Product novelty 10. April 2026
Intelligent Image Analysis for Grain Size and Layer Measurement
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Reliable grain size analysis even for complex microstructures using AI.
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Reliable layer measurement even for complex layer systems using AI
Our AI-powered solutions enable precise and efficient analysis of metallographic samples, with a strong focus on grain size analysis and layer measurement.
In grain size analysis, MiViA supports both standard and advanced applications, including the reliable evaluation of color-etched microstructures as well as twin structures. Particularly when dealing with complex microstructures, such as multiphase materials, highly variable grain size distributions, irregular grain shapes, or overlapping twin and phase boundaries, conventional analysis methods often reach their limits. MiViA automatically detects and differentiates these features, enabling reproducible and objective results – even in cases of challenging image contrast or non-uniform etching.
In the field of layer measurement, our solutions cover a wide range of applications: from the determination of compound layers to the precise analysis of decarburization. Automated evaluation ensures consistent results while significantly reducing manual effort.
The result: faster analyses, improved comparability, and more reliable decision-making in material evaluation.
In grain size analysis, MiViA supports both standard and advanced applications, including the reliable evaluation of color-etched microstructures as well as twin structures. Particularly when dealing with complex microstructures, such as multiphase materials, highly variable grain size distributions, irregular grain shapes, or overlapping twin and phase boundaries, conventional analysis methods often reach their limits. MiViA automatically detects and differentiates these features, enabling reproducible and objective results – even in cases of challenging image contrast or non-uniform etching.
In the field of layer measurement, our solutions cover a wide range of applications: from the determination of compound layers to the precise analysis of decarburization. Automated evaluation ensures consistent results while significantly reducing manual effort.
The result: faster analyses, improved comparability, and more reliable decision-making in material evaluation.
