Gretzinger Sarah, Schmieg Barbara, Guthausen Gisela, Hubbuch Jürgen
Institute of Functional Interfaces, Karlsruhe Institute of Technology (KIT), Karlsruhe, Germany.
Institute of Engineering in Life Sciences, Section IV: Molecular Separation Engineering, Karlsruhe Institute of Technology (KIT), Karlsruhe, Germany.
Front Bioeng Biotechnol. 2022 Jun 9;10:895842. doi: 10.3389/fbioe.2022.895842. eCollection 2022.
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.
在过去几年中,虚拟现实(VR)技术取得了巨大发展,VR的应用领域也远远超越了游戏行业。尽管已有商业VR解决方案,但仍需针对特定应用开发工作流程。生物打印便是这样一个例子。在此过程中,会生成复杂的3D数据,并且需要在质量控制的背景下进行可视化处理。我们通过引入优化的工作流程,证明了将其转换为商用VR软件是可行的。在本研究中,我们开发了一种工作流程,用于在VR中可视化生物打印(基于挤出)样品中的关键质量属性(cQA)细胞分布。cQA细胞分布直接受生物墨水细胞材料预处理步骤混合的影响。磁共振成像(MRI)被用作分析工具,以生成生物打印物体的空间分辨2.5D和3D数据。一个在cQA细胞分布方面质量较差的样品被识别出来,因为其不均匀的细胞分布可以在VR中以空间分辨的方式显示。所描述的工作流程有助于将VR用作生物打印领域质量检测的工具,并代表了一种用于可视化复杂3D MRI数据的强大工具。
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