scafSLICR
scafSLICR designs heterogeneous porous 3D-printed scaffolds with controlled microarchitecture for tissue engineering applications.
Key Features:
- Precise Microarchitecture Control: Specifies pore size, porosity, and filament arrangement to control scaffold microarchitecture.
- Spatially Patterned Pore Properties: Encodes spatial gradients and patterned pore properties across scaffold volumes for heterogeneous designs.
- Maintained Network Connectivity: Preserves open, connected pore networks across transitions while maintaining structural continuity.
- MATLAB-Based Algorithm and GCODE Output: Implements a MATLAB algorithm and exports GCODE files for 3D printing.
- Integration into Large Anatomical Shapes: Maps patterned porous designs into large anatomic geometries for patient-specific constructs.
- Versatility in Material Use (ABS): Demonstrated with acrylonitrile butadiene styrene (ABS) and applicable to various 3D-printing materials.
Scientific Applications:
- Craniofacial Bone Scaffold Fabrication: Applied to fabrication of craniofacial bone scaffolds with spatially varied porosity.
- Patient-Specific Construct Design: Enables creation of patient-specific anatomical scaffolds integrating heterogeneous pore architectures.
- Guiding Cell Behavior via Microarchitecture: Produces microarchitectural cues (pore size and porosity patterns) to influence cell behavior.
Methodology:
Designs are generated in MATLAB and exported as GCODE files encoding pore size, porosity, and arrangement for 3D printing.
Topics
Details
- Programming Languages:
- MATLAB
- Added:
- 1/14/2020
- Last Updated:
- 12/17/2020
Operations
Publications
Nyberg E, O’Sullivan A, Grayson W. scafSLICR: A MATLAB-based slicing algorithm to enable 3D-printing of tissue engineering scaffolds with heterogeneous porous microarchitecture. PLOS ONE. 2019;14(11):e0225007. doi:10.1371/journal.pone.0225007. PMID:31743350. PMCID:PMC6863524.