Huygens Object Tracker tracks the movement of cells and particles in time series images. By manually selecting just a few objects and background regions, the machine learning algorithm in the Object Tracker is sufficiently trained to automatically detect new objects. The included Track Analyzer allows you to filter, edit, and analyze every track. It presents the properties of the measured tracks in informative graphs and allows you to export track data to a file.
FUCCI cells tracked for 50 seconds with Huygens Object Tracker. Courtesy of Dr. Richard Wubbolts, Center for Cell Imaging, Faculty of Veterinary Medicine, University of Utrecht, The Netherlands.
Easy to use
By manually selecting just a few objects and background regions, the machine learning algorithm is trained to identify all objects of similar type.
Objects classification is based on various features, including brightness and size, and can be refined using additional filters.
Filter, edit, and analyze the tracks. The Track Analyzer presents the properties of all measured tracks in informative graphs and allows export of track data to a file.
Detect objects using brightness and other features.
Define thresholds on the number of objects, brightness, and width.
Use object geometry and orientation for connecting tracks.
Quick edit tracks (remove, break, connect).
Export tracks to Track Analyzer.
Save track detection settings to a template file to re-use.
Save tracks for future analysis in the Track Analyzer.
Analyze speed; histogram, average speed, and x vs y velocity scatter plot.
Analyze flow; transport through a surface, defined using a line/poly-line in a Z-projection. Plot flux vs. time.
Analyze intensity of objects over time.
Analyze axial rotation and 3D angular speed of objects.
Export data to CSV file for any further analysis in e.g. Excel and Matlab.
Export graphs to EPS (Encapsulated PostScript) file.
Why wait? Try out this option by downloading Huygens and request a test license, or receive pricing information.
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