cell-motility

cell-motility analyzes cell motion paths by fitting mean square displacements to a persistent random walk model to quantify cell migration dynamics.

Key Features:

• Automated Data Processing: Automates calculations for analyzing large datasets of cell motion paths and trajectories.
• Mean Square Displacement Analysis: Implements fitting of mean square displacements to a persistent random walk model for quantitative analysis of migration patterns.
• Visualization: Visualizes original cell motion paths alongside analysis results to support interpretation of trajectory data.
• Standardized Analysis Pipeline: Provides a standardized computational workflow for consistent processing and comparison across experimental datasets.

Scientific Applications:

• Developmental Biology: Quantifies migration patterns relevant to morphogenesis and tissue formation.
• Immunology: Analyzes immune cell movement behaviors and migration dynamics.
• Oncology: Characterizes cell migration patterns relevant to cancer invasion and metastasis studies.
• Mechanistic Motility Studies: Links phenotypic changes observed under mutants or drugs to molecular components involved in motility.

Methodology:

Fits mean square displacements of individual cell motion paths to a persistent random walk model.