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Virtual Reality as Tool for Bioprinting Quality Inspection: A Proof of Principle

Gretzinger, Sarah 1,2; Schmieg, Barbara 1,2; Guthausen, Gisela 3,4; Hubbuch, Jürgen ORCID iD icon 1,2
1 Institut für Funktionelle Grenzflächen (IFG), Karlsruher Institut für Technologie (KIT)
2 Institut für Bio- und Lebensmitteltechnik (BLT), Karlsruher Institut für Technologie (KIT)
3 Engler-Bunte-Institut (EBI), Karlsruher Institut für Technologie (KIT)
4 Institut für Mechanische Verfahrenstechnik und Mechanik (MVM), Karlsruher Institut für Technologie (KIT)

Abstract:

As virtual reality (VR) has drastically evolved over the past few years, the field of applications of VR flourished way beyond the gaming industry. While commercial VR solutions might be available, there is a need to develop a workflow for specific applications. Bioprinting represents such an example. Here, complex 3D data is generated and needs to be visualized in the context of quality control. We demonstrate that the transfer to a commercially available VR software is possible by introducing an optimized workflow. In the present work, we developed a workflow for the visualization of the critical quality attribute (cQA) cell distribution in bioprinted (extrusion-based) samples in VR. The cQA cell distribution is directly influenced by the pre-processing step mixing of cell material in the bioink. Magnetic Resonance Imaging (MRI) was used as an analytical tool to generate spatially resolved 2.5 and 3D data of the bioprinted objects. A sample with poor quality in respect of the cQA cell distribution was identified as its inhomogeneous cell distribution could be displayed spatially resolved in VR. The described workflow facilitates the usage of VR as a tool for quality inspection in the field of bioprinting and represents a powerful tool for visualization of complex 3D MRI data.


Verlagsausgabe §
DOI: 10.5445/IR/1000149061
Veröffentlicht am 27.07.2022
Originalveröffentlichung
DOI: 10.3389/fbioe.2022.895842
Scopus
Zitationen: 2
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Zitationen: 1
Cover der Publikation
Zugehörige Institution(en) am KIT Engler-Bunte-Institut (EBI)
Institut für Bio- und Lebensmitteltechnik (BLT)
Institut für Funktionelle Grenzflächen (IFG)
Institut für Mechanische Verfahrenstechnik und Mechanik (MVM)
Publikationstyp Zeitschriftenaufsatz
Publikationsjahr 2022
Sprache Englisch
Identifikator ISSN: 2296-4185
KITopen-ID: 1000149061
HGF-Programm 43.33.11 (POF IV, LK 01) Adaptive and Bioinstructive Materials Systems
Erschienen in Frontiers in Bioengineering and Biotechnology
Verlag Frontiers Media SA
Band 10
Seiten Art.-Nr.: 895842
Bemerkung zur Veröffentlichung Gefördert durch den KIT-Publikationsfonds
Vorab online veröffentlicht am 09.06.2022
Nachgewiesen in Web of Science
Scopus
Dimensions
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