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Publisher DOI: 10.3390/pr9030447
Title: Digital twins for tissue culture techniques : concepts, expectations, and state of the art
Language: English
Authors: Möller, Johannes 
Pörtner, Ralf  
Keywords: digital twin;tissue engineering;3D culture;organ-on-a-chip;mathematical model
Issue Date: 2-Mar-2021
Publisher: Multidisciplinary Digital Publishing Institute
Source: Processes 9 (3): 447 (2021)
Journal or Series Name: Processes 
Abstract (english): 
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.
DOI: 10.15480/882.3387
ISSN: 2227-9717
Other Identifiers: doi: 10.3390/pr9030447
Institute: Bioprozess- und Biosystemtechnik V-1 
Document Type: Article
More Funding information: Publishing fees supported by Funding Programme *Open Access Publishing* of Hamburg University of Technology (TUHH).
License: CC BY 4.0 (Attribution) CC BY 4.0 (Attribution)
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