CellTracksColab

CellTracksColab compiles, analyzes, and explores cell tracking data to enable unbiased identification of behavioral patterns through high-dimensional data reduction and clustering across integrated multi-experiment datasets.

Key Features:

• Multi-experiment integration: Compiles and analyzes results across multiple fields of view, conditions, and repeats for holistic dataset overview.
• High-dimensional data reduction and clustering: Identifies distinct behavioral patterns and trends without bias.
• Spatial analysis modules: Enables clustering analyses and proximity measurements to specific regions of interest.

Scientific Applications:

• T cell migration: Demonstrated capability for analyzing T cell tracking data.
• Cancer cell migration: Demonstrated capability for analyzing cancer cell tracking data.
• Filopodia dynamics: Demonstrated capability for analyzing filopodia tracking data.

Methodology:

High-dimensional data reduction and clustering; spatial analyses including clustering and proximity to regions of interest.