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In situ defect detection and feedback control with three-dimensional extrusion-based bioprinter-associated optical coherence tomography

Extrusion-based three-dimensional (3D) bioprinting is one of the most common methods used for tissue fabrication and is the most widely used additive manufacturing technique in all industries. In extrusion-based bioprinting, printing defects related to material deposition errors lead to a significan...

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Detalles Bibliográficos
Autores principales: Yang, Shanshan, Chen, Qi, Wang, Ling, Xu, Mingen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Whioce Publishing Pte. Ltd. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9830991/
https://www.ncbi.nlm.nih.gov/pubmed/36636135
http://dx.doi.org/10.18063/ijb.v9i1.624
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author Yang, Shanshan
Chen, Qi
Wang, Ling
Xu, Mingen
author_facet Yang, Shanshan
Chen, Qi
Wang, Ling
Xu, Mingen
author_sort Yang, Shanshan
collection PubMed
description Extrusion-based three-dimensional (3D) bioprinting is one of the most common methods used for tissue fabrication and is the most widely used additive manufacturing technique in all industries. In extrusion-based bioprinting, printing defects related to material deposition errors lead to a significant deviation from shape to function between the printed construct and design model. Using 3D extrusion-based bioprinter-associated optical coherence tomography (3D P-OCT), an in situ defect detection and feedback system was presented based on the accurate defect analysis and location, and a pre-built feedback mechanism. Using 3D P-OCT, multi-parameter quantification of the material deposition was carried out in real time, including the filament size, layer thickness, and layer fidelity. The material deposition errors under different paths were quantified and located specifically, including the start-stop points, straight-line path, and turnarounds. The pre-built feedback mechanism involving the control inputs, such as printing path, pressure, and velocity, provided the basis for in situ defect detection and real-time feedback control. In particular, the second printing repair can be performed after the broken filament defect is detected and located. After printing, fidelity can be quantitatively analyzed based on the point cloud registration between the 3D P-OCT result and the design model. In conclusion, 3D P-OCT enables in situ defect detection and feedback control, broken filament repair, and 3D fidelity analysis to achieve high-fidelity printing from shape to function.
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spelling pubmed-98309912023-01-11 In situ defect detection and feedback control with three-dimensional extrusion-based bioprinter-associated optical coherence tomography Yang, Shanshan Chen, Qi Wang, Ling Xu, Mingen Int J Bioprint Research Article Extrusion-based three-dimensional (3D) bioprinting is one of the most common methods used for tissue fabrication and is the most widely used additive manufacturing technique in all industries. In extrusion-based bioprinting, printing defects related to material deposition errors lead to a significant deviation from shape to function between the printed construct and design model. Using 3D extrusion-based bioprinter-associated optical coherence tomography (3D P-OCT), an in situ defect detection and feedback system was presented based on the accurate defect analysis and location, and a pre-built feedback mechanism. Using 3D P-OCT, multi-parameter quantification of the material deposition was carried out in real time, including the filament size, layer thickness, and layer fidelity. The material deposition errors under different paths were quantified and located specifically, including the start-stop points, straight-line path, and turnarounds. The pre-built feedback mechanism involving the control inputs, such as printing path, pressure, and velocity, provided the basis for in situ defect detection and real-time feedback control. In particular, the second printing repair can be performed after the broken filament defect is detected and located. After printing, fidelity can be quantitatively analyzed based on the point cloud registration between the 3D P-OCT result and the design model. In conclusion, 3D P-OCT enables in situ defect detection and feedback control, broken filament repair, and 3D fidelity analysis to achieve high-fidelity printing from shape to function. Whioce Publishing Pte. Ltd. 2022-10-27 /pmc/articles/PMC9830991/ /pubmed/36636135 http://dx.doi.org/10.18063/ijb.v9i1.624 Text en Copyright: © 2022 Author(s). https://creativecommons.org/licenses/by-nc/4.0/This is an Open-Access article distributed under the terms of the Creative Commons Attribution-Noncommercial License, permitting all noncommercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Yang, Shanshan
Chen, Qi
Wang, Ling
Xu, Mingen
In situ defect detection and feedback control with three-dimensional extrusion-based bioprinter-associated optical coherence tomography
title In situ defect detection and feedback control with three-dimensional extrusion-based bioprinter-associated optical coherence tomography
title_full In situ defect detection and feedback control with three-dimensional extrusion-based bioprinter-associated optical coherence tomography
title_fullStr In situ defect detection and feedback control with three-dimensional extrusion-based bioprinter-associated optical coherence tomography
title_full_unstemmed In situ defect detection and feedback control with three-dimensional extrusion-based bioprinter-associated optical coherence tomography
title_short In situ defect detection and feedback control with three-dimensional extrusion-based bioprinter-associated optical coherence tomography
title_sort in situ defect detection and feedback control with three-dimensional extrusion-based bioprinter-associated optical coherence tomography
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9830991/
https://www.ncbi.nlm.nih.gov/pubmed/36636135
http://dx.doi.org/10.18063/ijb.v9i1.624
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