The DOI matches its Crossref record; 239 of the 239 references it cites were found in a registry or an index.
A review on fabricating tissue scaffolds using vat photopolymerization
Abstract
Vat Photopolymerization (stereolithography, SLA), an Additive Manufacturing (AM) or 3D printing technology, holds particular promise for the fabrication of tissue scaffolds for use in regenerative medicine. Unlike traditional tissue scaffold fabrication techniques, SLA is capable of fabricating designed scaffolds through the selective photopolymerization of a photopolymer resin on the micron scale. SLA offers unprecedented control over scaffold porosity and permeability, as well as pore size, shape, and interconnectivity. Perhaps even more significantly, SLA can be used to fabricate vascular networks that may encourage angio and vasculogenesis. Fulfilling this potential requires the development of new photopolymers, the incorporation of biochemical factors into printed scaffolds, and an understanding of the effects scaffold geometry have on cell viability, proliferation, and differentiation. This review compares SLA to other scaffold fabrication techniques, highlights significant advances in the field, and offers a perspective on the field's challenges and future directions. STATEMENT OF SIGNIFICANCE Engineering de novo tissues continues to be challenging due, in part, to our inability to fabricate complex tissue scaffolds that can support cell proliferation and encourage the formation of developed tissue. The goal of this review is to first introduce the reader to traditional and Additive Manufacturing scaffold fabrication techniques. The bulk of this review will then focus on apprising the reader of current research and provide a perspective on the promising use of vat photopolymerization (stereolithography, SLA) for the fabrication of complex tissue scaffolds.
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Cited by
Arif, Z. U., Khalid, M. Y., Noroozi, R., Sadeghianmaryan, A., Jalalvand, M., & Hossain, M. (2022) · International Journal of Biological Macromolecules · doi:10.1016/j.ijbiomac.2022.07.140 · Cited by 395
Research and application of machine learning for additive manufacturing
Qin, J., Hu, F., Liu, Y., Witherell, P., Wang, C. C. L., Rosen, D. W., Simpson, T. W., Lu, Y., & Tang, Q. (2022) · Additive Manufacturing · doi:10.1016/j.addma.2022.102691 · Cited by 391
Zhou, S., Liu, G., Wang, C., Zhang, Y., Yan, C., & Shi, Y. (2024) · Materials & Design · doi:10.1016/j.matdes.2024.112632 · Cited by 150
In Vitro Strategies to Vascularize 3D Physiologically Relevant Models
Dellaquila, A., Le Bao, C., Letourneur, D., & Simon‐Yarza, T. (2021) · Advanced Science · doi:10.1002/advs.202100798 · Cited by 115
Metadata
- Authors
- Chartrain, N. A., Williams, C. B., & Whittington, A. R.
- Venue
- Acta Biomaterialia
- Publisher
- Elsevier BV
- Published
- 2018-07
- Volume
- 74
- Pages
- 90-111
- ISSN
- 1742-7061 (ISSN-L)
- OpenAlex
- W2800099205
- Cited by
- 253
- References
- 239
- FWCI
- 8.31
- Type
- journal article
- Language
- en
- Open access
- closed
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