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Related Experiment Video

Updated: Sep 8, 2025

Single-Cell Resolution Three-Dimensional Imaging of Intact Organoids

Single-Cell Resolution Three-Dimensional Imaging of Intact Organoids

Published on: June 5, 2020

Systematically quantifying morphological features reveals constraints on organoid phenotypes.

Lauren E Beck¹, Jasmine Lee¹, Christopher Coté¹

¹Department of Bioengineering, School of Engineering and Applied Sciences, University of Pennsylvania, Philadelphia, PA, USA.

|June 15, 2022

Summary

This summary is machine-generated.

Organoid morphology is shaped by tissue-specific constraints, not just culture conditions. This study develops a framework to identify these constraints, revealing how cell number scales with cyst size in kidney organoids.

Keywords:

design principles morphology organoids

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Last Updated: Sep 8, 2025

Single-Cell Resolution Three-Dimensional Imaging of Intact Organoids

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Published on: June 5, 2020

A High-Throughput Platform for Culture and 3D Imaging of Organoids

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Label-free, High-Resolution 3D Imaging and Machine Learning Analysis of Intestinal Organoids via Low-Coherence Holotomography

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Published on: August 12, 2025

Area of Science:

* Developmental Biology
* Organoid Science
* Quantitative Biology

Background:

* Organoids mimic complex 3D organ structures, offering insights into self-organization principles.
* Organoid morphology often reflects the native organ, suggesting inherent tissue-specific constraints.
* Understanding these constraints is crucial for accurate organoid modeling and engineering.

Purpose of the Study:

* To establish a quantitative framework for identifying morphological constraints in organoids.
* To investigate how tissue-specific constraints govern organoid morphology under varying conditions.
* To apply this framework to kidney and intestinal organoids.

Main Methods:

* Developing a computational framework to quantify organoid morphological features from microscopy images.
* Applying perturbation experiments to organoids cultured under various conditions.
* Analyzing scaling relationships and parameter limits within organoid populations.

Main Results:

* Identified specific constraints on Madin-Darby canine kidney cyst morphology, including scaling relationships.
* Demonstrated that cell number increases with cyst size, while cell size remains constant.
* Showed that these constraints are dynamic, varying with cyst age and culture conditions.
* Observed similar constraint patterns in intestinal organoids.

Conclusions:

* Organoid morphology is governed by identifiable, tissue-specific constraints beyond culture conditions.
* The developed quantitative framework enables systematic identification and analysis of these constraints.
* Findings provide a foundation for precise organoid engineering and understanding developmental processes.