AI Grain Size Analysis Without Compromise

Traditional grain size analysis are time-consuming, subjective and are often based on standard series comparisons, which provide estimates rather than reliable results.

Our AI grain size analysis achieves high-quality and objective results within seconds. By integrating with the Imagic IMS software, you retain data sovereignty at all times.

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Benefits at a glance

Broad field of application
Suitable for steel, aluminum, nickel, copper and ceramics.
Saving time
Reliable results in just a few seconds.
Objective results
Consistent quality can be reproduced at any time.
Data sovereignty
Images and results data never leave your company.
Seamless integration
AI grain size analysis is seamlessly integrated into Imagic IMS software.
Expert voices

Practical experience

“Thanks to the close cooperation between Imagic and MECS As an on-premises solution in Imagic IMS, AI-based grain size analysis sets new standards in materialography. It is the first model in a series of AI-based structural analysis modules, which will also create practical added value in other areas in the future.”

Professor of Functional Materials at the University
of Saarland

“The new AI-based grain size analysis enables us to precisely and objectively evaluate microstructural features. This increases efficiency and reproducibility, a milestone for research and industrial applications.”

Dipl.-Ing. Michael Engstler

DGM Section Chair for Materialography

materials

What challenges can we solve for you?

Our AI analysis detects grain boundaries precisely and reproducibly, even in complex microstructures.

Ferrite grains in dual-phase steel
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After
Austenite grains with consolidated twin boundaries
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After
Austenite grains in a mixed bainitic-martensitic structure
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After
Austenite grains in a martensitic structure
Before
After

Try us out!

You are also welcome to do so with your own samples.

FAQ

Questions and answers

What is AI-based grain size analysis in Imagic IMS?

The integrated AI module in Imagic IMS automatically analysis microstructures and provides precise results, regardless of image source, preparation quality or user.

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What is the added value of AI?

You save time on routine activities, get reproducible results and relieve your specialist staff. This leaves more room for interpretation and strategic decisions.

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How reliable are the results?

The AI was trained on the basis of diverse data sets and reliably delivers high-quality results. Thanks to the “human-in-the-loop” principle, the professional user also has full control and plausibility checks.

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Are standards supported?

Yes The evaluations are based on DIN EN ISO and ASTM standards and can be easily integrated into existing QM processes.

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