A novel backlight fiber optical probe and image algorithms for real time size-shape analysis during crystallization

Chemical Engineering Science

Volumn 149, Issue , 2016, Pages 42-50

  El Arnaout, Toufic ^a   Cullen, P J ^a,b   Sullivan, Carl ^a  

^a DUBLIN INSTITUTE OF TECHNOLOGY   (Ireland)

^b UNIVERSITY OF NEW SOUTH WALES   (Australia)

Author keywords

Crystallization; Image analysis; Image processing; In line technology; Particle size and shape; Process Analytical Technology (PAT)

Indexed keywords

ALGORITHMS; AMINO ACIDS; CRYSTALLIZATION; DATA HANDLING; IMAGE PROCESSING; OPTICAL DATA PROCESSING; PARTICLE SIZE; PARTICLE SIZE ANALYSIS; PROBES;

BACKGROUND CORRECTION; BACKLIGHT ILLUMINATION; CONTROL OF CRYSTALLIZATION; CRYSTAL SIZE AND SHAPE; IMAGE ANALYSIS ALGORITHMS; INTENSITY VARIATIONS; PARTICLE SIZE AND SHAPE; PROCESS ANALYTICAL TECHNOLOGY;

IMAGE ANALYSIS;

EID: 84963614543     PISSN: 00092509     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ces.2016.04.025     Document Type: Article

References (39)

