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.

Insights into data with the KAUST Visualization Core Lab

Insights into data with the KAUST Visualization Core Lab

Through collaboration, the KAUST Visualization Core Lab (KVL) team augments the efforts and domain expertise of KAUST researchers by providing complimentary technical knowledge with exploratory visualization and analytic tools.

KVL’s multi-year collaboration with KAUST Distinguished Professor P. Magistretti and research scientist C. Calì’s KAUST-EPFL Alliance for Integrative Modelling of Brain Energy Metabolism project—itself a collaboration with the Swiss Blue Br... Read more

By the KAUST Visualization Core Lab team and Caitlin Clark

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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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Computational fluid dynamics with imaging of cleared tissue and of in vivo perfusion predicts drug uptake and treatment responses in tumours

Computational fluid dynamics with imaging of cleared tissue and of in vivo perfusion predicts drug uptake and treatment responses in tumours

Understanding the uptake of a drug by diseased tissue, and the drug’s subsequent spatiotemporal distribution, are central factors in the development of effective targeted therapies. However, the interaction between the pathophysiology of diseased tissue and individual therapeutic agents can be complex, and can vary across tissue types and across subjects. Here, we show that the combination of mathematical modelling, high-resolution optical imaging of intact and optically cleared tumour tiss... Read more

Angela d’Esposito, Paul W. Sweeney, Morium Ali, Magdy Saleh, Rajiv Ramasawmy, Thomas A. Roberts, Giulia Agliardi, Adrien Desjardins, Mark F. Lythgoe, R. Barbara Pedley, Rebecca Shipley and Simon Walker-Samuel

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Visual research filler network structure in polymer composites and its structure-activity relationship by fluorescent labeling and LSCM

Visual research filler network structure in polymer composites and its structure-activity relationship by fluorescent labeling and LSCM

For organic-inorganic composite materials, the spatial dispersion of inorganic fillers in the organic matrix is of great significance for designing and manufacturing high-performance composite materials. To improve the understanding of the micro-physical mechanism of the filler-reinforced polymer matrix, we studied the relationship between filler network structure and macro-mechanical properties of silicone rubber by using fluorescent labeling technology and three-dimensional (3D) visualizati... Read more

Shangjun Zeng, Ming Kang, Kexu Chen, Rong Sun, Ai Lu, Guanjun Changa

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