Assessing Hyperspectral Image Content of Pharmaceutical Products Using the Herfindahl–Hirschman Index and Ripley's K-Functions
Hyperspectral chemical imaging technologies are frequently applied in the pharmaceutical industry to assess the distribution of ingredients in product intermediates and finished products. This article discusses two recognized measures of spatial uniformity in the context of pharmaceuticals. Syntheti...
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Veröffentlicht in: | Applied spectroscopy 2015-08, Vol.69 (8), p.955-965 |
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description | Hyperspectral chemical imaging technologies are frequently applied in the pharmaceutical industry to assess the distribution of ingredients in product intermediates and finished products. This article discusses two recognized measures of spatial uniformity in the context of pharmaceuticals. Synthetic images are used to introduce the utility of Ripley's K-function and the Herfindahl-Hirschman index (HHI) for describing image content. These metrics were applied to a commercial-like product to demonstrate the practical interpretation for product development. The simple approaches presented here offer the possibility of reporting objective measures of intra-tablet compositional uniformity with minimal supervision. |
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The simple approaches presented here offer the possibility of reporting objective measures of intra-tablet compositional uniformity with minimal supervision.</description><subject>Algorithms</subject><subject>Imaging</subject><subject>Ingredients</subject><subject>Models, Chemical</subject><subject>Pharmaceutical Preparations - analysis</subject><subject>Pharmaceutical Preparations - chemistry</subject><subject>Pharmaceuticals</subject><subject>Product development</subject><subject>Spectroscopy</subject><subject>Spectrum Analysis - methods</subject><subject>Utilities</subject><subject>Variability</subject><issn>0003-7028</issn><issn>1943-3530</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2015</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNqNkc9O3DAQxq2qqCx_pD5B5UtVLoFxHDubI1oVdgUSq6qcI8eZsEGJk3ocib3xDrwhT4KBbXvopafRaH7fJ833MfZZwKmQWp-JLIFcK_jAZqLIZCKVhI9sBgAyySGd77MDovu4qkKqT2w_1UJLBdmMPZ4TIVHr7vhyO6KnEW3wpuOr3twhXwwuoAt8aPh6Y3xvLE6htfG-9kM92UD89k0cNsiX6JvW1WbTPT8-LVtPdtMbx1euxgduXM1_tGOH22_Er5KLydnQDo6O2F5jOsLj3Txktxfffy6WyfXN5Wpxfp1YmemQoIIKUoOpsUWeG6XTQksLc6mLLC8aK0z8PzMwrzDVKaApKlHpHOqqBl3JWh6yk3ff0Q-_JqRQ9i1Z7DrjcJioFHmUqblKi_9AIYsJa5X_Ra0fiDw25ejb3vhtKaB8raYUWflWTUS_7Fynqsf6D_i7iwh8fQcoJl_eD5N3MZB_jV4ACyqVWQ</recordid><startdate>201508</startdate><enddate>201508</enddate><creator>Bobiak, John P.</creator><creator>McGeorge, Gary</creator><general>SAGE Publications</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope><scope>7SR</scope><scope>7U5</scope><scope>8BQ</scope><scope>8FD</scope><scope>JG9</scope><scope>L7M</scope></search><sort><creationdate>201508</creationdate><title>Assessing Hyperspectral Image Content of Pharmaceutical Products Using the Herfindahl–Hirschman Index and Ripley's K-Functions</title><author>Bobiak, John P. ; McGeorge, Gary</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c346t-e50b02ae2ac977a562963c08369479fc1a7654a08be2620ea9b1b670dbd06b3d3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2015</creationdate><topic>Algorithms</topic><topic>Imaging</topic><topic>Ingredients</topic><topic>Models, Chemical</topic><topic>Pharmaceutical Preparations - analysis</topic><topic>Pharmaceutical Preparations - chemistry</topic><topic>Pharmaceuticals</topic><topic>Product development</topic><topic>Spectroscopy</topic><topic>Spectrum Analysis - methods</topic><topic>Utilities</topic><topic>Variability</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Bobiak, John P.</creatorcontrib><creatorcontrib>McGeorge, Gary</creatorcontrib><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><collection>Engineered Materials Abstracts</collection><collection>Solid State and Superconductivity Abstracts</collection><collection>METADEX</collection><collection>Technology Research Database</collection><collection>Materials Research Database</collection><collection>Advanced Technologies Database with Aerospace</collection><jtitle>Applied spectroscopy</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Bobiak, John P.</au><au>McGeorge, Gary</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Assessing Hyperspectral Image Content of Pharmaceutical Products Using the Herfindahl–Hirschman Index and Ripley's K-Functions</atitle><jtitle>Applied spectroscopy</jtitle><addtitle>Appl Spectrosc</addtitle><date>2015-08</date><risdate>2015</risdate><volume>69</volume><issue>8</issue><spage>955</spage><epage>965</epage><pages>955-965</pages><issn>0003-7028</issn><eissn>1943-3530</eissn><abstract>Hyperspectral chemical imaging technologies are frequently applied in the pharmaceutical industry to assess the distribution of ingredients in product intermediates and finished products. 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subjects | Algorithms Imaging Ingredients Models, Chemical Pharmaceutical Preparations - analysis Pharmaceutical Preparations - chemistry Pharmaceuticals Product development Spectroscopy Spectrum Analysis - methods Utilities Variability |
title | Assessing Hyperspectral Image Content of Pharmaceutical Products Using the Herfindahl–Hirschman Index and Ripley's K-Functions |
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