Semi-automated object tracking methods in biological imaging
Jazyk angličtina Země Spojené státy americké Médium electronic
Typ dokumentu časopisecké články
- Klíčová slova
- digital imaging, image analysis, image segmentation methods, object linking, object tracking, sampling frequency, single-particle tracking,
- MeSH
- časosběrné zobrazování MeSH
- Chlamydomonas cytologie MeSH
- dánio pruhované MeSH
- fluorescence MeSH
- krevní buňky cytologie MeSH
- malá interferující RNA metabolismus MeSH
- regionální krevní průtok MeSH
- rozpoznávání automatizované metody MeSH
- zobrazování trojrozměrné * MeSH
- zvířata MeSH
- Check Tag
- zvířata MeSH
- Publikační typ
- časopisecké články MeSH
- Názvy látek
- malá interferující RNA MeSH
Time-lapse imaging is a rich data source offering potential kinetic information of cellular activity and behavior. Tracking and extracting measurements of objects from time-lapse datasets are challenges that result from the complexity and dynamics of each object's motion and intensity or the appearance of new objects in the field of view. A wide range of strategies for proper data sampling, object detection, image analysis, and post-analysis interpretation are available. Theory and methods for single-particle tracking, spot detection, and object linking are discussed in this unit, as well as examples with step-by-step procedures for utilizing semi-automated software and visualization tools for achieving tracking results and interpreting this output.
Zobrazit více v PubMed
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