The datasets consist of time-lapse images underlying the research article "STrack: A tool to Simply Track bacterial cells in microscopy time-lapse images". Please visit the STrack github page for instructions on how to install and use STrack to track cells in images containing segmented cell masks: https://github.com/Helena-todd/STrack The data was generated at the Department of Fundamental Microbiology, University of Lausanne, 1015 Lausanne, Switzerland, by Tania Miguel Trabajo. The datasets are organised in four folders, one per bacterial species (Pseudomonas putida, Pseudomonas veronii, Rahnella and Lysobacter), that each contain 5 time-lapse datasets. Each of the 20 folders is organised in two subfolders, containing: - 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) - the manually segmented masks (manually generated using the QuPath open-source software for bioimage analysis ) Dowload and unzip to view the contents.

This work was supported by the Swiss National Science Foundation Sinergia program [grant number CRSII5_189919/1] and by the National Center of Competence in Research NCCR Microbiomes.