Welcome to the Xtra Library for
Thermo Scientific Amira, Avizo and PerGeos Software

Feature segmentation for non-uniform illumination and low-contrast images

Recipe (hxrecipe)

The recipe lets you segment small features on images with non-uniform illumination and low contrast.

Cracks and cavities segmentation in CT data

Recipe (hxrecipe), Data

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

Average interleaved data

Python (pyscro), Project (hx, pgo)

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

Amira User's Guide translated to Japanese

Demo, Misc

You will find here a selection of Amira tutorials translated to Japanese.

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.

PerGeos TCL script for processing all files in a folder with a recipe

Tcl

Process all files in a folder by applying the same recipe to all of them individually.

Eagleford Shale FIB-SEM Segmentation

Recipe (hxrecipe)

This recipe guided workflow will result in a 5-phase segmentation applicable to the included dataset and most typical FIB-SEM data. Input Data, the Recipe, Output data are included here.

Berea Pore Size Distribution Tutorial

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

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

Getting Started with Deep Learning Training

Deep learning model, Data

Model and companion project for the Deep Learning tutorial.