Particle Size

Particle size analysis is crucial for characterizing materials across diverse fields, from soil science to mineral processing, impacting material properties and process optimization. Current research emphasizes developing automated, high-throughput methods using computer vision and deep learning, employing techniques like instance segmentation and few-shot object detection to analyze images from various sources (e.g., photographs, micro-CT scans). These advancements aim to replace time-consuming traditional methods like sieving, offering faster, more cost-effective, and potentially more accurate particle size determination for improved material characterization and process control.