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Updated: Aug 7, 2026
10:40
Single-Cell Resolution Three-Dimensional Imaging of Intact Organoids
Published on: June 5, 2020
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Biophysics of organoids
Vanessa Weichselberger1, Gareth Moore2, Sham Tlili3
1Aix Marseille Univ, CNRS, IBDM (UMR 7288), Turing Centre for Living Systems, Marseille, France; European Molecular Biology Laboratory, EMBL Barcelona, Dr. Aiguader 88, PRBB Building, 08003 Barcelona, Spain.
Developmental Cell
|December 23, 2025
Summary
Organoids, 3D stem cell models, are revolutionizing developmental biology and disease research by integrating biophysical and biochemical cues. Understanding the biophysics of organoids offers new avenues for organogenesis and regenerative medicine.
Area of Science:
- Developmental Biology
- Biophysics
- Stem Cell Biology
Background:
- Organoids are 3D in vitro models derived from stem cells, mimicking organ development and physiology.
- They replicate complex biological processes like cell differentiation and tissue organization.
- Organoid development is influenced by both biochemical signals and biophysical factors.
Purpose of the Study:
- To review the application of physics-based approaches to study organoid development.
- To explore the emerging field of "biophysics of organoids."
- To highlight insights into organogenesis, disease modeling, and regenerative medicine.
Main Methods:
- Mechanical, kinetic, and information-based approaches.
- Statistical methods and artificial intelligence (AI)-driven techniques.
- Analysis of biophysical factors like ECM composition, cell motility, and tissue stiffness.
Main Results:
- Biophysical factors interact with biochemical signals to drive organoid formation and patterning.
- Physics-based approaches provide a framework for understanding multiscale phenomena in organoids.
- Organoid models reveal species-specific developmental variations.
Conclusions:
- The biophysics of organoids is a rapidly growing research area.
- Integrating physics principles enhances our understanding of organoid development and function.
- These insights are crucial for advancing regenerative medicine and disease modeling.
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