Automation is transforming the way atom probe tomography (APT) experiments are conducted. By streamlining acquisition workflows, researchers can improve specimen yield, accelerate time-to-knowledge, and unlock larger, more ambitious experimental studies.
In this webinar, Dr. Katherine Rice demonstrates how commercially available generative AI tools can be used to simplify the development and customization of APT acquisition scripts within CAMECA's AP Suite software. Traditionally, implementing advanced automation strategies often required significant programming expertise. AI-assisted code generation now offers a more accessible approach, enabling users to create and modify sophisticated acquisition workflows with reduced coding effort.
Through practical case studies, Dr. Rice will illustrate how AI can support advanced designs of experiments, optimize acquisition parameters, and improve specimen yield, particularly when analyzing challenging interfaces. These examples showcase how researchers can leverage automation to increase efficiency and focus more time on scientific interpretation rather than software development. Dr. Rice will be joined by Lead Developer Gard Groth for the live Q&A session immediately following the webinar.
▶️ "AI-Assisted Automated Acquisition Control for Atom Probe Tomography"
📅 September 08, 2026 - 10 AM CDT (US) - 5 PM CET (Paris)
⭐ Key learnings will include:
- Use generative AI to create and modify APT acquisition scripts with less coding effort.
- Implement advanced automation workflows in AP Suite more efficiently.
- Optimize acquisition conditions to improve specimen yield.
- Accelerate experiment development through AI-assisted workflow optimization.
- Learn from real-world examples of AI-driven automation in atom probe tomography.
|
🎙️ About the speakers:
Dr. Katherine Rice is Applications and Market Development Manager for Atom Probe Tomography at CAMECA in Madison, Wisconsin. In her role, she supports customers and internal teams through scientific communication, training, workflow development, and identification of emerging opportunities for atom probe across materials research. She received her PhD in Chemical Engineering from the University of Colorado Boulder and completed an NRC postdoctoral appointment at NIST in Boulder. Her technical background spans atom probe tomography, transmission EBSD, and nanoparticle synthesis, with a focus on translating advanced characterization capabilities into practical solutions for researchers and industry. Katie loves speaking with customers about their materials science work and challenges.
Gard Groth is a Lead Software Developer at CAMECA, where he brings a passion for innovative, practical software solutions to complex technical challenges. He graduated with a degree in Electrical and Computer Engineering from the University of Wisconsin–Madison and has been an integral part of CAMECA since 2017. His areas of interest include machine vision, automation, scripting, and automated analysis; technologies he draws on to streamline workflows and improve the user experience for atom probe. |