Deploy ROI Extractor and Patch Extractor Modules New
Add-on

Deploy ROI Extractor and Patch Extractor Modules

Tcl

16 Jan 2025 - This Xtra allows for ROI Extractor and Patch Extractor modules deployment.  Learn more

Dual Energy CT (DECT) New
Add-on

Dual Energy CT (DECT)

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

4 Dec 2024 - Using the DECT modules, one can calculate density and effective atomic number for the sample on a voxel-by-voxel basis.  Learn more

Digital Rock Data New
Add-on

Digital Rock Data

Data

22 Nov 2024 - Three-dimensional datasets of rocks and other porous micro-structures.  Learn more

Avizo 3D for Industrial Inspection - Metrology Workroom Data New
Add-on

Avizo 3D for Industrial Inspection - Metrology Workroom Data

Data

23 Oct 2024 - Three-dimensional dataset for Industrial Inspection (Metrology Workroom).  Learn more

Slice by Slice Thinning
Add-on

Slice by Slice Thinning

XPand module

6 Apr 2022 - This module performs the thinning of a binary image slice-by-slice.  Learn more

Differential Interference Contrast (DIC) Image Segmentation and Quantification using Deep Learning
Add-on How-to

Differential Interference Contrast (DIC) Image Segmentation and Quantification using Deep Learning

Recipe (hxrecipe), Deep learning model, Demo

18 Nov 2021 - This workflow uses deep learning to segment images obtained by Differential Interference Contrast (DIC) microscopy. Nuclei and mitochondria are segmented and counted cell per cell.  Learn more

Cylinder Slice with Native Resolution in Z
Add-on

Cylinder Slice with Native Resolution in Z

XPand module

10 Jul 2020 - This Xtra module is a version of the Cylinder Slice module that sets the resolution, in the Z direction, of the extracted image to the native resolution of the input data.  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