Non-destructive quantitative 3D analysis for the optimisation of tissue scaffolds

Area of Science:

• Biomaterials Science
• Tissue Engineering
• Medical Imaging

Background:

• Porous scaffolds are essential 3D supports in tissue engineering for cell growth.
• Quantifying scaffold pore size and interconnectivity is critical for optimal design.
• X-ray micro-computed tomography (microCT) provides 3D imaging but lacks quantitative pore analysis.

Purpose of the Study:

• To develop and validate methods for quantitative analysis of pore size distributions and interconnects in porous scaffolds using microCT.
• To assess the suitability of sol-gel derived bioactive glass scaffolds for bone tissue engineering.
• To enable predictions of scaffold permeability for optimizing bioreactor conditions.

Main Methods:

• Development of 3D algorithms for pore and interconnect identification from microCT data.
• Foaming sol-gel derived bioactive glasses to create scaffolds with varying pore structures.
• Validation of microCT-derived pore size distributions against mercury intrusion porosimetry and manual analysis.

Main Results:

• Successful quantification of macropore and interconnect size distributions using microCT-based algorithms.
• Bioactive glass scaffolds demonstrated potential for bone tissue engineering applications.
• Meshed microCT data allowed for permeability predictions, useful for bioreactor optimization.

Conclusions:

• The developed microCT methods provide accurate, quantitative 3D analysis of scaffold pore networks.
• These techniques are valuable for optimizing scaffold design and bioreactor conditions in tissue engineering.
• The methods are transferable to various scaffold types beyond bioactive glasses.