Recipe (hxrecipe), Recipe ISP, IVP, A2D, Deep learning model, Python (pyscro), Tcl, XPand module, Project (hx, pgo), Template, Demo, Data, Misc
22 Dec 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
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
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
How to Use the Image Recipe Designer workroom
Recipe ISP, IVP, A2D, Demo
14 Sep 2021 - This tutorial demonstrates how to use the Image Recipe Designer (formerly 'Image Stack Processing' or 'ISP') workroom, an intuitive 2D workroom for automating image processing workflows in 3D. Learn more
Recipe ISP, IVP, A2D
17 Nov 2020 - A recipe for applying a Marker Based Watershed (as in the Segmentation Editor) from the Project View. Learn more
Relative Area Fraction for Amira-Avizo2D
Recipe ISP, IVP, A2D, Python (pyscro), Data, Misc
5 Oct 2020 - This Xtra provides a module to help compute the area fraction of a label over the area of another label in Amira-Avizo2D. Learn more
Recipe ISP, IVP, A2D, Python (pyscro), Project (hx, pgo), Demo
21 Aug 2020 - Simple workflow for tracking cell nuclei in a 3D Time Series. Learn more
Segmentation of Pathological Osteocytes in an Undecalcified Piece of Mouse Bone using Amira-Avizo2D
Recipe ISP, IVP, A2D
3 Jul 2020 - This is a workflow to segment out osteocytes in mouse bone sample using Amira-Avizo2D. Learn more
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