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Bioengineering
Article . 2023 . Peer-reviewed
License: CC BY
Data sources: Crossref
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PubMed Central
Other literature type . 2023
License: CC BY
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Bioengineering
Article . 2023
Data sources: DOAJ
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3D Bioprinting for Vascularization

Authors: Amatullah Mir; Eugenia Lee; Wesley Shih; Sarah Koljaka; Anya Wang; Caitlin Jorgensen; Riley Hurr; +3 Authors

3D Bioprinting for Vascularization

Abstract

In the world of clinic treatments, 3D-printed tissue constructs have emerged as a less invasive treatment method for various ailments. Printing processes, scaffold and scaffold free materials, cells used, and imaging for analysis are all factors that must be observed in order to develop successful 3D tissue constructs for clinical applications. However, current research in 3D bioprinting model development lacks diverse methods of successful vascularization as a result of issues with scaling, size, and variations in printing method. This study analyzes the methods of printing, bioinks used, and analysis techniques in 3D bioprinting for vascularization. These methods are discussed and evaluated to determine the most optimal strategies of 3D bioprinting for successful vascularization. Integrating stem and endothelial cells in prints, selecting the type of bioink according to its physical properties, and choosing a printing method according to physical properties of the desired printed tissue are steps that will aid in the successful development of a bioprinted tissue and its vascularization.

Country
United States
Keywords

3D model, Technology, Cardiovascular Surgery, vasculature, bioinks, biomanufacturing, QH301-705.5, T, spheroids, 3D printing, Review, biomechanics, 3D modeling, 3D tissues, vascularization, stem cells, tissue engineering, scaffolds, Advocate Pediatric Cardiology Faculty - Oak Lawn, Biology (General), bioprinting

  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    32
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 1%
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
32
Top 10%
Average
Top 1%
Green
gold