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Particle size reduction is a routine method of increasing surface area and making downstream processing more efficient. It is well documented that particle size distribution (PSD) affects powder flowability. However, studies have demonstrated the limitations of particle size analysis – particularly in applications with irregular particles. Ignoring particle shape can lead to significant under-estimation of the mean particle size which leads to errors in PSD results.

Particle size is a critical factor in qualifying abrasive powders. Larger particles typically produce an aggressive cutting action with fast material removal rates, albeit with a poor surface finish. Smaller particles, by contrast, offer a smoother finish with significantly reduced rates of removal.

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.