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Integrating Multi-Variate Image Analysis and Artificial Intelligence Techniques with Pvm for Inline Crystal Size and Shape Measurements
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Abstract

On-line monitoring of particle shape and size distribution is a challenge in the pharmaceutical and fine chemical industries due to process complexity, the lack of process understanding and adequate in-situ sensors. However, with the advances in real-time imaging hardware, such as video cameras and fiber optics (exemplified by Focused Beam Reflectance Measurement, FBRM and Particle Vision and Measurement, PVM, both from Lasentec) combined with regulatory initiatives such as the US Food and Drug Administration's (FDA) Process Analytical Technology (PAT) program, there is a growing interest in the pharmaceutical and chemical industries as well as the research community to develop advanced in-line control technologies for particulate processes using such advanced imaging sensors.

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