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.
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Additive Manufacturing Powder

Additive Manufacturing Powder

Recipe ISP (hxisp,a2d)

Segmentation of the particles located in the foreground of the SEM image.

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BSE SEM denoiser

BSE SEM denoiser

Deep learning model

U-Net model for denoising back-scattered SEM images.

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Au-Ni-Cl Nanoparticles

Au-Ni-Cl Nanoparticles

Recipe ISP (hxisp,a2d)

This recipe segments nanoparticles of different element from an EDS map.

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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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Convert To Spreadsheet

Convert To Spreadsheet

Python (pyscro)

This module allows the user to convert a scalar/vector/tensor field into a spreadsheet containing the X,Y,Z positions and the values of the field.

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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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Disp View

Disp View

Python (pyscro)

This module allows the user to visualise a vector field, computed using the Digital Volume Correlation module, with arrows coloured according to the magnitude of the vector.

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Convert To Volume

Convert To Volume

Python (pyscro)

This module allows the user to re-map a DVC scalar field (displacement and strain components) stored in a mesh into a lattice dataset (image).

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Green-Lagrange Strain

Green-Lagrange Strain

Python (pyscro)

This module allows the user to compute the Green-Lagrange strain tensor from a displacement field.

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Cumulate Displacement Field

Cumulate Displacement Field

Python (pyscro)

This module allows the user to add multiple displacement fields.

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Scalar Extract

Scalar Extract

Python (pyscro)

This module extracts the displacement and strain components computed using the Digital Volume Correlation module.

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DVC Accuracy

DVC Accuracy

Python (pyscro)

This module allows the user to measure the displacement and strain errors from two repeat scans.

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Incremental Global DVC

Incremental Global DVC

Python (pyscro)

Perform incremental DVC analysis for a series of deformed image, using either small strain or large strain approaches (note: to run correctly the Green Lagrange strain script needs to be installed).

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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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Different methods to measure the volume of fibers generated by XFiber extension

Different methods to measure the volume of fibers generated by XFiber extension

Project (hx, pgo), Demo

This guideline aims to identify different ways to analyze the volume fraction of fibers traced by the XFiber extension.

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Simulation-based Tortuosity estimation of porous media

Simulation-based Tortuosity estimation of porous media

Tcl

Tortuosity is a key factor for material characterization of porous media. This package propose 4 methods to calculate the tortuosity factor based on the xlab properties: Absolute Permeability, Molecular Diffusion, Formation Factor and Thermal Conductivity.

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