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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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Oral Solid Dosage (OSD) forms still represent a significant share of the pharmaceutical market. As a result, they remain an important target for generic product developers. In this white paper we introduce a workflow for OSD product deformulation and...
The instrumentation used to characterize particles by imaging techniques can be broadly categorized into either static or dynamic based systems. Find out about morphological imaging and whether static or dynamic imaging is best for your ...
En este webinar, el primero de una serie, se presentaran los conceptos básicos de análisis de imágenes. Se cubriran los parámetros de medicion y cómo dicha información puede ser relacionada a problemas reales. La forma de una partícula puede afectar ...
Bacteria fibers are typically monitored with manual microscopy to better understand the effect of environmental factors on their growth. Here, bacteria fibers taken at different times are automatically characterised on the Morphologi G3. Fiber parame...
Getting a sample to a stable and reproducible state of dispersion is an important part of method development when carrying out particle size analysis. In this application note we show how the Mastersizer’s Hydro Sight accessory can be used to visuali...
(Webinar - Recorded)
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