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Particle size has long been a key parameter in material characterization, but size alone does not always tell the full story. Particle shape can provide critical additional insight into how materials behave, perform, and remain consistent across abrasives, agriculture, and additive manufacturing.
In this webinar, you will learn the core principles of DIA and explore how BeVision D3, dynamic image analyzer enables fast, accurate measurement of both particle size and shape across large sample populations. How it compares with traditional particle sizing methods, and where it can add greater detail to routine particle characterization.
We will also find practical approaches for moving beyond conventional sieve analysis and using dynamic image analysis to streamline day-to-day measurement workflows. Whether you work in R&D or quality assurance, this session will provide practical insights to help you build more efficient, informative, and reliable particle characterization methods.
Join the free webinar with certification of attendance now.
In this webinar, you’ll discover:
- Why Size and Shape Matter: Understand why particle size and shape are important parameters for material characterization in abrasives, agriculture, and additive manufacturing.
- The Principle of Dynamic Image Analysis: Learn how DIA captures and analyzes individual particles to generate detailed size and shape information.
- Efficient Analysis of Large Sample Populations: Discover how to measure particle size and shape distributions quickly and precisely across large numbers of particles with BeVision D3.
- Beyond Traditional Particle Sizing: Explore the advantages of dynamic image analysis compared with conventional particle sizing methods.
- A Modern Alternative to Sieve Analysis: See how DIA can be applied as a practical approach for replacing or complementing sieve analysis in routine particle characterization.
Ideal For:
- R&D scientists and researchers working with abrasives, agricultural materials, or additive manufacturing powders
- QA/QC engineers responsible for particle size, shape, and material consistency
- Particle characterization professionals using sieve analysis or other traditional sizing methods
- Laboratory professionals seeking faster, more detailed particle size and shape measurement workflows
Meet the Webinar Speakers
Beverly Barnum, PhD is a Technology Director at Bettersize Inc. She received her B.S. in Chemistry from California State University and PhD in Inorganic Chemistry from the University of Pennsylvania. Renowned for her analytical expertise and innovative problem-solving, Dr. Barnum brings deep insight into particle characterization technologies.
Cao Jing, MS is a Senior Application Engineer at Bettersize Instruments, holding a master’s degree in Polymer Materials and Engineering from Northwestern Polytechnical University. She specializes in particle size and shape analysis using advanced dynamic image analysis techniques. At Bettersize, she focuses on optimizing particle characterization methods and advancing analytical solutions for the advanced materials industry.