Welcome to the Amira-Avizo Software Use Case Gallery

Below you will find a collection of use cases of our 3D data visualization and analysis software. These use cases include scientific publications, articles, papers, posters, presentations or even videos that show how Amira-Avizo Software is used to address various scientific and industrial research topics.

Use the Domain selector to filter by main application area, and use the Search box to enter keywords related to specific topics you are interested in.

X-ray micro-computed tomography for 3D characterization of particle kinematics representing water-induced loess micro-fabric collapse

X-ray micro-computed tomography for 3D characterization of particle kinematics representing water-induced loess micro-fabric collapse

3D characterisation of the particle kinematics during loess collapse is performed based on X-ray micro-computed tomography.

Particle displacements and rotations associated with the collapse are determined.

The volumetric strain is shown to be significantly heterogeneous at single-particle scale.

The evolution of particle-to-particle contacts is found to be much more complex than previously stated.

 

An apparatus is specially designed to perf... Read more

B. Yu, W. Fan, J.H. Fan, T.A. Dijkstra, Y.N. Wei, T.T. Wei

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Microstructure analysis and image-based modelling of face masks for COVID-19 virus protection

Microstructure analysis and image-based modelling of face masks for COVID-19 virus protection

Until March 2021, around 120 million coronavirus disease (COVID-19) infected cases and over 2.6 million deaths have been reported worldwide. […] Recent investigations have implied that face masks help to reduce the disease transmission and therefore slow down the growth of the epidemic curve. However, there are still ongoing debates on the efficacy of wearing masks […] since there is a general lack of information relating to the material structure of commonly used face masks.Read more

Wenjia Du, Francesco Iacoviello, Tacson Fernandez, Rui Loureiro, Daniel J. L. Brett & Paul R. Shearing

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