Fluorescence microscopy image deconvolution: application to anthracycline distribution in breast cancer cells

Marie-Pierre Gramain; Corinne Bour; Alain Chomik; Alain Dieterlen; Olivier Haeberle; Jean Jacques Meyer; Sophie Marchal; Jean-Louis Merlin; Francois H. Guillemin

doi:10.1117/12.297960

29 December 1997 Fluorescence microscopy image deconvolution: application to anthracycline distribution in breast cancer cells

Marie-Pierre Gramain, Corinne Bour, Alain Chomik, Alain Dieterlen, Olivier Haeberle, Jean Jacques Meyer, Sophie Marchal, Jean-Louis Merlin, Francois H. Guillemin

Author Affiliations +

Proceedings Volume 3197, Optical Biopsies and Microscopic Techniques II; (1997) https://doi.org/10.1117/12.297960
Event: BiOS Europe '97, 1997, San Remo, Italy

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.

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Marie-Pierre Gramain, Corinne Bour, Alain Chomik, Alain Dieterlen, Olivier Haeberle, Jean Jacques Meyer, Sophie Marchal, Jean-Louis Merlin, and Francois H. Guillemin "Fluorescence microscopy image deconvolution: application to anthracycline distribution in breast cancer cells", Proc. SPIE 3197, Optical Biopsies and Microscopic Techniques II, (29 December 1997); https://doi.org/10.1117/12.297960

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