3DMorph

3DMorph performs automated three-dimensional morphological analysis of microglial cells from volumetric imaging data to quantify structural characteristics of branching cellular networks.

Key Features:

• Automated 3D Morphological Quantification: Computes morphological parameters including cell volume, territorial volume, branch length, number of endpoints, and branch points from three-dimensional imaging data.
• Skeleton-Based Structural Analysis: Applies skeletonization methods to analyze branching structures and quantify microglial process architecture.
• Batch Processing Capability: Processes multiple volumetric datasets automatically after initialization of parameters such as threshold levels and expected cell size.
• Spatial Distribution Metrics: Calculates measurements such as average distance between cells to characterize spatial organization.

Scientific Applications:

• Microglial Morphology Studies: Enables quantitative analysis of microglial structural changes in neuroscience research.
• Neuroinflammation and Neurodegeneration Research: Supports investigation of microglial morphological alterations associated with disease states.
• 3D Cellular Morphology Analysis: Facilitates structural analysis of branching cell types from volumetric biological imaging data.

Methodology:

The method processes three-dimensional imaging datasets using parameter-defined thresholding and skeletonization to extract cellular structures and compute morphological metrics such as branch length, endpoints, branch points, and volumetric measurements.