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.

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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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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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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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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Berea Pore Size Distribution Tutorial

Berea Pore Size Distribution Tutorial

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

Create a semi-automatic workflow for Pore Size Distribution on Berea sandstone

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Average interleaved data

Average interleaved data

Python (pyscro), Project (hx, pgo)

The purpose of this python script object is to average interleaved data.

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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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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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