原位可打印性图(IPM):一种用于挤压生物打印的原位可打印性评估新方法

Q1 Computer Science Bioprinting Pub Date : 2023-11-10 DOI:10.1016/j.bprint.2023.e00320
Giovanni Zanderigo , Filippo Bracco , Quirico Semeraro, Bianca Maria Colosimo
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引用次数: 0

摘要

3D生物打印是一个新兴的领域,有许多非常有价值的应用。最常见和通用的技术是基于挤压的生物打印,当需要考虑新的生物墨水或复杂的几何结构时,需要大量的实验活动来达到生物打印结构的适当质量。本文提出了一种新的方法,可以方便地指导操作人员和科学家在一个确定的工艺参数窗口内评估生物打印成功的可能性,从一个小的实验活动开始,依靠原位质量数据。提出的方法包括基于概率方法定义可印刷性映射。这些图考虑到标称几何形状的指定可接受偏差来评估打印结果,标称几何形状由最终用户根据手头的应用程序预先定义。即使参考基于挤压的生物打印,所提出的方法也可以用于任何其他生物打印工艺和任何质量指标,包括分类评估分类。最后,论文展示了如何结合不同的质量标准(例如,生产力,细胞活力)来定义适当的设置,这取决于手头的应用程序。此外,该地图为快速材料印刷性评估和稳健的工艺优化提供了实用的工具。它提供了过程域、可接受的区域边界及其对变化和不确定性的弹性的增强的可视化表示。最终,原位可打印性图代表了生物打印向数字化转型的进一步飞跃,旨在提高生物打印过程的可控性和可扩展性。
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In-situ Printability Maps (IPM): A new approach for in-situ printability assessment with application to extrusion-based bioprinting

3D Bioprinting is an emerging field with many highly valuable applications. The most common and versatile technology is extrusion-based bioprinting, which requires extensive experimental campaigns to achieve appropriate quality of the bioprinted constructs when new bioinks or complex geometrical constructs need to be considered. This paper presents a new approach to easily guide operators and scientists to evaluate the probability of successful bioprinting in a defined window of the process parameters, starting from a small experimental campaign and relying on in-situ quality data. The proposed method consists of defining printability maps based on a probabilistic approach. These maps assess the printing outcome considering a specified acceptable deviation from the nominal geometry, which is predefined by the end-user depending on the application at hand. Even if shown with reference to extrusion-based bioprinting, the proposed method can be used with any other bioprinting process and any quality index, including categorical assessment classification. Eventually, the paper shows how the map can be combined with different quality criteria (e.g., productivity, cell viability) to define the appropriate setting, depending on the application at hand. Furthermore, the map provides a practical tool for rapid material printability assessment and robust process optimization. It offers an enhanced visual representation of the process domain, acceptable region boundaries, and their resilience to variation and uncertainties. Eventually, in-situ printability maps represent a further leap for the advancement of bioprinting toward the digital transformation, aiming at increasing the controllability and scalability of the bioprinting process.

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来源期刊
Bioprinting
Bioprinting Computer Science-Computer Science Applications
CiteScore
11.50
自引率
0.00%
发文量
72
审稿时长
68 days
期刊介绍: Bioprinting is a broad-spectrum, multidisciplinary journal that covers all aspects of 3D fabrication technology involving biological tissues, organs and cells for medical and biotechnology applications. Topics covered include nanomaterials, biomaterials, scaffolds, 3D printing technology, imaging and CAD/CAM software and hardware, post-printing bioreactor maturation, cell and biological factor patterning, biofabrication, tissue engineering and other applications of 3D bioprinting technology. Bioprinting publishes research reports describing novel results with high clinical significance in all areas of 3D bioprinting research. Bioprinting issues contain a wide variety of review and analysis articles covering topics relevant to 3D bioprinting ranging from basic biological, material and technical advances to pre-clinical and clinical applications of 3D bioprinting.
期刊最新文献
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