A tool for the quantitative spatial analysis of mammary gland epithelium

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In this paper we present a method for the spatial analysis of complex cellular systems based on a multiscale study of neighborhood relationships. A function to measure those relationships, M, is introduced. The refined Relative Neighborhood Graph is then presented as a method to establish vicinity relationships within layered cellular structures, and particularized to epithelial cell nuclei in the mammary gland. Finally, the method is illustrated with two examples that show interactions within one population of epithelial cells and between two different populations.

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Ortiz de Solorzano, Carlos & Fernandez-Gonzalez, Rodrigo April 9, 2004.

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Description

In this paper we present a method for the spatial analysis of complex cellular systems based on a multiscale study of neighborhood relationships. A function to measure those relationships, M, is introduced. The refined Relative Neighborhood Graph is then presented as a method to establish vicinity relationships within layered cellular structures, and particularized to epithelial cell nuclei in the mammary gland. Finally, the method is illustrated with two examples that show interactions within one population of epithelial cells and between two different populations.

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vp.

Notes

OSTI as DE00834501

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  • THE 26th ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY, San Francisco, CA (US), 09/01/2004--09/05/2004

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  • Report No.: LBNL--54882
  • Grant Number: AC03-76SF00098
  • Office of Scientific & Technical Information Report Number: 834501
  • Archival Resource Key: ark:/67531/metadc782175

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  • April 9, 2004

Added to The UNT Digital Library

  • Dec. 3, 2015, 9:30 a.m.

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  • April 4, 2016, 5:43 p.m.

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Ortiz de Solorzano, Carlos & Fernandez-Gonzalez, Rodrigo. A tool for the quantitative spatial analysis of mammary gland epithelium, article, April 9, 2004; Berkeley, California. (digital.library.unt.edu/ark:/67531/metadc782175/: accessed September 26, 2018), University of North Texas Libraries, Digital Library, digital.library.unt.edu; crediting UNT Libraries Government Documents Department.