Pizzagalli, Diego Ulisse Farsakoglu, Yagmur Palomino-Segura, Miguel Palladino, Elisa Sintes, Jordi Marangoni, Francesco Mempel, Thorsten R. Koh, Wan Hon Murooka, Thomas T. Thelen, Flavian Stein, Jens V. Pozzi, Giuseppe Marcus Thelen Krause, Rolf Gonzalez, Santiago Fernandez 2018-07-17 Recent advances in intravital video microscopy have allowed the visualization of leukocyte behavior in vivo, revealing unprecedented spatiotemporal dynamics of immune cell interaction. However, state-of-the-art software and methods for automatically measuring cell migration exhibit limitations in tracking the position of leukocytes over time. Challenges arise both from the complex migration patterns of these cells and from the experimental artifacts introduced during image acquisition. Additionally, the development of novel tracking tools is hampered by the lack of a sound ground truth for algorithm validation and benchmarking. Therefore, the objective of this work was to create a database, namely LTDB, with a significant number of manually tracked leukocytes. Broad experimental conditions, sites of imaging, types of immune cells and challenging case studies were included to foster the development of robust computer vision techniques for imaging-based immunological research. Lastly, LTDB represents a step towards the unravelling of biological mechanisms by video data mining in systems biology. application/pdf https://n2t.net/ark:/12658/srd1318894 https://susi.usi.ch/global/documents/318894 https://susi.usi.ch/documents/318894/files/Pizzagalli_SD_2018.pdf eng info:eu-repo/semantics/altIdentifier/doi/10.1038/sdata.2018.129 info:eu-repo/semantics/altIdentifier/ark/12658/srd1318894 info:eu-repo/semantics/openAccess CC BY Scientific data. - 2018, vol. 5, p. 180129 Data mining Image processing Immunology Machine learning Systems biology info:eu-repo/classification/udc/61 Leukocyte tracking database, a collection of immune cell tracks from intravital 2-photon microscopy videos http://purl.org/coar/resource_type/c_6501