The DOI matches its Crossref record; 9 of the 9 references it cites were found in a registry or an index.
Light-assisted direct-write of 3D functional biomaterials
Open accessAbstract
Light-assisted 3D direct-printing of biomaterials and cellular-scaffolds has the potential to develop novel lab-on-a-chip devices (LOCs) for a variety of biomedical applications, from drug discovery and diagnostic testing to in vitro tissue engineering and regeneration. Direct-writing describes a broad family of fabrication methods that typically employ computer-controlled translational stages to manufacture structures at multi-length scales. This review focuses on light-assisted direct-write fabrication for generating 3D functional scaffolds with precise micro- and nano-architecture, using both synthetic as well as naturally derived biomaterials. Two bioprinting approaches are discussed in detail - projection printing and laser-based systems - where each method is capable of modulating multiple scaffold parameters, such as 3D architecture, mechanical properties (e.g. stiffness), Poisson's ratio, chemical gradients, biological cell distributions, and porosity. The light-assisted direct-writing techniques described in this review provide the reader with alternative approaches to fabricate 3D biomaterials for utility in LOCs.
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Cited by
Progress in 3D bioprinting technology for tissue/organ regenerative engineering
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Metadata
- Authors
- Hribar, K. C., Soman, P., Warner, J., Chung, P., & Chen, S.
- Venue
- Lab Chip
- Publisher
- Royal Society of Chemistry (RSC)
- Published
- 2014
- Volume
- 14
- Issue
- 2
- Pages
- 268-275
- ISSN
- 1473-0189 (ISSN-L)
- 1473-0197
- OpenAlex
- W1988343344
- Cited by
- 231
- References
- 9
- FWCI
- 7.79
- Type
- journal article
- Language
- en
- Open access
- hybrid
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- Hribar, K. C., Soman, P., Warner, J., Chung, P., & Chen, S. (2014). Light-assisted direct-write of 3D functional biomaterials. Lab Chip. https://doi.org/10.1039/c3lc50634g
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
