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.

2D SEM  (White) Grain Segmentation

2D SEM (White) Grain Segmentation

Recipe (hxrecipe), Data

This recipe segments and calculate the physical attributes of the white grains in the 2D SEM image

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Length Distribution Analysis

Length Distribution Analysis

Recipe (hxrecipe), Project (hx, pgo), Demo, Data

This tutorial demonstrated how to quantify thickness distribution along the length

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Recipe Sequencer

Recipe Sequencer

Recipe (hxrecipe), XPand module, Data

Module for sequencing a recipe on each individual isolated label from a label field.

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Porosity Clustering Analysis and Distance to Surface

Porosity Clustering Analysis and Distance to Surface

Recipe (hxrecipe), Project (hx, pgo), Demo, Data

This tutorial demonstrates the steps to quantify porosity distribution and the distance to surface analysis.

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Parameter optimization for auto-thresholding a data

Parameter optimization for auto-thresholding a data

Python (pyscro), Project (hx, pgo), Data

In this pyscro example we use opencv and matplotlib to automatically calculate an optimized parameter for thresholding the data based on various metrics.

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Particle agglomeration

Particle agglomeration

Recipe ISP (hxisp,a2d), Demo, Data

The recipe segments particles that are touching each other, and individual ones.

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Porous silicon

Porous silicon

Recipe ISP (hxisp,a2d), Demo, Data

The recipe detects pores in a porous silicon.

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Size distribution of Nb-Cu nanoparticles

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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Particles identification in Nickel-Base Superalloy

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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Three Phase Ti Segmentation

Three Phase Ti Segmentation

Recipe ISP (hxisp,a2d), Data

Alpha, Borides, Beta segmentation of FIB Serial Section Dataset of Ti Alloy with Borides

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Porous Silicon Batch

Porous Silicon Batch

Recipe ISP (hxisp,a2d), Demo, Data

Batch processing of a subset of porous silicon SEM images.

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Porosity in a polymer divider

Porosity in a polymer divider

Recipe ISP (hxisp,a2d), Demo, Data

The recipe detects pores in a polymer divider (SEM image).

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Porosity in a battery separator

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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Getting Started with Deep Learning Training (Membrane Segmentation)

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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Plates in Ti-62222

Plates in Ti-62222

Recipe ISP (hxisp,a2d), Data

FIB Serial Section of Ti-62222

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How to use deep learning models in AmiraAvizo2D Analyzer

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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Tutorial: Generate a DVC mesh of complex shapes

Tutorial: Generate a DVC mesh of complex shapes

Demo, Data

This tutorial describes how to build a DVC mesh for specimens with complex shapes.

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Relative pore fraction

Relative pore fraction

Recipe (hxrecipe), Demo, Data

The calculation of a relative pore fraction for each separated grains.

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Cracks and cavities segmentation in CT data

Cracks and cavities segmentation in CT data

Recipe (hxrecipe), Data

This recipe is useful in segmenting data with cracks/pores and cavities.

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Random Forests for Multiclass Segmentation using Python API in PerGeos

Random Forests for Multiclass Segmentation using Python API in PerGeos

Python (pyscro), Project (hx, pgo), Data

Simple demonstration of feature computation where the feature vector contains intensity and 2D eigenvalues (X & Y). This example uses random forests implementation from the sklearn package.

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