Using Web technologies and meta-computing to visualise a simplified simulation model of tumor growth in vitro

Stamatakos, GS; Zacharaki, EI; Mouravliansky, NA; Delibasis, KK; Nikita, KS; Uzunoglu, NK; Marsh, A

dc.contributor.author	Stamatakos, GS	en
dc.contributor.author	Zacharaki, EI	en
dc.contributor.author	Mouravliansky, NA	en
dc.contributor.author	Delibasis, KK	en
dc.contributor.author	Nikita, KS	en
dc.contributor.author	Uzunoglu, NK	en
dc.contributor.author	Marsh, A	en
dc.date.accessioned	2014-03-01T01:15:22Z
dc.date.available	2014-03-01T01:15:22Z
dc.date.issued	1999	en
dc.identifier.issn	0302-9743	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/13462
dc.subject	Biological Process	en
dc.subject	Cell Culture	en
dc.subject	Cell Cycle	en
dc.subject	Client-server Architecture	en
dc.subject	Gaussian Distribution	en
dc.subject	Internal Structure	en
dc.subject	Laboratory Experiment	en
dc.subject	Simulation Model	en
dc.subject	Three Dimensional	en
dc.subject	Tumor Growth	en
dc.subject	Volume Rendering	en
dc.subject	Web Technology	en
dc.subject	Real Time	en
dc.subject	Small Cell Lung Cancer	en
dc.subject.classification	Computer Science, Theory & Methods	en
dc.subject.other	CROSS-SECTIONS	en
dc.subject.other	3D OBJECTS	en
dc.subject.other	RECONSTRUCTION	en
dc.subject.other	VISUALIZATION	en
dc.title	Using Web technologies and meta-computing to visualise a simplified simulation model of tumor growth in vitro	en
heal.type	journalArticle	en
heal.identifier.primary	10.1007/BFb0100658	en
heal.identifier.secondary	http://dx.doi.org/10.1007/BFb0100658	en
heal.language	English	en
heal.publicationDate	1999	en
heal.abstract	The aim of this paper is to demonstrate the impact that Web technologies and meta computing can have on the simulation of biological processes such as tumor growth. A client-server architecture allowing real time surface and volume rendering using a standard Web browser is proposed. A simplified three-dimensional cytokinetic simulation model of tumor growth in vitro is developed and results are obtained concerning the development of a small cell lung cancer (SCLC) tumor spheroid in cell culture. A Gaussian distribution of the cell cycle phase durations is considered. The behavior of the model is compared with both published data and laboratory experience. The application of Web technologies and meta computing leads to a spectacular three-dimensional visualisation of both the external and the internal structure of a growing tumor spheroid.	en
heal.publisher	SPRINGER-VERLAG BERLIN	en
heal.journalName	HIGH-PERFORMANCE COMPUTING AND NETWORKING, PROCEEDINGS	en
heal.bookName	LECTURE NOTES IN COMPUTER SCIENCE	en
dc.identifier.doi	10.1007/BFb0100658	en
dc.identifier.isi	ISI:000088252100099	en
dc.identifier.volume	1593	en
dc.identifier.spage	973	en
dc.identifier.epage	982	en