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  4. ReBiA - Robotic Enabled Biological Automation: 3D Epithelial Tissue Production
 
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2024
Journal Article
Title

ReBiA - Robotic Enabled Biological Automation: 3D Epithelial Tissue Production

Abstract
The Food and Drug Administration's recent decision to eliminate mandatory animal testing for drug approval marks a significant shift to alternative methods. Similarly, the European Parliament is advocating for a faster transition, reflecting public preference for animal‐free research practices. In vitro tissue models are increasingly recognized as valuable tools for regulatory assessments before clinical trials, in line with the 3R principles (Replace, Reduce, Refine). Despite their potential, barriers such as the need for standardization, availability, and cost hinder their widespread adoption. To address these challenges, the Robotic Enabled Biological Automation (ReBiA) system is developed. This system uses a dual‐arm robot capable of standardizing laboratory processes within a closed automated environment, translating manual processes into automated ones. This reduces the need for process‐specific developments, making in vitro tissue models more consistent and cost‐effective. ReBiA's performance is demonstrated through producing human reconstructed epidermis, human airway epithelial models, and human intestinal organoids. Analyses confirm that these models match the morphology and protein expression of manually prepared and native tissues, with similar cell viability. These successes highlight ReBiA's potential to lower barriers to broader adoption of in vitro tissue models, supporting a shift toward more ethical and advanced research methods.
Author(s)
Königer, Lukas
Fraunhofer-Institut für Silicatforschung ISC  
Malkmus, Christoph
Fraunhofer-Institut für Silicatforschung ISC  
Mahdy, Dalia
University Hospital Würzburg, Chair of Tissue Engineering and Regenerative Medicine
Däullary, Thomas, Thomas
University Hospital Würzburg, Chair of Tissue Engineering and Regenerative Medicine
Götz, Susanna
Technical University of Applied Sciences Würzburg-Schweinfurt, Faculty of Design Würzburg
Schwarz, Thomas
Fraunhofer-Institut für Silicatforschung ISC  
Gensler, Marius
University Hospital Würzburg, Chair of Tissue Engineering and Regenerative Medicine
Pallmann, Niklas
University Hospital Würzburg, Chair of Tissue Engineering and Regenerative Medicine
Cheufou, Danjouma Housmanou
Klinikum Würzburg Mitte, Department of Thoracic Surgery
Rosenwald, Andreas
University of Würzburg, Institute of Pathology
Möllmann, Marc  
Fraunhofer-Institut für Silicatforschung ISC  
Groneberg, Dieter
Fraunhofer-Institut für Silicatforschung ISC  
Popp, Christina
Fraunhofer-Institut für Silicatforschung ISC  
Groeber-Becker, Florian Kai  
Fraunhofer-Institut für Silicatforschung ISC  
Steinke, Maria  
Fraunhofer-Institut für Silicatforschung ISC  
Hansmann, Jan
Fraunhofer-Institut für Silicatforschung ISC  
Journal
Advanced science  
Open Access
DOI
10.1002/advs.202406608
Language
English
Fraunhofer-Institut für Silicatforschung ISC  
Keyword(s)
  • 3R

  • AI tools

  • alternatives to animal testing

  • lab automation

  • tissue engineering

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