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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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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.
From the humble cereal bowl to the intricate electronic components in your mobile phone and even body armour, ceramics are found in a diverse range of industries and applications. Manufacturing usually involves pressing and then firing powders pre-pr...
These are questions which are often asked about unknown particles in a variety of sample types, such as when developing (bio)pharmaceutical products, or as part of forensic investigations. This short web seminar will introduce you to new ways of usin...
This application note describes the combined use of static optical microscopy and Raman spectroscopy in the Morphologi G3-ID to assess the various morphological classes of carbon for use in lithium-ion battery manufacture. High levels of crystallini...
The combination of static microscopy and Raman spectroscopy in the Morphologi G3-ID enables automated chemical identification of protein aggregates and other contaminants in a biotherapeutic sample, either in suspension via a thin-path wet cell or on...
(Webinar - Recorded)
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