Welcome to the Xtra Library for
Thermo Scientific Amira, Avizo and PerGeos Software
Below you will find a collection of add-ons (recipes, scripts, demos,…) that will help you improve your day-to-day use of Amira-Avizo and PerGeos Software and make you gain both time and efficiency.
Use the Search field to look for specific keywords related to your domain of interest. The different filters also help you target specific resources.
Porosity in a battery separator
Recipe ISP (hxisp,a2d), Demo, Data
The recipe classifies the pores in a battery separator (SEM image).
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Recipe ISP (hxisp,a2d), Demo, Data
The recipe detects pores in a polymer divider (SEM image).
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Recipe ISP (hxisp,a2d), Demo, Data
Batch processing of a subset of porous silicon SEM images.
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Recipe ISP (hxisp,a2d)
This recipe segments nanoparticles of different element from an EDS map.
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Recipe ISP (hxisp,a2d), Demo, Data
The recipe segments particles that are touching each other, and individual ones.
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Automated sizing of large area nanoparticles
Recipe ISP (hxisp,a2d), Python (pyscro)
The recipe segments large area Pt-Rh nanoparticles at high resolution (TEM image).
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Size distribution of Nb-Cu nanoparticles
Recipe ISP (hxisp,a2d), Demo, Data
The recipe segments the Nb particles and the Cu particles.
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Recipe ISP (hxisp,a2d)
Segmentation of the particles located in the foreground of the SEM image.
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Recipe ISP (hxisp,a2d), Data
Alpha, Borides, Beta segmentation of FIB Serial Section Dataset of Ti Alloy with Borides
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Particles identification in Nickel-Base Superalloy
Recipe ISP (hxisp,a2d), Python (pyscro), Data
FIB Serial Section of Particles in Nickel-Base Superalloy
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How to use deep learning models in AmiraAvizo2D Analyzer
Recipe ISP (hxisp,a2d), Deep learning model, Data
Examples showing how to use AI (deep learning models) in an Analyzer recipe (hxisp)
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Getting Started with Deep Learning Training (Membrane Segmentation)
Deep learning model, Project (hx, pgo), Data
Model and companion project for the Deep Learning tutorial.
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