



@conference {2333,
	title = {Tracking of Arabidopsis thaliana root cells in time-lapse microscopy},
	booktitle = {Proceedings - International Conference on Pattern RecognitionProc. Int. Conf. Pattern Recognit.},
	series = {2008 19th International Conference on Pattern Recognition, ICPR 2008},
	year = {2008},
	note = {Conference code: 81859Export Date: 21 November 2012Source: ScopusArt. No.: 4761746CODEN: PICRELanguage of Original Document: EnglishCorrespondence Address: Marcuzzo, M.; INEB - Instituto de Engenharia Biom{\'e}dica, Divis{\~a}o de Sinal e Imagem, Campus FEUPPortugalReferences: Beemster, G., Baskin, T., Analysis of cell division and elongation underlying the developmental acceleration of root growth in arabidopsis thaliana (1998) Plant Physiology, 116, pp. 1515-1526;Campilho, A., Garcia, B., Toorn, H., Wijk, H., Campilho, A., Scheres, B., Time-lapse analysis of stem-cell divisions in the arabidopsis thaliana root meristem (2006) The Plant Journal, 48, pp. 619-627; 
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Iwamoto, A., Satoh, D., Furutani, M., Maruyama, S., Ohba, H., Sugiyama, M., Insight into the basis of root growth in arabidopsis thaliana provided by a simple mathematical model (2006) J. Plant Res., 119, pp. 85-93; 
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Marcuzzo, M., Quelhas, P., Campilho, A., Mendon{\c c}a, A.M., Campilho, A., A hybrid approach for cell image segmentation (2008) Proc. of the ICIAR, pp. 739-749. , Springer LCNS 5112; 
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},
	month = {2008///},
	address = {Tampa, FL},
	abstract = {In vivo observation of cells in the Arabidopsis thaliana root, by time-lapse confocal microscopy, is central to biology research. The research herein described is based on large amount of image data, which must be analyzed to determine the location and state of individual cells. Automating the process of cell tracking is an important step to create tools which will facilitate the analysis of cells{\textquoteright} evolution through time. Here we introduce a confocal tracking system designed in two stages. At the image acquisition stage, we track the area under analysis based on point-to-point correspondences and motion estimation. After image acquisition, we compute cell-to-cell correspondences through time. The final result is a temporal structured information about each cell. {\textcopyright} 2008 IEEE.},
	keywords = {Arabidopsis thaliana, Bioinformatics, Cell tracking, confocal microscopy, Image acquisition, Image data, In-vivo, Individual cells, Motion estimation, Pattern recognition, Point correspondence, Root cells, Structured information, Time-lapse microscopy, Tracking system, Two stage},
	isbn = {10514651 (ISSN); 9781424421756 (ISBN)},
	url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-77957963663\&partnerID=40\&md5=9794c92c760039ecd3cab6b8a89fa8e3},
	author = {Marcuzzo, M. and Quelhas, P. and Mendon{\c c}a, A.M. and Campilho, A.}
}
