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Generation of Three-Dimensional Spheroids/Organoids from Two-Dimensional Cell Cultures Using a Novel Stamp Device

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A circle/sphere populating method to generate 2D/3D stochastic microstructures.

Yilin Li¹, Dedao Liu¹, Wenyi Yan¹

¹Department of Mechanical and Aerospace Engineering, Monash University, Clayton, VIC, 3800, Australia.

|April 7, 2023

Summary

This summary is machine-generated.

A novel circle/sphere populating method generates 2D/3D stochastic microstructures with clear features. This approach offers computational efficiency and control over microstructure morphology without optimization processes.

Keywords:

Circle/sphere populating Circular/spherical features Clustering and agglomerating Stochastic 2D/3D microstructure reconstruction

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Area of Science:

Materials Science
Computational Modeling
Geology

Background:

Stochastic microstructures are crucial for material properties.
Existing methods for generating microstructures have limitations in feature clarity and control.

Purpose of the Study:

To propose a new circle/sphere populating method for generating 2D/3D stochastic microstructures.
To compare the proposed method with existing techniques (QSGS, random circle/sphere).
To investigate the influence of input parameters on microstructure generation.

Main Methods:

Utilizing circles/spheres as basic elements for microstructure generation.
Implementing a populating process starting from random cores.
Controlling the process with parameters like volume fraction, size distribution, and spatial distribution.

Main Results:

The proposed method generates microstructures with superior feature geometry and boundary definition compared to QSGS and random methods.
Parametric studies demonstrate control over feature clustering, agglomeration, and overall morphology.
Successful application in generating sandstone microstructures and analyzing permeability.

Conclusions:

The circle/sphere populating method provides an efficient and accurate way to generate diverse stochastic microstructures.
It allows for precise control over microstructural features without requiring annealing-based optimization.
The method is versatile, applicable to various materials and analyses, including permeability prediction.