MotilA

MotilA quantifies microglial fine process motility from 3D time-lapse fluorescence microscopy data through image preprocessing, segmentation, and pixel-based change detection.

Key Features:

• 3D Time-Lapse Analysis: Processes 3D time-lapse two-channel fluorescence microscopy data for dynamic morphological analysis.
• Single-File and Batch Processing: Enables processing of individual files or batch processing across multiple experimental conditions.
• Pixel-Based Change Detection: Implements a pixel-based change detection strategy for motility quantification over time.
• Biologically Interpretable Metrics: Yields metrics such as the turnover rate (TOR) of microglial fine processes.
• Extensibility: Can be extended to other cell types and imaging applications requiring analysis of dynamic morphological changes.

Scientific Applications:

• Microglial Process Motility: Quantifies fine process motility of microglia from high-resolution multiphoton in vivo imaging datasets.
• Dynamic Morphological Analysis: Supports analysis of dynamic morphological changes in various cell types beyond microglia.

Methodology:

MotilA performs image preprocessing, segmentation, and motility quantification over time using a pixel-based change detection strategy.