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

Diego Ulisse Pizzagalli, Yagmur Farsakoglu, Miguel Palomino-Segura, Elisa Palladino, Jordi Sintes, Francesco Marangoni, Thorsten R. Mempel, Wan Hon Koh, Thomas T. Murooka, Flavian Thelen, Jens V. Stein, Giuseppe Pozzi, Marcus Thelen, Rolf Krause, Santiago Fernandez Gonzalez*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

13 Scopus citations

Abstract

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.

Original languageEnglish (US)
Article number180129
JournalScientific data
Volume5
DOIs
StatePublished - Jul 17 2018

ASJC Scopus subject areas

  • Statistics and Probability
  • Information Systems
  • Education
  • Computer Science Applications
  • Statistics, Probability and Uncertainty
  • Library and Information Sciences

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