Material’s properties are strongly linked to its microstructure, such as grain size, porosity, phase and non-metallic inclusions. Light microscopy is a powerful tool for evaluating a material’s microstructure. But extracting meaningful results using traditional image analysis can be challenging, especially for new materials or materials with multiple phases. For instance, magnetic materials being developed for use in electric motors consist of complex structures. Segmentation of these structures in different phases can prove difficult with traditional image analysis techniques.
This webinar introduces a comprehensive solution for microstructure analysis and presents standardized techniques for metallography investigation.
- How machine learning-based algorithms can be utilized to segment challenging images and help characterize functional materials and advanced metals
- What is important when choosing a microscope for metallography
- What the challenges are in characterizing new materials with multiple phases
- How to overcome these challenges with machine learning tools
Introduce ease of operation into your microscopy workflow - Axio Imager 2 ensures accurate and reproducible results from quality control and process control. Axio Imager 2 features brilliant optics and homogeneous illumination. The contrast manager and light manager ensure defined conditions and reproducible results at all times. Use ACR to automatically detect and configure objectives and contrast modules for Axio Imager.Z2m.