> Detailanzeige

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; Thelen, Marcus; Krause, Rolf; Gonzalez, Santiago Fernandez

Leukocyte Tracking Database, a collection of immune cell tracks from intravital 2-photon microscopy videos

Literatur-
verwaltung

Zur
Merkliste

Lösche von
Merkliste

Per Whatsapp teilen

Schließen

Merkliste



Sie können Bookmarks mittels Listen verwalten, loggen Sie sich dafür bitte in Ihr SLUB Benutzerkonto ein.
  • Medientyp: E-Artikel
  • Titel: Leukocyte Tracking Database, a collection of immune cell tracks from intravital 2-photon microscopy videos
  • Beteiligte: 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; Thelen, Marcus; Krause, Rolf; Gonzalez, Santiago Fernandez
  • Erschienen: Springer Science and Business Media LLC, 2018
  • Erschienen in: Scientific Data
  • Sprache: Englisch
  • DOI: 10.1038/sdata.2018.129
  • ISSN: 2052-4463
  • Schlagwörter: Library and Information Sciences ; Statistics, Probability and Uncertainty ; Computer Science Applications ; Education ; Information Systems ; Statistics and Probability
  • Entstehung:
  • Anmerkungen:
  • Beschreibung: <jats:title>Abstract</jats:title><jats:p>Recent advances in intravital video microscopy have allowed the visualization of leukocyte behavior <jats:italic>in vivo</jats:italic>, 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.</jats:p>
  • Zugangsstatus: Freier Zugang