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.

Improving microstructural quantification in FIB/SEM nanotomography

Improving microstructural quantification in FIB/SEM nanotomography

Advanced nanotomographic analysis is still far from routine, and a number of challenges remain in data acquisition and post-processing. In this work, we present a number of techniques to improve the quality of the acquired data, together with easy-to-implement methods to obtain “advanced” microstructural quantifications. The techniques are applied to a solid oxide fuel cell cathode of interest to the electrochemistry community, but the methodologies are easily adaptable to a wide range of... Read more

Joshua A.Taillon, Christopher Pellegrinelli, Yi-Lin Huang, Eric D.Wachsman, Lourdes G. Salamanca-Riba

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Optical Resolution Photoacoustic Microscopy of Ovary and Fallopian Tube

Optical Resolution Photoacoustic Microscopy of Ovary and Fallopian Tube

Ovarian cancer is the leading cause of death among gynecological cancers, but is poorly amenable to preoperative diagnosis. In this study, we investigate the feasibility of “optical biopsy,” using high-optical-resolution photoacoustic microscopy (OR-PAM) to quantify the microvasculature of ovarian and fallopian tube tissue. The technique is demonstrated using excised human ovary and fallopian tube specimens imaged immediately after surgery.
This report describes the first applicatio... Read more

Bin Rao, Xiandong Leng, Yifeng Zeng, Yixiao Lin, Ruimin Chen, Qifa Zhou, Andrea R. Hagemann, Lindsay M. Kuroki, Carolyn K. McCourt, David G. Mutch, Matthew A. Powell, Ian S. Hagemann & Quing Zhu

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