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Monitoring & feedback control of supersaturation using ATR-FTIR to produce an API
Automation, in-situ monitoring and process analytical technology control tools are implemented to understand and control the crystallization of an active pharmaceutical ingredient in development.
Multi-scale segmentation image analysis for the in-process monitoring of particle shape
On-line imaging represents a potentially powerful technique for real-time monitoring of the morphological forms during crystal growth, but a major challenge is the availability of methods for image analysis that need to be tolerant to the quality of on-line images, accurate, fast and robust. This paper describes a multi-scale segmentation methodology for analysis of images obtained for batch cooling crystallisation of (L)-glutamic acid using an on-line high-speed imaging system developed by the pharmaceutical manufacturer GlaxoSmithKline. The method proves to be able to analyse effectively the on-line images of different crystal morphological forms, and of varied qualities.