Noisy nuclei dataset for testing deep learning-based denoising tools

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