tomviz v1.3 — 3D Visualization & Volumetric Data Processing with Python Tools, Tomography, Reproducibility

The tomviz project is a cross platform, open source application for the processing, visualization, and analysis of 3D volumetric data. Python scripts that can be modified in the interface and the entire data processing pipeline is preserved for reproducible science. It is not just a toolset for tomography but rather anyone working with volumetric data. Download at: www.tomviz.org/downloads/

Video edited by Willa Huang and Mike Blaney.

Music by: bensound.com

Thanks for the tomviz team that lead to the success of v1.3 including, Chris Harris, Cory Quammen, Shawn Waldon, Yi Jiang, Peter Ercius, Marcus D. Hanwell, Robert Hovden.

Also thanks to the the new and past contributors, testers, and users: https://github.com/OpenChemistry/tomviz/graphs/contributors

Data used in the video:

Nanomaterial datasets to advance tomography in scanning transmission electron microscopy. B. Levin, E. Padgett, C.C. Chen, M.C. Scott, et al. Scientific Data (2016)

https://www.nature.com/articles/sdata201641

'A Simple Preparation Method for Full-Range Electron Tomography of Nanoparticles and Fine Powders' Elliot Padgett, et al. Microscopy and Microanalysis (2017)

https://www.cambridge.org/core/journals/microscopy-and-microanalysis/article/simple-preparation-method-for-fullrange-electron-tomography-of-nanoparticles-and-fine-powders/918054E2B052A391B82467EB42FCB09C

Source Code available here:

https://github.com/OpenChemistry/tomviz