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Topological Data Analysis is coming to ParaView! The Topology ToolKit (TTK) is now available in the ParaView nightly and in the latest release (v5.10), as well as in the ParaView Superbuild. TTK is a collection of filters specific to Topological Data Analysis (Contour tree, Morse-Smale Complex, Topological Simplification, …). You can load this plugin using […]

We are pleased to announce the release of SMTK. 22.02. Its major improvements include the following: Improvements to the SMTK’s Attribute Resource The Ability to Control Category Inheritance in Attribute Definitions Previously, a derived attribute definition would inherit all of the categories related to its base definition. Any categories imposed by the derived definition would […]

On behalf of the Pulse Physiology Community, we are pleased to announce that version 4.1 is now available. We have continued to assist companies, universities, and government agencies to integrate Pulse into their projects and product goals. We worked with these users to improve models and functionality for their needs. The 4.1 version release includes […]

This article describes two recent developments concerning the integration of Deep-learning techniques in ParaView. First, ParaView has been adapted to visualize the results produced by a deep-learning-based surrogate model in real time. Next, Catalyst has been used to monitor the training process of this model. Context A surrogate model (of a numerical simulation) approximates a […]

Kitware is excited to introduce a new extension, SlicerPipelines, that allows the creation and use of simple modules in 3D Slicer without coding. This extension was developed as part of SlicerSALT and has been added to the Slicer Extensions Index for the open source community to use.  What is a Pipeline? We define a pipeline […]

Kitware’s Data and Analytics Team is building an open source software platform called OASIS, Open source AI Software Infrastructure for Science, for researchers in the scientific domain. OASIS provides a data API to ingest and serve scientific data formats and annotations within AI workflows. It delivers a unique integration of features such as coupling of […]

CMake 3.22.2 is now available for download

Kitware’s Scientific Computing Team is looking forward to another year of groundbreaking technical advances. Building off of the success our world class open source platforms VTK and ParaView, we will be introducing new capabilities that dramatically increase performance and ease of use; significantly improve end-to-end workflows for large-scale simulation and experimental science; support ongoing advances […]

Context When deploying ParaView in an HPC environment, once all the technical requirements are met, everything is working perfectly and users start to try and use ParaView for actual data post-processing, one of the first questions that may come to mind is how many cores and nodes should be used by ParaView servers ? This […]

As indicated by our progress during 2021 on our NIH "VTK Innovation" R01 grant, we see 2022 as the year of VR/AR and AI for VTK and VTK.js.

Major changes made since ParaView 5.9.1 are listed in this document. The full list of issues addressed by this release is available here. New features Rendering enhancements Plugin updates Filter changes Readers, writers, and filters changes Interface improvements Python scripting improvements Virtual reality improvements Miscellaneous bug fixes and updates Catalyst Cinema Developer notes New features […]

Introduction NetCDF (Network Common Data Form) is a set of libraries and data formats that support creating, accessing, and sharing array-oriented scientific data. The CF Conventions of NetCDF describe what each variable represents in the file, along with the spatial and temporal properties of the data. Initially, the scientific community developed CF Conventions for gridded data produced by […]

CMake 3.22.1 is now available for download

This is the third part of a series of blog articles about vtkHyperTreeGrid usage and implementation in VTK. The first part, an introduction about HTG, can be found here, the second part, HTG data construction, can be found here, the fourth part, HTG: Specific Filters, can be found here, the fifth part, HTG: Cursors and […]

We are happy to announce the Insight Toolkit (ITK) 5.3 Release Candidate 2 is available for testing! ITK is an open-source, cross-platform toolkit for N-dimensional scientific image processing, segmentation, and registration. ITK 5.3 is a feature release that accelerates performance, provides new segmentation and shape analysis algorithms, and makes over 200 more improvements. For more […]

The major improvements under this release can be grouped into the following areas: Making it easier to debug Observers Expanding Attribute Resource’s Query Grammar New View for displaying Resource Components and their associated Attributes Improving qtAssociation2ColumnWidget’s Operation Hander Support for String Tokens Dynamic Initialization in Plugins Debugging Observers In the previous version of SMTK, turning […]

Members of Kitware’s Scientific Computing Team and our collaborators at the the National Center for Electron Microscopy (NCEM) have been working on a Phase I SBIR project funded by the Department of Energy (DOE) to develop a prototype platform for reproducible electron microscopy (EM) data analysis. This article will provide the motivation for the project, […]

Kitware is deeply engaged in the medical imaging research and clinical communities, as demonstrated by our many contributions to the 24th annual international conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI 2021). MONAI Bootcamp: Stephen Aylward, Ph.D., Senior Director of Strategic Initiatives at Kitware, gave the introductory talk “What is MONAI? Overview and Related […]