celltrackR

celltrackR analyzes immune cell migration data from time-lapse microscopy by quantifying, visualizing, clustering, and simulating cell tracks to study cell movement and address biases and imaging artifacts.

Key Features:

• Data management: Functions for importing and organizing cell track data for downstream analysis.
• Quality control: Tools to detect and handle biases and imaging artifacts in migration datasets.
• Migration statistics extraction: Extraction of quantitative migration statistics from track data.
• Visualization: Generation of plots and visual summaries of tracks and migration statistics.
• Clustering of tracks: Methods to cluster and categorize tracks based on movement patterns.
• Simulation of cell migration: Simulation tools to model cell trajectories under different conditions.
• Support for 2D and 3D tracks: Methods applicable to both 2D and 3D cell tracking datasets.

Scientific Applications:

• Immunology — immune cell migration: Analysis of immune cell dynamics from time-lapse microscopy to investigate cell behavior.
• General moving-object studies: Quantitative analysis and modeling of trajectories in other biological and non-biological moving-object datasets.

Methodology:

Computational steps explicitly include data import and management, quality control to address biases and imaging artifacts, extraction of migration statistics, clustering of tracks, visualization, and simulation of cell migration for 2D and 3D trajectories.