STrack: A tool to Simply Track bacterial cells in microscopy time-lapse images

<p>The datasets consist of&nbsp;time-lapse images underlying the research article &quot;STrack: A tool to Simply Track bacterial cells in microscopy time-lapse images&quot;. Please visit the STrack github page for instructions on how to install and use&nbsp;STrack to track cells in images containing segmented cell masks:&nbsp;https://github.com/Helena-todd/STrack</p> <p>The data was generated at the Department of Fundamental Microbiology, University of Lausanne, 1015 Lausanne, Switzerland, by Tania Miguel Trabajo. The datasets are&nbsp;organised in four folders, one per bacterial species (<em>Pseudomonas putida, Pseudomonas veronii, Rahnella and Lysobacter</em>), that each contain 5 time-lapse datasets. Each of the 20 folders&nbsp;is organised in&nbsp;two subfolders, containing:</p> <p>- the raw, phase contrast, timelapse images (taken with a Nikon ECLIPSE Ti Series inverted microscope coupled with a Hamamatsu C11440 22CU camera and a Nikon CFI Plan Apo Lambda 100X Oil objective)</p> <p>- the manually segmented masks (manually generated using the QuPath open-source software for bioimage analysis )</p> <p>Dowload and unzip to view the contents.</p>