Realized by integrated AI.

Designing new Materials.

Realized by integrated AI

Discover Artificial Intelligence (AI) for Materials Science Microscopy. As in this opening video, it can help segment and characterize various materials.  
Learn what else it can do, what fellow researchers think about the technology or how they apply it in their daily work in 3 infographics.

  • Learn what AI is used for in materials science microscopy
  • Explore solutions that can help advance your daily research
  • Discover with actual applications what AI can do for you

Artificial Intelligence in Microscopy

The AI Hierarchy

  • Explaining the Difference between AI and Machine Learning

Explore What Fellow Researchers Think About AI in Microscopy

How Can AI Support Materials Science?

Did you ever wonder what challenges and opportunities AI might bring to your field of research?
Explore the results of an industry-wide survey into the current landscape of artificial intelligence (AI) usage in microscopic imaging.

Discover the current challenges in microscopy workflows and learn more about the common reasons why labs are choosing to invest in artificial intelligence in your free copy of an infographic summarizing the results.

DeepReconstruction with AI

Get Inspired

How to Enhance Your 3D X-ray Microscopy

X-ray microscopy (XRM) provides unique 3D non-destructive, high-resolution insights into the microstructure of materials. In research and industry labs there is a demand for higher image quality and faster time to result, particularly in workflows for material design, process development, manufacturing, quality control, and in high-resolution imaging applications.

How Image Segmentation can benefit from AI

Obtain a Deeper Understanding about Your Material

Drive Insight into Materials Research with Machine Learning

Microscopy image segmentation is one of the biggest bottlenecks in quantifying material structure. Traditional microstructure quantification requires manual measurements and can be time-consuming and error-prone.
Learn what benefits are brought to the table with an introduction to machine learning for image segmentation brings to the table.
  

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