Kymolyzer, a Semi-Autonomous Kymography Tool to Analyze Intracellular Motility.

Area of Science:

• Cell Biology
• Neuroscience
• Biophysics

Background:

• Intracellular cargo transport is crucial for cell function, especially in neurons.
• Defects in intracellular trafficking are linked to neurodegenerative and neurodevelopmental disorders.
• Accurate quantification of intracellular transport is essential for research and therapeutic development.

Purpose of the Study:

• Introduce Kymolyzer, a novel algorithm for quantifying intracellular trafficking.
• Provide a user manual for Kymolyzer, detailing its design and application.
• Demonstrate Kymolyzer's utility in analyzing cargo movement along defined cellular paths.

Main Methods:

• Kymolyzer is a semi-autonomous kymography software application.
• It constructs and analyzes kymographs to measure movement and distribution of fluorescently tagged objects.
• The algorithm quantifies intracellular trafficking along user-defined paths, such as neuronal axons and dendrites.

Main Results:

• Kymolyzer extracts diverse motility parameters, including time in motion, percentage of motile/stationary objects, and velocities.
• The algorithm is versatile and applicable under various experimental conditions.
• Kymolyzer enables accurate measurement of intracellular transport dynamics.

Conclusions:

• Kymolyzer offers a robust tool for analyzing intracellular motility.
• This software aids in studying cargo trafficking mechanisms, mutation effects, and pharmaceutical impacts.
• Kymolyzer facilitates research into cellular transport and related neurological disorders.