Particle analysis is an important field with broad applications in numerous industries. The demand for reliable and accurate particle analysis techniques has led to the development of various automated tools for particle size analysis. These tools report the particle size in terms of equivalent spherical diameter, a necessary representation for irregularly shaped particles.
Sieve correlation has been a well-established method in particle sizing for many years, but the development of automated dynamic image analysis is beginning to revolutionize the process. In this blog post, we will discuss how automated dynamic image analysis is becoming a complementary method to sieve correlation and how it provides more accurate and detailed results.
Material identification is a crucial part of the additive manufacturing process, particularly when dealing with metal powder feedstocks. Although metal powder 3D printing is increasingly common, there are various quality assurance and control (QA/QC) challenges that must be considered.
Stem cells are of particular interest for researchers because they begin as undifferentiated and differentiate into specialized cells over time. Significant research has been carried out on stem cells in recent years, exploring how they can help with therapeutics. Analyzing them with a particle shape and size analyzer can help with this.
