An Image-Guided Intrascaffold Cell Assembly Technique for Accurate Printing of Heterogeneous Tissue Constructs

Area of Science:

• Biomaterials Science
• Tissue Engineering
• Regenerative Medicine

Background:

• Creating thick, heterogeneous tissue constructs requires precise multicellular deposition.
• Traditional cell seeding methods struggle with deep cell penetration and distribution.
• Emerging strategies combine cell-laden segments with scaffold fabrication.

Purpose of the Study:

• To develop an image-guided technique for accurate three-dimensional (3D) intrascaffold cell assembly.
• To overcome limitations of traditional methods in cell distribution and viability.
• To enable complex multicellular arrangements within scaffolds for tissue engineering.

Main Methods:

• Prefabrication and pretreatment of scaffolds followed by image-guided cell distribution.
• Image processing (grayscale transformation, segmentation, boundary extraction) to locate scaffold macropores.
• 3D pathway planning using pore centroid data and camera calibration for cell assembly.

Main Results:

• Achieved accurate cell distribution and positioning within poly(lactic-co-glycolic acid) (PLGA) scaffolds.
• Demonstrated high cell viability (>93%) and significant cell proliferation over seven days.
• Successfully assembled complex structures including gradients and vascular networks.

Conclusions:

• The developed image-guided technique enables precise, deep, and multi-directional cell colonization within 3D scaffolds.
• This modular method enhances cell viability and distribution, applicable to various printing platforms.
• Shows significant potential for advancing tissue engineering and clinical applications through spatial cell organization.