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Related Experiment Video

Updated: Oct 2, 2025

Generation of a Human iPSC-Based Blood-Brain Barrier Chip
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Academic User View: Organ-on-a-Chip Technology.

Mathias Busek1,2, Aleksandra Aizenshtadt1, Mikel Amirola-Martinez1

  • 1Hybrid Technology Hub-Centre of Excellence, Institute of Basic Medical Sciences, University of Oslo, 0317 Oslo, Norway.

Biosensors
|February 24, 2022
PubMed
Summary

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Extracellular matrix properties, interstitial flow, and VEGF gradients shape trophoblast behavior in a pumpless Trophoblast Invasion-on-Chip (TIoC).

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Organ-on-a-Chip (OoC) systems offer versatile in vitro models. Commercial platforms are usable but lack complexity, while custom systems are complex but less robust, guiding future OoC development.

Area of Science:

  • Biotechnology
  • Bioengineering
  • Material Science

Background:

  • Organ-on-a-Chip (OoC) systems integrate multiple scientific disciplines to mimic in vivo microenvironments.
  • OoC technology facilitates in vitro studies for physiological processes, drug development, and testing across academia and industry.

Purpose of the Study:

  • To evaluate current Organ-on-a-Chip platforms from an academic end-user perspective.
  • To assess usability, complexity, and robustness of commercial versus self-made OoC systems.
  • To provide guidance for researchers and encourage the development of next-generation OoCs.

Main Methods:

  • A global survey of 187 academic researchers across 35 countries was conducted.
  • Responses were analyzed based on researchers' preliminary knowledge and the source of OoC systems used.
Keywords:
disease modelsdrug testinglimitationsmicrophysiological systems (MPS)organ-on-a-chip (OoC)surveyusability

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  • Data were grouped to compare commercial and self-made Organ-on-a-Chip platforms.

    • Main Results:

    • Commercial OoC platforms demonstrate significant robustness and usability, driving pharmaceutical industry adoption.
    • A notable limitation of commercial systems is their lack of complexity, hindering their predictive power for certain applications.
    • Self-made OoC systems offer greater customization and complexity for human disease modeling but are less robust and standardized.

    Conclusions:

    • While commercial Organ-on-a-Chip systems excel in usability and robustness, their complexity is limited.
    • Self-made systems provide necessary complexity for advanced modeling but require further standardization and robustness improvements.
    • Future Organ-on-a-Chip development should focus on enhancing complexity and customization while maintaining usability and robustness.