1. Beucher S. The watershed transformation applied to image segmentation. Scanning Microsc. Int. 1991, 299-314.
2. Bieniek A., Moga A. An efficient watershed algorithm based on connected components. Pattern Recognit. 2000, 33:907-916.
3. Burton W.K., Cabrera N., Frank F.C. The Growth of Crystals and the Equilibrium Structure of their Surfaces 1951.
4. Calderon De Anda J., Wang X.Z., Roberts K.J. Multi-scale segmentation image analysis for the in-process monitoring of particle shape with batch crystallisers. Chem. Eng. Sci. 2005, 60:1053-1065.
5. CANNY, J., 1986. A Computational Approach to Edge Detection. Pattern Analysis and Machine Intelligence, IEEE Transactions on, PAMI-8, pp. 679-698.
6. Chernov A.A. The spiral growth of crystals. Soviet Phys. Uspekhi 1961, 4:116.
7. De Yoreo J.J., Vekilov P.G. Principles of Crystal Nucleation and Growth. Rev. Mineral. Geochem. 2003, 54:57-93.
8. Egmont-Petersen M., De Ridder D., Handels H. Image processing with neural networks-a review. Pattern Recognit. 2002, 35:2279-2301.
9. Freixenet J., Muñoz X., Raba D., Martí J., Cufí X. Yet another survey on image segmentation: region and boundary information integration. Computer Vision - ECCV 2002, 2002. Springer, Berlin Heidelberg. A. Heyden, G. Sparr, M. Nielsen, P. Johansen (Eds.).
10. Garside J., Mersmann A., Nývlt J., Engineers I.O.C., Crystallization E.F.O.C.E.W.P.O. Measurement of Crystal Growth and Nucleation Rates 2002, Institution of Chemical Engineers.
11. Heffels C., Willemse A., Scarlett B. Possibilities of near backward light scattering for characterizing dense particle systems. Powder Technol. 1996, 86:127-135.
12. Hermanto M.W., Chiu M.-S., Woo X.-Y., Braatz R.D. Robust optimal control of polymorphic transformation in batch crystallization. AIChE J. 2007, 53:2643-2650.
13. Hermanto M.W., Kee N.C., Tan R.B.H., Chiu M.-S., Braatz R.D. Robust Bayesian estimation of kinetics for the polymorphic transformation of l-glutamic acid crystals. AIChE J. 2008, 54:3248-3259.
14. Jiang M., Zhu X., Molaro M.C., Rasche M.L., Zhang H., Chadwick K., Raimondo D.M., Kim K.-K.K., Zhou L., Zhu Z., Wong M.H., O'Grady D., Hebrault D., Tedesco J., Braatz R.D. Modification of crystal shape through deep temperature cycling. Indus. Eng. Chem. Res. 2014, 53:5325-5336.
15. Keller C.A. Rolling Ball Background Subtraction 2007, University of Michigan.
16. Kempkes M., Eggers J., Mazzotti M. Measurement of particle size and shape by FBRM and in situ microscopy. Chem. Eng. Sci. 2008, 63:4656-4675.
17. Larsen P.A., Rawlings J.B., Ferrier N.J. An algorithm for analyzing noisy, in situ images of high-aspect-ratio crystals to monitor particle size distribution. Chem. Eng. Sci. 2006, 61:5236-5248.
18. Larsen P.A., Rawlings J.B., Ferrier N.J. Model-based object recognition to measure crystal size and shape distributions from in situ video images. Chem. Eng. Sci. 2007, 62:1430-1441.
19. Li R.F., Penchev R., Ramachandran V., Roberts K.J., Wang X.Z., Tweedie R.J., Prior A., Gerritsen J.W., Hugen F.M. Particle Shape Characterisation via Image Analysis: from laboratory studies to in-process measurements using an in situ particle viewer system. Org. Process Res. Dev. 2008, 12:837-849.
20. Ma D.L., Tafti D.K., Braatz R.D. Optimal control and simulation of multidimensional crystallization processes. Comput. Chem. Eng. 2002, 26:1103-1116.
21. Ma Z., Merkus H.G., Scarlett B. Extending laser diffraction for particle shape characterization: technical aspects and application. Powder Technol. 2001, 118:180-187.
22. Marr D., Hildreth E. Theory of Edge Detection 1980.
23. Mesbah, A., Streif, S., Findeisen, R., Braatz, R.D. Stochastic nonlinear model predictive control with probabilistic constraints. American Control Conference (ACC), 4-6 June 2014, 2014. pp. 2413-2419.
24. Mullin J.W. Crystallization 2001, Elsevier Science.
25. Nagy Z.K., Braatz R.D. advances and new directions in crystallization control. Annu. Rev. Chem. Biomol. Eng. 2012, 3:55-75.
26. Nagy Z.K., Aamir E., Rielly C.D. Internal fines removal using population balance model based control of crystal size distribution under dissolution, growth and nucleation mechanisms. Cryst. Growth Des. 2011, 11:2205-2219.
27. Nagy Z.K., Fujiwara M., Woo X.Y., Braatz R.D. Determination of the kinetic parameters for the crystallization of paracetamol from water using metastable zone width experiments. Indus. Eng. Chemistry Res. 2008, 47:1245-1252.
28. Patience D.B. Crystal Engineering Through Particle Size and Shape Monitoring, Modeling, and Control 2002, c2002.
29. Patience D.B., Rawlings J.B. Particle-shape monitoring and control in crystallization processes. AIChE J. 2001, 47:2125-2130.
30. Puel F., Févotte G., Klein J.P. Simulation and analysis of industrial crystallization processes through multidimensional population balance equations. Part 1: a resolution algorithm based on the method of classes. Chem. Eng. Sci. 2003, 58:3715-3727.
31. Schöll J., Bonalumi D., Vicum L., Mazzotti M., Müller M. In Situ Monitoring and Modeling of the Solvent-Mediated Polymorphic Transformation of L-Glutamic Acid. Cryst. Growth Design 2006, 6:881-891.
32. Schindelin J., Arganda-Carreras I., Frise E., Kaynig V., Longair M., Pietzsch T., Preibisch S., Rueden C., Saalfeld S., Schmid B., Tinevez J.-Y., White D.J., Hartenstein V., Eliceiri K., Tomancak P., Cardona A. Fiji: an open-source platform for biological-image analysis. Nat. Meth. 2012, 9:676-682.
33. Schneider C.A., Rasband W.S., Eliceiri K.W. NIH Image to ImageJ: 25 years of image analysis. Nat. Meth. 2012, 9:671-675.
34. Schorsch S., Hours J.-H., Vetter T., Mazzotti M., Jones C.N. An optimization-based approach to extract faceted crystal shapes from stereoscopic images. Comput. Chem. Eng. 2015, 75:171-183.
35. Simon L.L., Nagy Z.K., Hungerbuhler K. Endoscopy-based in situ bulk video imaging of batch crystallization processes. Org. Process Res. Dev. 2009, 13:1254-1261.
36. Sternberg S.R. Biomedical Image Processing. Computer 1983, 16:22-34.
37. Wu J.X., Xia D., Van Den Berg F., Amigo J.M., Rades T., Yang M., Rantanen J. A novel image analysis methodology for online monitoring of nucleation and crystal growth during solid state phase transformations. Int. J. Pharm. 2012, 433:60-70.
38. Yamamoto H., Matsuyama T., Wada M. Shape distinction of particulate materials by laser diffraction pattern analysis. Powder Technol. 2002, 122:205-211.
39. Zheng, S.J., Sadeep; Romera-Paredes, Bernardino; Vineet, Vibhav; Su, Zhizhong; Du, Dalong; Huang, Chang; Torr, Philip H. S. 2015. Conditional Random Fields as Recurrent Neural Networks. ArXiv e-prints.