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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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For successful sample characterisation by image analysis, as with any other analytical technique, good sample preparation is critical. In this webinar we will discuss best practise in method development and describe a number of dispersion methods for...
The end point of any particle size measurement is to provide improved product or process understanding and/or control. It order to achieve this, it is important that the size specifications selected are relevant to those products or processes. In thi...
This application note describes how fibre parameters within the Morphologi software are calculated and presented, including the Fiber Total Length, Fiber Width, Fiber Elongation and Fiber Straightness.
This presentation introduces the main particle characterization tehniques currently used in industry and academia, the basic theoretical concepts of particle size analysis as well as aspects of its practical application.
A basic guide to particle characterization
Laser diffraction and automated imaging: complementary techniques for nasal spray development
Morphologi Software upgrade from 7.40 (Customer installation)
Introduction to the Morphologi G3-ID
Setting pharmaceutical product specifications for particle size analysis
(March 19 2014)
(Webinar - Live)
(Webinar - Recorded)
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