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Digital Light Processing Bioprinting Advances for Microtissue Models

Title data

Goodarzi Hosseinabadi, Hossein ; Dogan, Elvan ; Miri, Amir K. ; Ionov, Leonid:
Digital Light Processing Bioprinting Advances for Microtissue Models.
In: ACS Biomaterials Science & Engineering. (31 March 2022) .
ISSN 2373-9878
DOI: https://doi.org/10.1021/acsbiomaterials.1c01509

Official URL: Volltext

Project information

Project financing: Alexander von Humboldt Foundation Start-up Fund from NJIT

Abstract in another language

Digital light processing (DLP) bioprinting has been widely introduced as a fast and robust biofabrication method in tissue engineering. The technique holds a great promise for creating tissue models because it can replicate the resolution and complexity of natural tissues and constructs. A DLP system projects 2D images onto layers of bioink using a digital photomask. The resolution of DLP bioprinting strongly depends on the characteristics of the projected light and the photo-cross-linking response of the bioink microenvironment. In this review, we present a summary of DLP fundamentals with a focus on bioink properties, photoinitiator selection, and light characteristics in resolution of bioprinted constructs. A simple guideline is provided for bioengineers interested in using DLP platforms and customizing technical specifications for its design. The literature review reveals the promising future of DLP bioprinting for disease modeling and biofabrication.

Further data

Item Type: Article in a journal
Refereed: No
Keywords: digital light processing; tissue engineering; bioprinter design; vascularized models
Institutions of the University: Faculties > Faculty of Engineering Science > Professor Biofabrication > Professor Biofabrication - Univ.-Prof. Dr. Leonid Ionov
Result of work at the UBT: Yes
DDC Subjects: 600 Technology, medicine, applied sciences > 620 Engineering
600 Technology, medicine, applied sciences > 660 Chemical engineering
600 Technology, medicine, applied sciences > 670 Manufacturing
Date Deposited: 01 Apr 2022 08:17
Last Modified: 01 Apr 2022 08:17
URI: https://eref.uni-bayreuth.de/id/eprint/69085