ArticleScientific data2018
Leukocyte Tracking Database, a collection of immune cell tracks from intravital 2-photon microscopy videos.
Article in Scientific data, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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Who cites it
12 citing papers in PubMed.
- Serial intravital microscopy reveals temporal dynamics of autoreactive germinal centers in the spleen.iScience · 2026Article
- Systematic analysis of immune cell motility leveraging the open intravital microscopy database Immunemap.The EMBO journal · 2026Article
- BEHAV3D Tumor Profiler to map heterogeneous cancer cell behavior in the tumor microenvironment.eLife · 2025Article
- An in vivo microscopy dataset for the characterization of leukocyte death.Scientific data · 2025Article
- AI-based hardware and software tools in microscopy to boost research in immunology and virology.Frontiers in immunology · 2025Review
- Transformer-based spatial-temporal detection of apoptotic cell death in live-cell imaging.eLife · 2024Article
- Tracking unlabeled cancer cells imaged with low resolution in wide migration chambers via U-NET class-1 probability (pseudofluorescence).Journal of biological engineering · 2023Article
- Intravital imaging to study cancer progression and metastasis.Nature reviews. Cancer · 2023Review
- Multiphoton intravital microscopy of rodents.Nature reviews. Methods primers · 2022Article
- Review
- A trainable clustering algorithm based on shortest paths from density peaks.Science advances · 2019Article
- Imaging Cell Interaction in Tracheal Mucosa During Influenza Virus Infection Using Two-photon Intravital Microscopy.Journal of visualized experiments : JoVE · 2018Article
Corrections and comments
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Authors and funding
15 authors.
Funding
No grant is acknowledged in the PubMed record.
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.
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Registered trials
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