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Digital twins for tissue culture techniques : concepts, expectations, and state of the art
Citation Link: https://doi.org/10.15480/882.3387
Publikationstyp
Journal Article
Date Issued
2021-03
Sprache
English
Author(s)
Pörtner, Ralf
Institut
TORE-DOI
TORE-URI
Journal
Volume
9
Issue
3
Article Number
447
Citation
Processes 9 (3): 447 (2021-03)
Publisher DOI
Scopus ID
Publisher
Multidisciplinary Digital Publishing Institute
Techniques to provide in vitro tissue culture have undergone significant changes during the last decades, and current applications involve interactions of cells and organoids, three-dimensional cell co-cultures, and organ/body-on-chip tools. Efficient computer-aided and mathematical model-based methods are required for efficient and knowledge-driven characterization, optimization, and routine manufacturing of tissue culture systems. As an alternative to purely experimental-driven research, the usage of comprehensive mathematical models as a virtual in silico representation of the tissue culture, namely a digital twin, can be advantageous. Digital twins include the mechanistic of the biological system in the form of diverse mathematical models, which describe the interaction between tissue culture techniques and cell growth, metabolism, and the quality of the tissue. In this review, current concepts, expectations, and the state of the art of digital twins for tissue culture concepts will be highlighted. In general, DT’s can be applied along the full process chain and along the product life cycle. Due to the complexity, the focus of this review will be especially on the design, characterization, and operation of the tissue culture techniques.
Subjects
digital twin
tissue engineering
3D culture
organ-on-a-chip
mathematical model
DDC Class
570: Biowissenschaften, Biologie
600: Technik
620: Ingenieurwissenschaften
More Funding Information
Publishing fees supported by Funding Programme *Open Access Publishing* of Hamburg University of Technology (TUHH).
Publication version
publishedVersion
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