Multi-scale segmentation image analysis for the in-process monitoring of particle shape with batch crystallisers
Multi-scale segmentation image analysis for the in-process monitoring of particle shape with batch crystallisers
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DOI：
10.1016/j.ces.2004.09.068
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发表时间：
2005-02-01
影响因子：
4.7
通讯作者：
Roberts, KJ
中科院分区：
文献类型：
--
作者：
De Anda, JC;Wang, XZ;Roberts, KJ
药物晶体的形态和习性是重要的性质，其可受到操作条件（例如冷却速率和过饱和度）的微小变化的影响。因此，制药工业需要在线技术，实时测量结晶器中这些性质的动态变化。在线成像代表了一种潜在的强大的技术，用于在晶体生长过程中实时监测形态形式，但一个主要的挑战是图像分析方法的可用性，需要容忍在线图像的质量，准确，快速和鲁棒性。本文介绍了一种多尺度分割方法，用于分析（L）-谷氨酸的批量冷却结晶使用的在线高速成像系统开发的制药商葛兰素史克公司的图像。该方法能有效地分析不同晶型、不同质量的在线图像。从不同的在线成像探头和离线浆料样品成像系统的图像分析的方法的应用证明了该方法的泛化能力。(C)2004爱思唯尔有限公司保留所有权利。
The morphological forms and habits of pharmaceutical crystals are important properties that can be affected by minor changes in operating conditions such as cooling rates and supersaturation. As a result the pharmaceutical industry demands on-line techniques for real-time measurement of the dynamic changes of these properties in crystallisers. 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. Application of the methodology to the analysis of images from a different on-line imaging probe and from an off-line slurry sample imaging system demonstrated the capability of generalisation of the method. (C) 2004 Elsevier Ltd. All rights reserved.