Share Email Print

Proceedings Paper

Study of the cellular sociology through quantitative microscopy and topographical analysis
Author(s): Christophe Dussert; Jacqueline Palmari; Monique Rasigni; Francis Kopp; Yolande Berthois; Xue-Fen Dong; Daniel Isnardon; Georges Rasigni; Pierre-Marie Martin
Format Member Price Non-Member Price
PDF $17.00 $21.00

Paper Abstract

We have developed a methodology to quantitatively study tumor cell heterogeneity from a topographical point of view through the concept of a minimal spanning tree graph. This concept is applied to the quantitation of the degree of order that may exist in a cell population, and by combining biological and mathematical approaches, to the analysis of dynamic and metabolic interactions responsible for this topographical organization. The method is used to analyze the cell cycle phases in tumor cell lines: the cells are detected from an optical microscopy image of the preparation by using algorithms that preserve the cell topography. The cells appear to be differently, and non-randomly, spatially distributed depending on the cycle phase in which they fall. Those topographical behaviors allow us to deduce some unexpected proliferating characteristics of the cells and to compare them to a numerical model of the cell cycle in an interactive population, developed from the cellular automata theory. The method may as well be applied to the topographical analysis of the cells expressing hormone receptors (namely, oestrogenic ones). More generally it may be used to analyze and quantify the cellular sociology both in its normal (morphogenesis) and pathological (cancer, therapeutic responses, ...) aspects.

Paper Details

Date Published: 1 June 1992
PDF: 11 pages
Proc. SPIE 1652, Medical Imaging VI: Image Processing, (1 June 1992); doi: 10.1117/12.59467
Show Author Affiliations
Christophe Dussert, Univ. d'Aix-Marseille III (France)
Jacqueline Palmari, Univ. d'Aix-Marseille III (France)
Monique Rasigni, Univ. d'Aix-Marseille III (France)
Francis Kopp, Univ. d'Aix-Marseille III (France)
Yolande Berthois, Univ. d'Aix-Marseille III (France)
Xue-Fen Dong, Univ. d'Aix-Marseille III (France)
Daniel Isnardon, Univ. d'Aix-Marseille III (France)
Georges Rasigni, Univ. d'Aix-Marseille III (France)
Pierre-Marie Martin, Univ. d'Aix-Marseille III (France)

Published in SPIE Proceedings Vol. 1652:
Medical Imaging VI: Image Processing
Murray H. Loew, Editor(s)

© SPIE. Terms of Use
Back to Top
Sign in to read the full article
Create a free SPIE account to get access to
premium articles and original research
Forgot your username?