2012
DOI: 10.1002/jps.23126
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Determination of Segregation Tendency of Granules Using Surface Imaging

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Cited by 8 publications
(7 citation statements)
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“…It is important to emphasize here that no attempt were made to determine the full PSD of the granulation products with TA since this task is beyond the scopes of this work. In previous literature works full PSDs of granules have been measured with TA by using static samples under sequential bidirectional lightning (Laitinen et al, 2002;Lakio et al, 2012). The strictly controlled lighting conditions adopted in such works can not be obtained inside the mixer in dynamic conditions so that we limited the study to the use of a simple texture index, the STD, related to particle size in average sense.…”
Section: Resultsmentioning
confidence: 99%
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“…It is important to emphasize here that no attempt were made to determine the full PSD of the granulation products with TA since this task is beyond the scopes of this work. In previous literature works full PSDs of granules have been measured with TA by using static samples under sequential bidirectional lightning (Laitinen et al, 2002;Lakio et al, 2012). The strictly controlled lighting conditions adopted in such works can not be obtained inside the mixer in dynamic conditions so that we limited the study to the use of a simple texture index, the STD, related to particle size in average sense.…”
Section: Resultsmentioning
confidence: 99%
“…Texture analysis (TA) of digital images of the powder bed surface (also known as surface imaging (Lakio et al, 2012)) can be potentially used in this sense. TA is already used in a variety of applications spanning from remote sensing to automated inspection and medical image processing (Russ, 1999;Gonzales et al, 2004).…”
Section: Introductionmentioning
confidence: 99%
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“…In the pharmaceutical field, IA has also received increasing attention and has been applied for evaluating film-coating thickness, morphological properties of particles, powder properties, crystal growth, and granulation processes. [18][19][20][21][22][23][24][25][26] The strength of IA in the context of cake evaluation is that it removes subjectivity, high-labor intensity, and low throughput of the wellestablished expert assessment, while having the potential for using the same visual information.…”
Section: Introductionmentioning
confidence: 99%
“…Segregation can also pose a problem during the tableting process (22,23). It is known to be more pronounced with larger particles such as granules and when the size distribution is broad.…”
Section: Introductionmentioning
confidence: 99%