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Improved method for the quantification of motility in glia and other morphologically complex cells
Mari Sild1, Robert P Chatelain2, Edward S Ruthazer3
1Montreal Neurological Institute, 3801 University Street, McGill University Montreal, QC, Canada H3A 2B4 ; Department of Psychiatry, McGill University, Canada.
Neural Plasticity
|December 19, 2013
Summary
Quantifying cell motility in complex cells like astrocytes is challenging. This study introduces a new motility index using image analysis to measure structural changes, simplifying the process for dynamic cell morphologies.
Area of Science:
- Cell Biology
- Neuroscience
- Image Analysis
Background:
- Quantifying structural motility in cells with complex morphologies, such as astrocytes and radial glia, presents significant challenges.
- Traditional methods struggle with the densely ramified and fine processes characteristic of these cells.
Purpose of the Study:
- To develop a novel method for calculating a motility index to quantify structural motility in individual cells with complex, dynamic morphologies.
- To provide a reliable measure that correlates with cell process elongation and retraction rates without complex 3D reconstructions.
Main Methods:
- The method involves boxcar averaging of difference images derived from consecutive time-point image subtractions.
- Preprocessing includes 2D projection, edge detection, and dilation for image binarization.
- Image denoising using temporal frequency power spectra enhances sensitivity by reducing artifactual fluctuations.
Main Results:
- The developed motility index effectively quantifies structural changes in complex cells.
- The index correlates with mean process elongation and retraction rates.
- The method is robust against artifactual pixel fluctuations, focusing on biologically relevant movements.
Conclusions:
- This novel motility index offers a simplified and sensitive approach to quantifying cell motility in challenging cell types.
- The publicly available MATLAB programs facilitate broader application in cell biology research.
- The method enhances the study of dynamic cellular processes in neuroscience and related fields.
