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Automated imaging is a high resolution direct technique for characterizing particles. Individual particle images are captured from dispersed samples and analyzed to determine their particle size, particle shape and other physical properties. Statistically representative distributions can be constructed by measuring 10’s to 100’s of thousands of particles per measurement.
Static imaging systems require a stationary dispersed sample, whereas in dynamic imaging systems the sample flows past the image capture optics. The technique is often used in conjunction with ensemble based particle sizing methods such as laser diffraction to gain a deeper understanding of the sample or to validate the ensemble based measurements. Typical applications include:
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Particle size analysis is important in many industries. Knowledge of particle size is important in the food industry because it affects the production and handling of ingredients and the formulation, processing, and quality control of food and bevera...
The mechanical properties of materials such as concrete, metal powders, and ceramics are governed by how well we can pack the different sizes and shapes of particles together. There are a whole bunch of properties that influence particle packing beha...
This live online demo is designed to get you up close and personal with the Morphologi G3. You will be given an insider's look at the instrument and its accessories via our lab webcam and follow the measurement of typical samples using the Morphologi...
The particle size and size distribution of the Active Pharmaceutical Ingredients (APIs) and excipients present in Oral Solid Dose (OSD) products are often critical to defining product performance. This is recognized by ICH Q6A, which recommends that ...
Thresholding, dilation, erosion, reporting - these are some of the terms used in image analysis. We'll explain some of the mathematics used in converting an image into size and shape information.
(Webinar - Recorded)
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