Those seeking a structured understanding of particle size measurement fundamentals
(new engineers, researchers, QC/QA personnel)Professionals aiming to leverage particle size data to enhance product quality and process stability
Engineers and scientists in industries such as pharmaceuticals, chemicals, food, and battery materials
Teams evaluating or optimizing particle measurement methods for laboratory or production environments
Professionals working on quality prediction models, scale‑up challenges, or data-driven manufacturing
Choosing Particle Size Analysis Methods: Features, Limitations, and Selection Criteria
Choosing Particle Size Analysis Methods: Features, Limitations, and Selection Criteria
11 June 2026 | 14:00 - 14:30 SGT(UTC+8) | Virtual
About This Webinar
Particle size analysis is a critical component in quality control, formulation design, and process optimization across industries such as pharmaceuticals, chemicals, food, and advanced materials. Because no single analytical technique can universally address all particle characteristics, selecting an appropriate measurement method requires a clear understanding of each technique’s capabilities and constraints. This webinar session provides a comparative overview of key particle size analysis methodologies—including laser diffraction, dynamic light scattering (DLS), imaging analysis, and sieve techniques-highlighting their operational principles, measurable size ranges, data outputs, and practical advantages. This webinar series will be delivered across five sessions. We invite participants from diverse backgrounds and encourage active interaction through questions and discussions during each session. We look forward to having you with us—please register at your earliest convenience. Please note that participation from competing organizations is respectfully declined. We appreciate your understanding.
This webinar is suitable for
This webinar is designed for professionals who are involved in particle characterization, quality control, or process optimization, including:
Whether you're new to particle characterization or looking to deepen your application knowledge, this session will provide valuable insights.
