Published December 2, 2021 | Version v1
Dataset Open

Noisy nuclei dataset for testing deep learning-based denoising tools

Creators

  • 1. Abo Akademi university

Description

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)

Files

Denoising_Dataset.zip

Files (85.3 MB)

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