Annotated pixels from brightfield images from yeast cell in microfluidic traps - Training and Test sets - DetecDiv (id02)

<p>This dataset has been generated by manual segmentation from timelapse images of yeast cells dividing using the DetecDiv software (see below).</p> <p>It contains ~1950 raw images (folder &quot;images&quot;) associated with their mask (folder &quot;labels&quot;) with 3 classes of pixels according to their value on the mask image, &quot;1. background&quot;, &quot;2. mother&quot;, &quot;3. other&quot;.</p> <p>A splitSets.mat indicates which images have been used for training or for testing.</p> <p>It is related to the trained network <a href="https://doi.org/10.5281/zenodo.5553851">doi.org/10.5281/zenodo.5553851</a> from the software DetecDiv: github.com/gcharvin/DetecDiv</p> <p><a href="https://biorxiv.org/content/10.1101/2021.10.05.463175v1">biorxiv.org/content/10.1101/2021.10.05.463175v1</a></p> <p>-------------------------------------------------------</p> <p><strong>Data type</strong>: 2D microscopy images (brightfield) (.tif) + mask image (.tif)</p> <p><strong>Microscopy data type</strong>: Brightfield images</p> <p><strong>Imaging</strong>: 20x 0.45 NA brightfield, 6.5&micro;m*6.5&micro;m sCMOS</p> <p><strong>Cell type</strong>: Budding yeast wild type cell (BY4742)</p> <p><strong>File format</strong>: .tif (16-bit RGB, 1 color per z-stack) + .mat</p> <p><strong>Image size</strong>: Brightfield: 60x60x1 (Pixel size: x,y: 325 nm) // Mask: 60x60x1 (Pixel size: x,y: 325 nm), 3 pixel values (one per class).</p> <p><strong>Author(s)</strong>: Th&eacute;o, ASPERT</p> <p><strong>Contact email</strong>: theo.aspert@gmail.com</p> <p><strong>Affiliation</strong>: IGBMC, Universit&eacute; de Strasbourg</p> <p><strong>Funding bodies</strong>: This work was supported by the Agence Nationale pour la Recherche, the grant ANR-10-LABX-0030-INRT, a French State fund managed by the Agence Nationale de la Recherche under the frame program Investissements d&#39;Avenir ANR-10-IDEX-0002-02.</p>