EU

M&M 2025

July 3, 2025
Example of multivariate volume visualization of a mixed ionic electronic conductor (MIEC) imaged using x-ray fluorescence microscopy. The ionic conductor phase, which is high in cerium, can be seen in light blue. The electronic phase, which is high in iron and cobalt, can be seen in yellow. And the emergent phases, which are high in gadolinium, can be seen in purple.

July 27-31, 2025 in Salt Lake City, Utah

The Microscopy & Microanalysis (M&M) 2025 conference brings together leading experts in imaging, analysis, and instrumentation across the biological and physical sciences. As microscopy workflows grow more complex and data-intensive, the need for flexible, scalable, and intelligent software solutions has never been greater.

That’s where Kitware can help! We’re excited to exhibit at M&M 2025 and share how our technical teams partner with organizations to overcome the imaging and analysis challenges that often surface in high-throughput and high-resolution microscopy environments.

Tackling the Toughest Challenges in Imaging Science

Whether you’re handling terabytes of 4D STEM data or reconstructing tomographic volumes at the nanoscale, M&M attendees know that great science demands more than just great instrumentation—it requires the right software.

Web-based Applications for Scientific Visualization and Analysis

We help researchers and developers create interactive, web-based applications for scientific visualization and analysis, without the overhead of traditional web development. By leveraging Python as a single language for both client and server logic, we streamline the development of rich, responsive interfaces that encompass everything from 2D/3D rendering windows to interactive widgets, such as sliders, buttons, and drop-down menus.

Our approach simplifies the process of building visualization pipelines that support data exploration, analysis, and even AI model training and inference. Because these applications are written entirely in Python, they integrate seamlessly with a wide array of open-source scientific libraries and can be deployed flexibly across desktop, web, Jupyter, and HPC environments.

Whether you’re building custom tools for your research group or delivering large-scale interactive dashboards, our solutions support fast iteration and reproducibility—helping you focus on the science, not the infrastructure.

Multivariate Volume Visualization and Analysis

Detailed analysis of nanoscale imaging data plays an important role in guiding future experiments and successful scientific discoveries. However, increasing complexity and production of nanoscale imaging data have made this analysis more difficult, and, in some situations, infeasible. Multivariate volumetric data, which contains more than one channel per voxel, has become increasingly prevalent in important industries such as battery technology. Due to its multidimensional nature, however, multivariate data is complex and usually requires substantial human effort to analyze. Oftentimes, each channel is visualized separately and individually. However, this does not reveal the complex yet frequently important interactions between the channels.

The open source prototype MultivariateView was developed to solve many of these challenges. Funded by a DOE Phase I SBIR and based on the RadVolViz application, we built several prototypes and explored new techniques to visualize and analyze many channels in volumetric data simultaneously.

In our presentation, we will demonstrate the current status of our research efforts, as well as new developments planned for the next two years.

Example of multivariate volume visualization of a mixed ionic electronic conductor (MIEC) imaged using x-ray fluorescence microscopy. The ionic conductor phase, which is high in cerium, can be seen in light blue. The electronic phase, which is high in iron and cobalt, can be seen in yellow. And the emergent phases, which are high in gadolinium, can be seen in purple.
Example of multivariate volume visualization of a mixed ionic electronic conductor (MIEC) imaged using x-ray fluorescence microscopy. The ionic conductor phase, which is high in cerium, can be seen in light blue. The electronic phase, which is high in iron and cobalt, can be seen in yellow. And the emergent phases, which are high in gadolinium, can be seen in purple.
Interactively dragging a lens around the radial colormap produces an exclusive display of voxels that fall within the lens region. This enables the separate phases within the MIEC to be independently visualized.
Interactively dragging a lens around the radial colormap produces an exclusive display of voxels that fall within the lens region. This enables the separate phases within the MIEC to be independently visualized.

Multivariate Volume Data: Advances in Visualization and Analysis Techniques
Presenter: Patrick Avery, Ph.D. Staff R&D Engineer
Wednesday July 30, 2025
11:30 AM – 11:45 AM

Many M&M attendees are pushing the boundaries of what’s possible in imaging—and we’re here to help them do it faster. Whether you’re developing a new pipeline for correlative microscopy or visualizing multi-dimensional datasets, our engineers can:

  • Customize analysis pipelines and visualization tools
  • Integrate new algorithms into existing platforms
  • Build browser-based GUIs for accessible research tools

Visit Kitware at Booth 2142

Throughout the week, we’ll be demonstrating how our technical capabilities align with the needs of microscopy professionals:

  • New developments in multivariate visualization and analysis techniques using multivariate-view
  • Tomography workflows built with Tomviz
  • Interactive analysis tools developed using trame

These platforms are open source, so they can be adapted and extended to help you meet your scientific and technical goals. Let’s talk about how we can collaborate:

✅ Visit our booth (#2142) to speak with our team
✅ Contact us to schedule a meeting
✅ Tell us about your biggest imaging challenges—we’ll help you solve them!

Tags:
ConferenceImaging ScienceM&M

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