Scaffold-free bioprinting of mesenchymal stem cells with the regenova printer: Optimization of printing parameters

Izath Nizeet Aguilar, Lester J. Smith, David J. Olivos, Tien Min Gabriel Chu, Melissa A. Kacena, Diane R. Wagner

Research output: Contribution to journalArticle

5 Scopus citations

Abstract

The Kenzan bioprinting method provides a high-resolution biofabrication process by facilitating the fusion of submillimeter cell aggregates (spheroids) into larger tissue constructs on a needle array that is removed upon spheroid fusion. Although the method is relatively straightforward in principle, Kenzan method bioprinting relies on a complex 3D bioprinter (Regenova Bio 3D Printer, Cyfuse, K.K., Japan) implementing an advanced vision system to verify the microscopic spheroids’ geometry and high-precision mechatronics to aseptically manipulate the spheroids into position. Due to the complexity of the operation, the need for aseptic conditions, and the size of the spheroids, proficiency with the Regenova Bio 3D Printer and the Kenzan method requires development of best practices and troubleshooting techniques to ensure a robust print and minimize the use of resources. In addition, managing the construct post-bioprinting both in culture and for surgical implantation requires careful consideration and workflow design. Here, we describe methods for generating a competent tissue construct and optimizing the bioprinting process. Optimization resulted in a 4-fold reduction in print times, a 20-fold reduction in the use of bioprinting nozzles, and more robust constructs. The results and procedures described herein will have potential applications for tissue engineering, research, and clinical uses in the future.

Original languageEnglish (US)
Article numbere00048
JournalBioprinting
Volume15
DOIs
StatePublished - Sep 2019

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Keywords

  • Bioprinting
  • Mesenchymal stem cells
  • Osteogenesis
  • Regenova
  • Scaffold-free
  • Spheroid formation
  • Tissue engineering

ASJC Scopus subject areas

  • Biotechnology
  • Biomedical Engineering
  • Computer Science Applications

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