KymoAnalyzer

KymoAnalyzer analyzes axonal transport dynamics from time-lapse live-imaging sequences by quantifying particle trajectories and motor-based cargo movement to support investigation of kinesin- and dynein-mediated transport.

Key Features:

• Automatic trajectory classification: Automatically classifies particle trajectories derived from time-lapse imaging kymographs.
• Quantitative parameter extraction: Systematically calculates transport parameters including velocities, run lengths, and pauses.
• Kymograph generation: Processes time-lapse live-imaging data to generate comprehensive kymographs representing particle trajectories over time.
• Transport dynamics identification: Identifies and quantifies various transport dynamics from kymograph data.
• Motor-based transport analysis framework: Provides a computational framework for analyzing motor-based cargo movement driven by kinesins and dyneins.

Scientific Applications:

• Molecular motor coordination: Analyze the coordinated activity of molecular motors such as kinesins and dyneins.
• Cargo localization in axons: Characterize localization and movement of proteins, vesicles, organelles, and other cargoes within axons.
• Neurodegenerative disease research: Investigate impairments in axonal transport implicated in Alzheimer's disease and Huntington's disease.

Methodology:

Processes time-lapse live-imaging data to generate kymographs, automatically classifies particle trajectories, systematically calculates velocities, run lengths, and pauses, and analyzes kymographs to identify and quantify transport dynamics.