The ParticleTech Classification algorithm are an efficient tool for distinguishing different particles based on their size, shape, and transparency. A sample can be divided into different classes of objects identified. Examples are single particles vs. agglomerates or amorphous vs. crystalline particles. The classification is easily customised according to the product to be measured. The particle classes are differentiated by colours providing area- or number-based percentages of the different classes based on the total objects identified.

The image below represents a classification of particles in a crystallization process. The green particles are classified as aggregations, the red as free-floating particles and the blue as connected particles.