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. 2019 Nov 19;14(11):e0225007.
doi: 10.1371/journal.pone.0225007. eCollection 2019.

scafSLICR: A MATLAB-based slicing algorithm to enable 3D-printing of tissue engineering scaffolds with heterogeneous porous microarchitecture

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scafSLICR: A MATLAB-based slicing algorithm to enable 3D-printing of tissue engineering scaffolds with heterogeneous porous microarchitecture

Ethan Nyberg et al. PLoS One. .

Abstract

3D-printing is a powerful manufacturing tool that can create precise microscale architectures across macroscale geometries. Within biomedical research, 3D-printing of various materials has been used to fabricate rigid scaffolds for cell and tissue engineering constructs with precise microarchitecture to direct cell behavior and macroscale geometry provides patient specificity. While 3D-printing hardware has become low-cost due to modeling and rapid prototyping applications, there is no common paradigm or platform for the controlled design and manufacture of 3D-printed constructs for tissue engineering. Specifically, controlling the tissue engineering features of pore size, porosity, and pore arrangement is difficult using currently available software. We have developed a MATLAB approach termed scafSLICR to design and manufacture tissue-engineered scaffolds with precise microarchitecture and with simple options to enable spatially patterned pore properties. Using scafSLICR, we designed, manufactured, and characterized porous scaffolds in acrylonitrile butadiene styrene with a variety of pore sizes, porosities, and gradients. We found that transitions between different porous regions maintained an open, connected porous network without compromising mechanical integrity. Further, we demonstrated the usefulness of scafSLICR in patterning different porous designs throughout large anatomic shapes and in preparing craniofacial tissue engineering bone scaffolds. Finally, scafSLICR is distributed as open-source MATLAB scripts and as a stand-alone graphical interface.

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Conflict of interest statement

The authors have declared that no competing interests exist.

Figures

Fig 1
Fig 1. Overview of scafSLICR approach.
User inputs a labeled 3D shaped and the pore properties for each label (green boxes). The program then generates a support structure between the shape and the print bed (blue/red shape) and tool path templates for each pore pattern (blue boxes). The slicing process convolves these tool path templates with each x-y level of the shape according to the label (gray box). The result of this convolution is then translated into a set of GCODE instructions or into a predicted porous model of the shape (yellow boxes). These outputs can be manufactured on a 3D-printer or used for in silico modeling (orange boxes).
Fig 2
Fig 2. Available design space.
(A) Stereoscope pictures (1X, 5X) of scaffolds produced with scafSLICR demonstrating isometric pores. (B) Relationship of Strut Width and Porosity: Modulating the width of struts can produce a range of discrete porosities that are manufacturable at a given pore diameter for 0.5 mm nozzle.
Fig 3
Fig 3. 3D-printed scaffolds with uniform isotropic pores.
(A) Side-by-side comparison of scaffold previews (top row) and 3D-printed scaffolds (bottom row) for different patterns of pore size and porosity. (B, C) Assessments of print fidelity of pore diameter and strut width to design from top and side views. (D) Observed gravimetric porosity and expected design values. (E) Compressive modulus varies with porosity.
Fig 4
Fig 4. 3D-printed scaffolds with hybrid pore structures.
(A) 3D previews of scaffold designs featuring a more porous region and less porous region which meet at a center boundary. View is top-down onto the xy surface of the scaffold (B) Schematic showing application of force (red arrow) and alignment of scaffold on the platen (black plane) (C) Pore connectivity of transition plane: measured pore areas, number of pores, and area fraction of boundary plane that is connected pore space. Gray lines indicate median and upper and lower quartiles. (D) The compressive modulus of each transition scaffold compared to homogenous scaffolds composed of one of the pore diameter-porosity combinations found in the transition scaffold.
Fig 5
Fig 5. 3D-printed scaffolds with heterogeneous pore structures.
Pictures of cross-sections of 2 × 2 × 2 cm3 ABS scaffolds (left) and design (right). (A) Graded in z. (B) Graded in xy. (C) Graded in xyz.
Fig 6
Fig 6. 3D-printed anatomically shaped scaffolds with heterogeneous pore structures.
Anatomic shapes from the craniofacial skeleton were labeled with different design regions, sliced with scafSLICR, and 3D-printed. (A) Zygomatic arch patterned linearly left-to-right. (B) Hemi-mandible patterned with shells from exterior to interior. (C) Orbital midface complex patterned according to average shape thickness. Scale bar = 1cm.

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