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Updated: Nov 30, 2025

Generation of Three-Dimensional Spheroids/Organoids from Two-Dimensional Cell Cultures Using a Novel Stamp Device
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Engineered Microsystems for Spheroid and Organoid Studies.

Sung-Min Kang1, Daehan Kim2, Ji-Hoon Lee3,4

  • 1Department of Green Chemical Engineering, Sangmyung University, Cheonan, Chungnam, 31066, Republic of Korea.

Advanced Healthcare Materials
|November 13, 2020
PubMed
Summary
This summary is machine-generated.

Three-dimensional (3D) in vitro models, like organoids, mimic in vivo conditions for better physiological understanding. Engineered microsystems advance these 3D models, offering insights into complex biological mechanisms.

Keywords:
3D in vitro modelsmechanical principlesmicroengineeringorganoidsspheroids

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Area of Science:

  • Biomedical Engineering
  • Cell Biology
  • Tissue Engineering

Background:

  • Traditional 2D cell cultures inadequately represent in vivo microenvironments.
  • 3D in vitro systems (spheroids, organoids) recapitulate physiological characteristics.
  • There is a growing need for complex and sophisticated 3D models.

Purpose of the Study:

  • To review recent advances in engineered microsystems for 3D in vitro model development.
  • To discuss the physics behind microengineering techniques and their role in recapitulating tissue/organ structures and functions.
  • To summarize current limitations and future perspectives in the field.

Main Methods:

  • Review of engineered microsystems for 3D in vitro models.
  • Analysis of microengineering techniques and their underlying physics.
  • Introduction of various 3D in vitro models and their engineering principles.

Main Results:

  • Engineered microsystems enable the development of advanced 3D in vitro models.
  • Microengineering techniques are crucial for recapitulating complex cellular structures and functions.
  • The review highlights the relationship between physics, engineering, and biological mimicry.

Conclusions:

  • Engineered microsystems are vital for advancing 3D in vitro models.
  • Understanding the physics of microengineering is key to improving model fidelity.
  • Future directions involve overcoming current limitations to enhance the predictive power of these models.