Crystal growth cell incorporating automated image analysis enabling measurement of facet specific crystal growth rates
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Author (Corporation)
Publication date
15.12.2021
Type of student thesis
Course of study
Type
01A - Journal article
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Parent work
Crystal Growth & Design
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Volume
22
Issue / Number
5
Pages / Duration
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Publisher / Publishing institution
American Chemical Society
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Abstract
We present an automated method for measuring facet specific growth rates by combining a crystal growth flow cell with image processing. This paper details the design of the growth cell and its advantages over previous models. The method of image processing utilizes a Hough transform to identify crystal facets, ultimately leading to facet specific growth rate measurements. Finally, experimental results are presented for facet specific growth rates of α-glycine crystals and compared to previous data.
Keywords
Crystal structure, Crystallization, Crystals, Solution chemistry, Supersaturation
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ISBN
ISSN
1528-7483
1528-7505
1528-7505
Language
English
Created during FHNW affiliation
No
Strategic action fields FHNW
Publication status
Published
Review
peer-reviewed
Open access category
Closed
License
Citation
Offiler, C. A., Cruz-Cabeza, A. J., Davey, R. J., & Vetter, T. (2021). Crystal growth cell incorporating automated image analysis enabling measurement of facet specific crystal growth rates. Crystal Growth & Design, 22(5). https://doi.org/10.1021/acs.cgd.1c01019