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.
Segmentation of agglomerated Ni nanoparticles
Recipe ISP (hxisp,a2d)
24 Aug 2020 - This recipe segments overlapping Ni nanoparticles on a high resolution STEM image after which a size distribution of the nanoparticles can also be computed
Python (pyscro)
30 Jul 2020 - Generalized Hough transform to fit circles to the image.
Multi-Scale Cylinder Correlation
Python (pyscro), Project (hx, pgo)
30 Jul 2020 - This module gives better results for fiber-tracing in the case of multiple fibers with differing or varying diameters in the same dataset.
Segment TEM data without artifact and background effect
Recipe (hxrecipe), Tcl, Project (hx, pgo)
10 Jul 2020 - Segment TEM data aided by the Structure enhancement filter.
Python (pyscro)
4 Mar 2020 - 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.
Python (pyscro)
4 Mar 2020 - This module allows the user to add multiple displacement fields.
Python (pyscro)
4 Mar 2020 - This module allows the user to compute the Green-Lagrange strain tensor from a displacement field.
Python (pyscro)
4 Mar 2020 - 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).
Python (pyscro), Project (hx, pgo)
21 Oct 2019 - The purpose of this python script object is to average interleaved data.
2D SEM (White) Grain Segmentation
Recipe (hxrecipe), Data
21 Oct 2019 - This recipe segments and calculate the physical attributes of the white grains in the 2D SEM image
Load a Numpy array into PerGeos/Amira-Avizo using the Python API
Python (pyscro)
21 Oct 2019 - This script simply reads and loads numpy arrays in a user specified directory into PerGeos/Amira-Avizo as an image.
Recipe (hxrecipe), Project (hx, pgo), Demo, Data
21 Oct 2019 - This tutorial demonstrated how to quantify thickness distribution along the length
Porosity Clustering Analysis and Distance to Surface
Recipe (hxrecipe), Project (hx, pgo), Demo, Data
21 Oct 2019 - This tutorial demonstrates the steps to quantify porosity distribution and the distance to surface analysis.
Cracks and cavities segmentation in CT data
Recipe (hxrecipe), Data
21 Oct 2019 - This recipe is useful in segmenting data with cracks/pores and cavities.
Feature segmentation for non-uniform illumination and low-contrast images
Recipe (hxrecipe)
17 Oct 2019 - The recipe lets you segment small features on images with non-uniform illumination and low contrast.
Python (pyscro)
17 Oct 2019 - This module allows the user to compute the volume fraction per separated region depending on depth from the surface of a segmented object.
Tcl
16 Oct 2019 - Automatically crop your volume data to reduce its size.
Simulation-based Tortuosity estimation of porous media
Tcl
16 Oct 2019 - 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.
Different methods to measure the volume of fibers generated by XFiber extension
Project (hx, pgo), Demo
16 Oct 2019 - This guideline aims to identify different ways to analyze the volume fraction of fibers traced by the XFiber extension.
Recipe (hxrecipe), Demo, Data
16 Oct 2019 - The calculation of a relative pore fraction for each separated grains.
Export Spatial Graph to MS Excel XML document
Recipe (hxrecipe), Tcl, Demo
16 Oct 2019 - An Amira-Avizo recipe to export to a XML document which can be used in MS Excel for further analysis.