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Proceedings Paper

Fluorescence microscopy image deconvolution: application to anthracycline distribution in breast cancer cells
Author(s): Marie-Pierre Gramain; Corinne Bour; Alain Chomik; Alain Dieterlen; Olivier Haeberle; Jean Jacques Meyer; Sophie Marchal; Jean-Louis Merlin; Francois H. Guillemin
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Paper Abstract

Video epifluorescence microscopy and image analysis are used for studying anthracycline resistance in breast cancer cells. In order to perform a semi-quantitative image analysis, several deconvolution algorithms are tested and validated on model beads. The most performant algorithm is applied to fluorescent biological specimens. We show that deconvolution makes image segmentation easier. Semi-quantitative measurements on resulting images are correlated with results obtained by cytometry.

Paper Details

Date Published: 29 December 1997
PDF: 7 pages
Proc. SPIE 3197, Optical Biopsies and Microscopic Techniques II, (29 December 1997); doi: 10.1117/12.297960
Show Author Affiliations
Marie-Pierre Gramain, Ctr. Alexis Vautrin (France)
Corinne Bour, Ctr. Alexix Vautrin (France)
Alain Chomik, Univ. de Haute-Alsace (France)
Alain Dieterlen, Univ. de Haute-Alsace (France)
Olivier Haeberle, Univ. de Haute-Alsace (France)
Jean Jacques Meyer, Univ. de Haute-Alsace (France)
Sophie Marchal, LRO/ Ctr. de Recherche en Automatique de Nancy (France)
Jean-Louis Merlin, LRO/Ctr. de Recherche en Automatique de Nancy (France)
Francois H. Guillemin, Ctr. Alexis Vautrin (France)


Published in SPIE Proceedings Vol. 3197:
Optical Biopsies and Microscopic Techniques II
Irving J. Bigio; Herbert Schneckenburger; Jan Slavik; Katarina Svanberg; Pierre M. Viallet, Editor(s)

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