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Author Spotlight: EasyFlow - An Economical and Adaptable Perfusion Bioreactor for Large Blood Vessel Culture
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The 'bIUreactor': An Open-Source 3D Tissue Research Platform.

Elizabeth Butch1, Matthew Prideaux2, Mark Holland1

  • 1Department of Radiology and Imaging Sciences, Indiana University School of Medicine, Indianapolis, IN, USA.

Annals of Biomedical Engineering
|March 27, 2024
PubMed
Summary
This summary is machine-generated.

Researchers can now study 3D structured tissues affordably with the open-source bIUreactor platform. This versatile system enables 3D tissue generation, perfusion, and mechanical loading in any lab for under $8,000.

Keywords:
3D printing3D tissueBiofabricationBioprintingBioreactorHardwareOpen-sourceTissue cultureTissue engineering

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Area of Science:

  • Biomedical Engineering
  • Tissue Engineering
  • Open-Source Technology

Background:

  • Studying 3D structured tissues is crucial for advancing biomedical research.
  • Existing bioreactor systems can be expensive and inaccessible for many laboratories.

Purpose of the Study:

  • To develop an affordable, open-source research platform for studying 3D structured tissues.
  • To enable researchers to generate, culture, and apply mechanical stimuli to 3D tissues in their own labs.

Main Methods:

  • Leveraging 3D printing, open-source software, and hardware to create a modular bioreactor system.
  • Integrating components for perfusible 3D tissue generation, oxygenated perfusion, and cyclic compression.
  • Developing open-source code for controlling the bioreactor system.

Main Results:

  • The bIUreactor platform successfully enables the generation and culture of perfusible 3D tissues.
  • The system incorporates a bioreactor chamber, cyclic compression module, and peristaltic pump for oxygenated perfusion.
  • The complete system, including a 3D printer and electronics, costs approximately $8,000.

Conclusions:

  • The open-source bIUreactor democratizes 3D tissue research by providing an accessible and versatile platform.
  • This initiative aims to accelerate the pace and scale of biomedical discoveries utilizing 3D tissue models.