Easily Find a Needle in a Haystack: Effective Analysis of Data in Dynamic Image Analysis
Aside from size, the shape of particles often plays a key role in properties and processing behavior of powdered products. Particles with irregular shapes such as fibers, flakes or cuboids often require special attention in particle analysis as they may have a critical impact on both properties and processing parameters of a product.
This webinar will present efficient techniques focusing on how to use filters to efficiently analyze large datasets coming from dynamic image analysis and how to extract key information.
The webinar will cover the following topics:
- size analysis
- shape analysis
- improving the quality of datasets
- detection of outliers i.e. oversize, undersize
- exclusions of overlapping particles
- recalculation for sieve analysis
Dr. Mateusz Skalon works as a product manager for Particle Characterization and Surface Charge department at Anton Paar. He graduated in Materials Engineering / Powder Metallurgy at the Cracow University of Technology, Poland and earned a PhD in Powder Metallurgy before Joining Anton Paar.
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