Polymer surface design and infomatics: Facile microscopy/image analysis techniques for self-organizing microporous polymer film characterization

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Abstract

Two methods are presented and exemplified for the characterization of self-organizing microporous polymer film surfaces via optical microscopy/image analysis. The first concerns the distribution of the pore diameters as measured by applying the Gini coefficient, which gives quantification to the degree of irregularity in this distribution while being sensitive to areas of regularity not necessarily present in the whole sample. The second technique, developed specifically for the purpose, quantified virtual light scattering (QVLS), concerns the difficult area of geometrical order in these films, assumed to be approaching hexagonally close-packed (HCP) in most instances. An algorithm is proposed that replicates the previous work of instrument-based light-scattering imaging but via a spatial infomatics analysis, therefore affording quantified parameters of the degree of order or otherwise present in the sample. QVLS is further exemplified by its application to a film-casting stage-temperature study and shows a favorable progression of geometry with stage-temperature reduction (range: 20-5 C).
Original languageEnglish
Pages (from-to)9547 - 9553
Number of pages7
JournalLangmuir: the ACS journal of surfaces and colloids
Volume18
Issue number24
DOIs
Publication statusPublished - 2002
Externally publishedYes

Cite this

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title = "Polymer surface design and infomatics: Facile microscopy/image analysis techniques for self-organizing microporous polymer film characterization",
abstract = "Two methods are presented and exemplified for the characterization of self-organizing microporous polymer film surfaces via optical microscopy/image analysis. The first concerns the distribution of the pore diameters as measured by applying the Gini coefficient, which gives quantification to the degree of irregularity in this distribution while being sensitive to areas of regularity not necessarily present in the whole sample. The second technique, developed specifically for the purpose, quantified virtual light scattering (QVLS), concerns the difficult area of geometrical order in these films, assumed to be approaching hexagonally close-packed (HCP) in most instances. An algorithm is proposed that replicates the previous work of instrument-based light-scattering imaging but via a spatial infomatics analysis, therefore affording quantified parameters of the degree of order or otherwise present in the sample. QVLS is further exemplified by its application to a film-casting stage-temperature study and shows a favorable progression of geometry with stage-temperature reduction (range: 20-5 C).",
author = "Simon Angus and Davis, {Thomas Paul}",
year = "2002",
doi = "10.1021/la026006e",
language = "English",
volume = "18",
pages = "9547 -- 9553",
journal = "Langmuir: the ACS journal of surfaces and colloids",
issn = "0743-7463",
publisher = "American Chemical Society (ACS)",
number = "24",

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TY - JOUR

T1 - Polymer surface design and infomatics: Facile microscopy/image analysis techniques for self-organizing microporous polymer film characterization

AU - Angus, Simon

AU - Davis, Thomas Paul

PY - 2002

Y1 - 2002

N2 - Two methods are presented and exemplified for the characterization of self-organizing microporous polymer film surfaces via optical microscopy/image analysis. The first concerns the distribution of the pore diameters as measured by applying the Gini coefficient, which gives quantification to the degree of irregularity in this distribution while being sensitive to areas of regularity not necessarily present in the whole sample. The second technique, developed specifically for the purpose, quantified virtual light scattering (QVLS), concerns the difficult area of geometrical order in these films, assumed to be approaching hexagonally close-packed (HCP) in most instances. An algorithm is proposed that replicates the previous work of instrument-based light-scattering imaging but via a spatial infomatics analysis, therefore affording quantified parameters of the degree of order or otherwise present in the sample. QVLS is further exemplified by its application to a film-casting stage-temperature study and shows a favorable progression of geometry with stage-temperature reduction (range: 20-5 C).

AB - Two methods are presented and exemplified for the characterization of self-organizing microporous polymer film surfaces via optical microscopy/image analysis. The first concerns the distribution of the pore diameters as measured by applying the Gini coefficient, which gives quantification to the degree of irregularity in this distribution while being sensitive to areas of regularity not necessarily present in the whole sample. The second technique, developed specifically for the purpose, quantified virtual light scattering (QVLS), concerns the difficult area of geometrical order in these films, assumed to be approaching hexagonally close-packed (HCP) in most instances. An algorithm is proposed that replicates the previous work of instrument-based light-scattering imaging but via a spatial infomatics analysis, therefore affording quantified parameters of the degree of order or otherwise present in the sample. QVLS is further exemplified by its application to a film-casting stage-temperature study and shows a favorable progression of geometry with stage-temperature reduction (range: 20-5 C).

U2 - 10.1021/la026006e

DO - 10.1021/la026006e

M3 - Article

VL - 18

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EP - 9553

JO - Langmuir: the ACS journal of surfaces and colloids

JF - Langmuir: the ACS journal of surfaces and colloids

SN - 0743-7463

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