Trabecular Segmentation Workflow for Murine Tibial Bone
Add-on How-to

Trabecular Segmentation Workflow for Murine Tibial Bone

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

11 Dec 2023 - Here we provide a workflow to easily obtain the segmentation of trabecular bones.  Learn more

Xtras Installer for Amira-Avizo 2023.1 and Prior
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Xtras Installer for Amira-Avizo 2023.1 and Prior

Recipe (hxrecipe), Recipe ISP, IVP, A2D, Deep learning model, Python (pyscro), Tcl, XPand module, Project (hx, pgo), Template, Demo, Data, Misc

30 Jun 2022 - The Xtras Installer is a tool that provides an easy way to install resources from the Xtra Library on to your local machine.  Learn more

Object Separation using Random-Walk Distance Map
Add-on

Object Separation using Random-Walk Distance Map

Recipe ISP, IVP, A2D, Demo, Data

3 Jun 2022 - Recipe utilizing an object separation workflow relying on the Random-Walk Distance Map. It is more robust than Separate Object for noisy segmentation or non-spherical shapes.  Learn more

Bone Segmentation Workflow for Murine Hindpaw
Add-on How-to

Bone Segmentation Workflow for Murine Hindpaw

Recipe ISP, IVP, A2D, Demo, Data

28 Apr 2022 - Semi-automatic workflow and recipe for high-throughput bone segmentation of murine hindpaw micro-CT datasets.  Learn more

Porosity Volume Fraction Analysis
Add-on How-to

Porosity Volume Fraction Analysis

Project (hx, pgo), Demo, Data

18 Nov 2021 - This tutorial demonstrates the steps to quantify porosity volume fraction and distribution.  Learn more

Inter Time Steps Recipe Player
Add-on How-to

Inter Time Steps Recipe Player

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

18 Nov 2021 - The Inter Time Steps Recipe Player module executes a two-input recipe to a specific pair of two successive time steps of a time series dataset, or to all its pairs of two successive time steps.  Learn more

Thresholding From Mean
Add-on How-to

Thresholding From Mean

Python (pyscro), Data

4 Jan 2021 - This module performs an adaptive global thresholding of the input image by computing a deviation from the mean of its grayscale values.  Learn more

Molar Segmentation Using Watershed, Top-Hat, and Surface Generation
Add-on How-to

Molar Segmentation Using Watershed, Top-Hat, and Surface Generation

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.  Learn more

Length Distribution Analysis
Add-on How-to

Length Distribution Analysis

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

21 Oct 2019 - This tutorial demonstrated how to quantify thickness distribution along the length  Learn more

Porosity Clustering Analysis and Distance to Surface
Add-on How-to

Porosity Clustering Analysis and Distance to Surface

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

21 Oct 2019 - This tutorial demonstrates the steps necessary to quantify porosity distribution and perform a pore distance to surface analysis.  Learn more

Recipe Sequencer
Add-on

Recipe Sequencer

Recipe (hxrecipe), XPand module, Data

14 Oct 2019 - Module for sequencing a recipe on each individual isolated label from a label field.  Learn more

Parameter optimization for auto-thresholding a data
Add-on

Parameter optimization for auto-thresholding a data

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.  Learn more

How to Use Deep Learning Models in Amira-Avizo2D Analyzer
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How to Use Deep Learning Models in Amira-Avizo2D Analyzer

Recipe ISP, IVP, A2D, Deep learning model, Data

3 Oct 2019 - Examples showing how to use AI (deep learning models) in an Analyzer recipe (hxisp).  Learn more

Getting Started with Deep Learning Training for Image Segmentation
Add-on

Getting Started with Deep Learning Training for Image Segmentation

Deep learning model, Project (hx, pgo), Data

27 Jun 2019 - Model and companion project for the Deep Learning tutorial.  Learn more