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.
Tcl, Project (hx, pgo)
7 Sep 2021 - Using the Tcl Command Module, it is easy to export the surfaces of single objects from a multi-object surface as OBJ (Wavefront) files.
Python (pyscro), Project (hx, pgo)
8 Mar 2021 - Segmentation evaluation using standard precision, recall metrics for comparing two segmentation labels.
Recipe (hxrecipe), Project (hx, pgo), Demo, Data, Misc
4 Jan 2021 - The following videos and training material detail the steps taken to automate the analysis of multiple parts in a single X-ray CT volume.
Recipe (hxrecipe), Tcl, Project (hx, pgo)
10 Jul 2020 - Segment TEM data aided by the Structure enhancement filter.
Project (hx, pgo)
3 Jul 2020 - This XTRA entry discusses the application of the “Spatial Graph Local Statistics” to extract statistical information from traced fibers in a fibrous material. The sample is 50% glass fiber-reinforced polymer (GFRP), courtesy of EMS Grivory.
Project (hx, pgo), Demo, Data
11 May 2020 - Data, tutorial, and complete project for segmenting a CT-scanned human molar artifact. The tutorial and project cover advanced image segmentation and surface generation.
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.
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.
Python (pyscro), Project (hx, pgo), Data
7 Oct 2019 - In this pyscro example we use opencv and matplotlib to automatically calculate an optimized parameter for thresholding the data based on various metrics.