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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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In the second webinar in the particle size masterclass series, we will follow on from why you need to measure particle size, covered in the first masterclass, by looking at how to measure particle size. We’ll start with considerations for choosing a ...
Particle agglomeration can compromise the clinical efficacy of pharmaceutical products and must therefore be closely controlled. This article provides practical guidance on using automated imaging for efficient agglomerate detection.
In its report ‘Critical Path Opportunities for Generic Drugs’, the FDA emphasizes the need for advances in the field of analytical sciences in order to accelerate the development of generic products. Here, Paul Kippax highlights techniques that are e...
This application note details how Morphologically Directed Raman Spectroscopy (MDRS) using the Morphologi G3-ID can be applied to the forensic identification of commercially sourced white powders commonly used in hoax bio-terrorism powder attacks. It...
Analysis of pollen samples on the Morphologi G3 allows them to be automatically characterized in terms of both particle size and shape, aiding the distinction of different pollen types during the development and testing of immunotherapy or diagnostic...
(Webinar - Recorded)
Particle Size Masterclass 2: which technique is best for me?
(March 19 2015)
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