Microscopic image analysis techniques for the morphological characterization of pharmaceutical particles: Influence of the software, and the factor algorithms used in the shape factor estimation
The present report highlights the difficulties of particle shape characterizations of multiparticulate systems obtained using different image analysis techniques. The report describes and discusses a number of shape factors that are widely used in pharmaceutical research. Using photographs of 16 pel...
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| Veröffentlicht in: | European journal of pharmaceutics and biopharmaceutics 2007-11, Vol.67 (3), p.766-776 |
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| container_title | European journal of pharmaceutics and biopharmaceutics |
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| creator | Almeida-Prieto, Sergio Blanco-Méndez, José Otero-Espinar, Francisco J. |
| description | The present report highlights the difficulties of particle shape characterizations of multiparticulate systems obtained using different image analysis techniques. The report describes and discusses a number of shape factors that are widely used in pharmaceutical research. Using photographs of 16 pellets of different shapes, obtained by extrusion–spheronization, we investigated how shape factor estimates vary depending on method of calculation, and among different software packages. The results obtained indicate that the algorithms used (both for estimation of basic dimensions such as perimeter and maximum diameter, and for estimation of shape factors on the basis of these basic dimensions) have marked influences on the shape factor values obtained. These findings suggest that care is required when comparing results obtained using different image analysis programs. |
| doi_str_mv | 10.1016/j.ejpb.2007.04.001 |
| format | Article |
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The report describes and discusses a number of shape factors that are widely used in pharmaceutical research. Using photographs of 16 pellets of different shapes, obtained by extrusion–spheronization, we investigated how shape factor estimates vary depending on method of calculation, and among different software packages. The results obtained indicate that the algorithms used (both for estimation of basic dimensions such as perimeter and maximum diameter, and for estimation of shape factors on the basis of these basic dimensions) have marked influences on the shape factor values obtained. These findings suggest that care is required when comparing results obtained using different image analysis programs.</description><identifier>ISSN: 0939-6411</identifier><identifier>EISSN: 1873-3441</identifier><identifier>DOI: 10.1016/j.ejpb.2007.04.001</identifier><identifier>PMID: 17499492</identifier><language>eng</language><publisher>Amsterdam: Elsevier B.V</publisher><subject>Algorithms ; Biological and medical sciences ; Chemistry, Pharmaceutical - methods ; Chemistry, Pharmaceutical - standards ; Extrusion ; General pharmacology ; Granulation ; Image analysis ; Image Processing, Computer-Assisted - methods ; Image Processing, Computer-Assisted - standards ; Medical sciences ; Morphology ; Particle Size ; Particulate Matter - standards ; Pellets ; Pharmaceutical technology. Pharmaceutical industry ; Pharmacology. 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The report describes and discusses a number of shape factors that are widely used in pharmaceutical research. Using photographs of 16 pellets of different shapes, obtained by extrusion–spheronization, we investigated how shape factor estimates vary depending on method of calculation, and among different software packages. The results obtained indicate that the algorithms used (both for estimation of basic dimensions such as perimeter and maximum diameter, and for estimation of shape factors on the basis of these basic dimensions) have marked influences on the shape factor values obtained. These findings suggest that care is required when comparing results obtained using different image analysis programs.</description><subject>Algorithms</subject><subject>Biological and medical sciences</subject><subject>Chemistry, Pharmaceutical - methods</subject><subject>Chemistry, Pharmaceutical - standards</subject><subject>Extrusion</subject><subject>General pharmacology</subject><subject>Granulation</subject><subject>Image analysis</subject><subject>Image Processing, Computer-Assisted - methods</subject><subject>Image Processing, Computer-Assisted - standards</subject><subject>Medical sciences</subject><subject>Morphology</subject><subject>Particle Size</subject><subject>Particulate Matter - standards</subject><subject>Pellets</subject><subject>Pharmaceutical technology. Pharmaceutical industry</subject><subject>Pharmacology. 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Pharmaceutical industry</topic><topic>Pharmacology. Drug treatments</topic><topic>Powders</topic><topic>Shape analysis</topic><topic>Software</topic><topic>Spheronization</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Almeida-Prieto, Sergio</creatorcontrib><creatorcontrib>Blanco-Méndez, José</creatorcontrib><creatorcontrib>Otero-Espinar, Francisco J.</creatorcontrib><collection>Pascal-Francis</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><jtitle>European journal of pharmaceutics and biopharmaceutics</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Almeida-Prieto, Sergio</au><au>Blanco-Méndez, José</au><au>Otero-Espinar, Francisco J.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Microscopic image analysis techniques for the morphological characterization of pharmaceutical particles: Influence of the software, and the factor algorithms used in the shape factor estimation</atitle><jtitle>European journal of pharmaceutics and biopharmaceutics</jtitle><addtitle>Eur J Pharm Biopharm</addtitle><date>2007-11-01</date><risdate>2007</risdate><volume>67</volume><issue>3</issue><spage>766</spage><epage>776</epage><pages>766-776</pages><issn>0939-6411</issn><eissn>1873-3441</eissn><abstract>The present report highlights the difficulties of particle shape characterizations of multiparticulate systems obtained using different image analysis techniques. The report describes and discusses a number of shape factors that are widely used in pharmaceutical research. Using photographs of 16 pellets of different shapes, obtained by extrusion–spheronization, we investigated how shape factor estimates vary depending on method of calculation, and among different software packages. The results obtained indicate that the algorithms used (both for estimation of basic dimensions such as perimeter and maximum diameter, and for estimation of shape factors on the basis of these basic dimensions) have marked influences on the shape factor values obtained. These findings suggest that care is required when comparing results obtained using different image analysis programs.</abstract><cop>Amsterdam</cop><pub>Elsevier B.V</pub><pmid>17499492</pmid><doi>10.1016/j.ejpb.2007.04.001</doi><tpages>11</tpages></addata></record> |
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| identifier | ISSN: 0939-6411 |
| ispartof | European journal of pharmaceutics and biopharmaceutics, 2007-11, Vol.67 (3), p.766-776 |
| issn | 0939-6411 1873-3441 |
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| source | MEDLINE; Elsevier ScienceDirect Journals |
| subjects | Algorithms Biological and medical sciences Chemistry, Pharmaceutical - methods Chemistry, Pharmaceutical - standards Extrusion General pharmacology Granulation Image analysis Image Processing, Computer-Assisted - methods Image Processing, Computer-Assisted - standards Medical sciences Morphology Particle Size Particulate Matter - standards Pellets Pharmaceutical technology. Pharmaceutical industry Pharmacology. Drug treatments Powders Shape analysis Software Spheronization |
| title | Microscopic image analysis techniques for the morphological characterization of pharmaceutical particles: Influence of the software, and the factor algorithms used in the shape factor estimation |
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