An algorithm for analyzing noisy, in situ images of high-aspect-ratio crystals to monitor particle size distribution

被引：90
作者：
Larsen, P. A.
Rawlings, J. B.
Ferrier, N. J.
机构：
[1] Univ Wisconsin, Dept Chem & Biol Engn, Madison, WI 53706 USA
[2] Univ Wisconsin, Dept Mech Engn, Madison, WI 53706 USA
来源：
CHEMICAL ENGINEERING SCIENCE | 2006年 / 61卷 / 16期
关键词：
crystallization; image analysis; imaging; morphology; pharmaceuticals; process monitoring;
D O I：
10.1016/j.ces.2006.03.035
中图分类号：
TQ [化学工业];
学科分类号：
0817 ;
摘要：
An image analysis algorithm for extracting particle size distribution information from in situ images of suspended, high-aspect-ratio crystals is described. The accuracy of the algorithm is assessed using comparisons with results obtained by manually sizing the imaged crystals. The algorithm can accurately extract crystal size information from in situ images of suspended, high-aspect-ratio crystals for moderate solids concentrations. The algorithm's performance declines somewhat for high solids concentrations and high levels of particle attrition. The speed with which the algorithm analyzes the images is suitable for real-time monitoring and control of particle size distribution mean and variance. (c) 2006 Elsevier Ltd. All rights reserved.
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页码：5236 / 5248
页数：13
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