Automated dynamic image analysis for particle size and shape classification in three dimensions

OCULAR is an innovative hardware and software solution for 3D dynamic image analysis of fine particles. Current state-of-the-art instruments for dynamic image analysis are largely limited to 2D imaging. However, extensive literature has demonstrated that relying on a single 2D projection for particle characterisation can lead to inaccuracies in many applications. Existing 3D imaging technologies, such as µCT and laser scanning, are limited to static objects. These methods are often not statistically representative and come with significant post-processing requirements, as well as the need for specialised imaging and computing resources. OCULAR addresses these challenges by providing a cost-effective solution for imaging continuous particle streams using a synchronised array of optical cameras. Particle size and shape characterisation is achieved through the reconstruction of their 3D surfaces. This contribution details the OCULAR methodology, evaluates its reproducibility, and compares its results against commonly used laser diffraction and X-ray µCT, highlighting its potential for efficient and reliable particle analysis.