Topographical Analysis of Spatial Patterns Generated by a Cellular Automaton Model of the Proliferation of a Cancer Cell Line In Vitro
A well‐suited model to simulate cellular population dynamics is the two‐dimensional cellular automaton model, which consists of a lattice of sites, the value ai,j of each site being updated in discrete time steps according to an identical deterministic rule depending on a neighbourhood of sites arou...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Wiley
1997-01-01
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| Series: | Analytical Cellular Pathology |
| Online Access: | http://dx.doi.org/10.1155/1997/183028 |
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| _version_ | 1832559852675661824 |
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| author | Jacqueline Palmari Bruno Lafon Pierre Marie Martin Christophe Dussert |
| author_facet | Jacqueline Palmari Bruno Lafon Pierre Marie Martin Christophe Dussert |
| author_sort | Jacqueline Palmari |
| collection | DOAJ |
| description | A well‐suited model to simulate cellular population dynamics is the two‐dimensional cellular automaton model, which consists of a lattice of sites, the value ai,j of each site being updated in discrete time steps according to an identical deterministic rule depending on a neighbourhood of sites around it. A cellular automaton is described which mimics cell population proliferation by replacing the site values by the age and the cycle phase of cells. The model takes into account the size of the cells. It is used to simulate the proliferation of the human breast cancer cell line MCF‐7 and the results of the simulation are compared with experimental data obtained from a light microscopic image analysis of the proliferation process. The initial configuration of the cellular automaton is obtained from the discretization of the results of the initial stage of the image processing. After each day of proliferation the pattern obtained from the simulation is compared to the experimental result of the corresponding image analysis. The comparison is made from a topographical point of view through the concept of the minimal spanning tree graph. The agreement between experiment and model is a good starting point to complex models such as cell proliferation under growth effectors or drugs. |
| format | Article |
| id | doaj-art-acae586c5dba499abac438f49af94ba3 |
| institution | Kabale University |
| issn | 0921-8912 1878-3651 |
| language | English |
| publishDate | 1997-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Analytical Cellular Pathology |
| spelling | doaj-art-acae586c5dba499abac438f49af94ba32025-02-03T01:29:10ZengWileyAnalytical Cellular Pathology0921-89121878-36511997-01-01142758610.1155/1997/183028Topographical Analysis of Spatial Patterns Generated by a Cellular Automaton Model of the Proliferation of a Cancer Cell Line In VitroJacqueline Palmari0Bruno Lafon1Pierre Marie Martin2Christophe Dussert3Laboratoire des Interactions Photons Matière, Université Aix‐Marseille III, case EC1, Avenue Escadrille Normandie‐Niemen, 13397 Marseille cedex 20, FranceCJF INSERM 9311, Université Aix‐Marseille II, Boulevard P. Dramard, 13326 Marseille cedex 20, FranceCJF INSERM 9311, Université Aix‐Marseille II, Boulevard P. Dramard, 13326 Marseille cedex 20, FranceCJF INSERM 9311, Université Aix‐Marseille II, Boulevard P. Dramard, 13326 Marseille cedex 20, FranceA well‐suited model to simulate cellular population dynamics is the two‐dimensional cellular automaton model, which consists of a lattice of sites, the value ai,j of each site being updated in discrete time steps according to an identical deterministic rule depending on a neighbourhood of sites around it. A cellular automaton is described which mimics cell population proliferation by replacing the site values by the age and the cycle phase of cells. The model takes into account the size of the cells. It is used to simulate the proliferation of the human breast cancer cell line MCF‐7 and the results of the simulation are compared with experimental data obtained from a light microscopic image analysis of the proliferation process. The initial configuration of the cellular automaton is obtained from the discretization of the results of the initial stage of the image processing. After each day of proliferation the pattern obtained from the simulation is compared to the experimental result of the corresponding image analysis. The comparison is made from a topographical point of view through the concept of the minimal spanning tree graph. The agreement between experiment and model is a good starting point to complex models such as cell proliferation under growth effectors or drugs.http://dx.doi.org/10.1155/1997/183028 |
| spellingShingle | Jacqueline Palmari Bruno Lafon Pierre Marie Martin Christophe Dussert Topographical Analysis of Spatial Patterns Generated by a Cellular Automaton Model of the Proliferation of a Cancer Cell Line In Vitro Analytical Cellular Pathology |
| title | Topographical Analysis of Spatial Patterns Generated by a Cellular Automaton Model of the Proliferation of a Cancer Cell Line In Vitro |
| title_full | Topographical Analysis of Spatial Patterns Generated by a Cellular Automaton Model of the Proliferation of a Cancer Cell Line In Vitro |
| title_fullStr | Topographical Analysis of Spatial Patterns Generated by a Cellular Automaton Model of the Proliferation of a Cancer Cell Line In Vitro |
| title_full_unstemmed | Topographical Analysis of Spatial Patterns Generated by a Cellular Automaton Model of the Proliferation of a Cancer Cell Line In Vitro |
| title_short | Topographical Analysis of Spatial Patterns Generated by a Cellular Automaton Model of the Proliferation of a Cancer Cell Line In Vitro |
| title_sort | topographical analysis of spatial patterns generated by a cellular automaton model of the proliferation of a cancer cell line in vitro |
| url | http://dx.doi.org/10.1155/1997/183028 |
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