TrackRefiner

TrackRefiner refines bacillus cell tracking data generated by CellProfiler, correcting tracking errors and enhancing detection of individual cells during division events to improve tracking accuracy in single-cell resolution time-lapse microscopy of bacterial populations.

Key Features:

• CellProfiler Output Refinement: Specifically designed to refine the tracking outputs of CellProfiler.
• Error Correction: Corrects tracking errors with correction rates of 57-100% in benchmarked timelapses.
• Division Event Detection: Enhances detection of individual cells during division events and connects mother cells to daughters.
• High Detection Accuracy: Achieves over 98% detection accuracy for timelapses with frequent imaging.

Scientific Applications:

• Bacterial Population Dynamics: Supports assessment of cellular behavior and interaction dynamics in non-motile, rod-shaped bacteria through accurate image analysis.
• Densely Packed Population Tracking: Addresses tracking challenges in densely packed bacterial populations where cells are difficult to follow from frame to frame.

Methodology:

TrackRefiner processes CellProfiler tracking outputs to refine cell tracking data; benchmarks were performed on non-motile, rod-shaped bacteria with frequent imaging timelapses.