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TrackRefiner is a post-processing tool specifically designed to refine the tracking outputs of CellProfiler, a widely used image processing tool. It improves tracking accuracy by refining segmentation and tracking outputs, pruning incorrect links, and adding missing ones. TrackRefiner combines traditional tracking methods with machine learning classifiers, requiring minimal user input while leveraging a data-driven approach to optimize results.
The general pipeline of TrackRefiner is illustrated in the following figure:
The following sections provide more details on:
- Installation Guide
- How to Run TrackRefiner
- Tutorial
- Reported Feature Explanations
- TrackRefiner Outputs
- Visualizing and Editing Bacterial Tracking
- Developers
If you use TrackRefiner in your research, please cite it using the following reference:
TrackRefiner: A tool for refinement of bacillus cell tracking data