TY - JOUR
T1 - Data Descriptor
T2 - Leukocyte Tracking Database, a collection of immune cell tracks from intravital 2-photon microscopy videos
AU - Pizzagalli, Diego Ulisse
AU - Farsakoglu, Yagmur
AU - Palomino-Segura, Miguel
AU - Palladino, Elisa
AU - Sintes, Jordi
AU - Marangoni, Francesco
AU - Mempel, Thorsten R.
AU - Koh, Wan Hon
AU - Murooka, Thomas T.
AU - Thelen, Flavian
AU - Stein, Jens V.
AU - Pozzi, Giuseppe
AU - Thelen, Marcus
AU - Krause, Rolf
AU - Gonzalez, Santiago Fernandez
N1 - Publisher Copyright:
© 2018 Author(s).
PY - 2018/7/17
Y1 - 2018/7/17
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=85050393848&partnerID=8YFLogxK
U2 - 10.1038/sdata.2018.129
DO - 10.1038/sdata.2018.129
M3 - Article
C2 - 30015806
AN - SCOPUS:85050393848
SN - 2052-4463
VL - 5
JO - Scientific data
JF - Scientific data
M1 - 180129
ER -