ezTrack
ezTrack performs video-based tracking and quantification of animal behavior to generate frame-by-frame behavioral measures for alignment with physiological recordings.
Key Features:
- Interactive Python-based analysis: Uses interactive Python scripts with interactive plots and visualizations for parameter selection and result inspection.
- Positional Analysis Module: Tracks the location and motion of an individual animal for a broad spectrum of behavioral tasks.
- Freezing Behavior Module: Detects and quantifies freezing behavior from video recordings.
- Batch Processing: Processes multiple video files in batch to enable rapid analysis of large datasets.
- Frame-by-Frame Output: Produces frame-by-frame output to facilitate precise temporal alignment with biological recording data.
- Customization Options: Provides video cropping, time-segment selection, and region-of-interest (ROI) definition to tailor analyses and exclude interference such as fiberoptic/electrophysiology cables.
Scientific Applications:
- Positional tracking in behavioral assays: Quantifies animal location and motion across a wide range of behavioral experiments.
- Freezing behavior measurement: Quantifies immobility events for studies requiring freezing analysis.
- Integration with physiological recordings: Aligns behavioral measures with electrophysiology and fiberoptic physiological recordings via frame-by-frame outputs.
Methodology:
Interactive Python scripts with interactive plots and visualizations; separate modules for positional tracking and freezing behavior; batch processing of multiple video files; frame-by-frame output generation; options for video cropping, time-specific analysis, and ROI definition.
Topics
Details
- License:
- GPL-3.0
- Tool Type:
- workflow
- Programming Languages:
- Python
- Added:
- 1/14/2020
- Last Updated:
- 12/28/2020
Operations
Publications
Pennington ZT, Dong Z, Feng Y, Vetere LM, Page-Harley L, Shuman T, Cai DJ. ezTrack: An open-source video analysis pipeline for the investigation of animal behavior. Scientific Reports. 2019;9(1). doi:10.1038/s41598-019-56408-9. PMID:31882950. PMCID:PMC6934800.