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.

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High-resolution mapping of brain vasculature and its impairment in the hippocampus of Alzheimer’s disease mice

High-resolution mapping of brain vasculature and its impairment in the hippocampus of Alzheimer’s disease mice

Accumulating evidence indicates the critical importance of cerebrovascular dysfunction in the pathogenesis of Alzheimer’s disease (AD). However, systematic comparative studies on the precise brain vasculature of wild-type and AD model mice are still rare. Using an image optimization method for analyzing Micro-Optical Sectioning Tomography (MOST) data, we generated cross-scale whole-brain 3D atlases that cover the entire vascular system from large vessels down to smallest capillaries at ... Read more

Xiaochuan Zhang, Xianzhen Yin, Jingjing Zhang, Anan Li, Hui Gong, Qingming Luo, Haiyan Zhang, Zhaobing Gao, Hualiang Jiang

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Modernization of Golgi staining techniques for high-resolution, 3-dimensional imaging of individual neurons

Modernization of Golgi staining techniques for high-resolution, 3-dimensional imaging of individual neurons

Analysis of neuronal arborization and connections is a powerful tool in fundamental and clinical neuroscience. Changes in neuronal morphology are central to brain development and plasticity and are associated with numerous diseases. Golgi staining is a classical technique based on a deposition of metal precipitate in a random set of neurons. Despite their versatility, Golgi methods have limitations that largely precluded their use in advanced microscopy. We combined Golgi staining with fluore... Read more

Katlijn Vints, Dorien Vandael, Pieter Baatsen, Benjamin Pavie, Frank Vernaillen, Nikky Corthout, Vasily Rybakin, Sebastian Munck & Natalia V. Gounko

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