Structured Data Storage for Data-Driven Process Optimisation in Bioprinting

Abstract

Bioprinting is a method to fabricate 3D models that mimic tissue. Future fields of application might be in pharmaceutical or medical context. As the number of applicants might vary between only one patient to manufacturing tissue for high-throughput drug screening, designing a process will necessitate a high degree of flexibility, robustness, as well as comprehensive monitoring. To enable quality by design process optimisation for future application, establishing systematic data storage routines suitable for automated analytical tools is highly desirable as a first step. This manuscript introduces a workflow for process design, documentation within an electronic lab notebook and monitoring to supervise the product quality over time or at different locations. Lab notes, analytical data and corresponding metadata are stored in a systematic hierarchy within the research data infrastructure Kadi4Mat, which allows for continuous, flexible data structuring and access management. To support the experimental and analytical workflow, additional features were implemented to enhance and build upon the functionality provided by Kadi4Mat, including browser-based file previews and a Python tool for the combined filtering and extraction of data. The structured research data management with Kadi4Mat enables retrospective data grouping and usage by process analytical technology tools connecting individual analysis software to machine-readable data exchange formats.

On the reproducibility of extrusion-based bioprinting: round robin study on standardization in the field

“…Therefore, a target width of 1 mm should be met. Once a parameter was set, it should not be changed over the complete series of printing experiments.Moreover, a standardized record was filled by each participating laboratory for documentation [3]. After the printing process, the well plates containing the six objects of a single structure were imaged externally.…”

“…Imaging settings including lighting and exposure time were standardized and could not be modified by the operator. Printing records and acquired images were uploaded in the central database [3].…”

“…This systematic data storage was not only used for the purpose referred to, it simultaneously fulfilled the function of an electronic lab notebook and proved to be important to the development toward digital laboratory. The detailed use of the Kadi4Mat database used in this study is described by Schmieg et al [3]. After completing the experimental part in the laboratories, the analysis of the images of printed structures was divided into two parts.…”

“…This said, the use of interlaboratory data bases as advocated by the research community is still in its infancy. In this regard, there have been advances in the field of bioprinting, where the Kadi4Mat infrastructure was used for process design, documentation, data storage, and exchange [3]. Looking at other related research areas such as tissue engineering, the International Organization for Standardization (ISO) has already constituted a technical committee (TC) for tissueengineering of medical products, i.e.…”