4DRoot

4DRoot models root system architecture from 4D X-ray Computed Tomography (CT) data to extract quantitative spatial and temporal traits for plant phenotyping and carbon sequestration studies.

Key Features:

• High-Throughput Phenotyping: Processes large sequential X-ray CT datasets to enable analysis of complex root traits across samples and time points.
• Cylindrical Fitting Methodology: Employs a cylindrical fitting approach to model roots as cylindrical structures and automatically extract architectural parameters.
• Temporal Analysis Capabilities: Captures dynamic root growth patterns by analyzing sequential (temporal) X-ray CT scans in 3D over time.
• Objective Trait Extraction: Quantifies phenotypic traits related to root distribution, hierarchical structure, and carbon sequestration.
• MATLAB Implementation: Implemented in MATLAB for computational processing and analysis of 3D/4D CT root data.

Scientific Applications:

• Plant Breeding: Quantifies complex root traits to support selection of genotypes with improved nutrient uptake, drought resistance, or resource-use efficiency.
• Root Biology Research: Enables study of root architecture, distribution, and hierarchical structure to investigate developmental processes and root function.
• Environmental Impact Studies: Analyzes root traits related to carbon storage to support research on plant contributions to carbon sequestration and ecosystem services.

Methodology:

Processes sequential X-ray CT scans and fits cylindrical models to roots in 3D over time to extract architectural traits such as distribution and hierarchical structure; implemented in MATLAB.