei dataset for testing deep learning-based denoising tools

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Abstract

Description: Contains a denoising training and test dataset for deep learning applications. Training dataset: 20 paired matching noisy and high signal to noise images Test dataset: 5 paired matching noisy and high signal to noise images Microscopy data type: Fluorescence microscopy (SiR-DNA) images. Microscope: Spinning disk confocal microscope with a 20x 0.8 NA objective Cell type: DCIS.COM Lifeact-RFP cells File format: .tif (16-bit for fluorescence) Image size: 1024x1024 (Pixel size: 634 nm)

Related Organizations

Åbo Akademi University
Finland

4 Research products, page 1 of 1

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Impact byBIP!

	citations 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).	0
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