High-throughput segmentation, data visualization, and analysis of sea star skeletal networks.

Area of Science:

• Marine Biology
• Echinoderm Research
• Skeletal Biology

Background:

• Sea star skeletal systems are complex, composed of numerous ossicles.
• The spatial organization of ossicles in whole sea stars remains largely unexplored due to laborious mapping processes.
• Understanding skeletal structure-function relationships is crucial for echinoderm research.

Purpose of the Study:

• To develop and demonstrate an integrated, high-throughput workflow for analyzing sea star skeletal systems.
• To map the three-dimensional skeletal architecture of Pisaster giganteus at different growth stages.
• To investigate skeletal maturation and the relationship between ossicle morphology and organization.

Main Methods:

• Combined micro-computed tomography (micro-CT) for skeletal imaging.
• Automated ossicle segmentation for data processing.
• Data visualization tools and 3D printing for tangible models and analysis.

Main Results:

• Successfully segmented and analyzed entire skeletal systems of Pisaster giganteus across four growth stages.
• Provided fundamental insights into the 3D skeletal architecture of the sea star body wall.
• Detailed the process of skeletal maturation and its correlation with ossicle morphology.

Conclusions:

• The developed workflow enables rapid and intuitive analysis of complex sea star skeletal data.
• This approach offers a powerful tool for understanding asteroid skeletal architecture, biodiversity, and evolution.
• Potential applications include studying mobility, feeding, and environmental adaptations in echinoderms.