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		<doi>10.1109/SIBGRAPI.2001.963045</doi>
		<citationkey>HirataJrBarrHashDant:2001:MiGrMa</citationkey>
		<title>Microarray gridding by mathematical morphology</title>
		<year>2001</year>
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		<size>1089 KiB</size>
		<author>Hirata Jr, Roberto,</author>
		<author>Barrera, Junior,</author>
		<author>Hashimoto, Ronaldo F.,</author>
		<author>Dantas, Daniel O.,</author>
		<editor>Borges, Leandro Díbio,</editor>
		<editor>Wu, Shin-Ting,</editor>
		<conferencename>Brazilian Symposium on Computer Graphics and Image Processing, 14 (SIBGRAPI)</conferencename>
		<conferencelocation>Florianópolis, SC, Brazil</conferencelocation>
		<date>15-18 Oct. 2001</date>
		<publisher>IEEE Computer Society</publisher>
		<publisheraddress>Los Alamitos</publisheraddress>
		<pages>112-119</pages>
		<booktitle>Proceedings</booktitle>
		<tertiarytype>Full Paper</tertiarytype>
		<organization>SBC - Brazilian Computer Society</organization>
		<transferableflag>1</transferableflag>
		<versiontype>finaldraft</versiontype>
		<keywords>Microarray images,Image segmentation,Mathematical Morphology.</keywords>
		<abstract>DNA chips (microarray) biotechnology is a hybridization based process that makes possible to researchers to quantitatively analyze fluorescence signals that represent the relative abundance of mRNA from two distinct samples. The object of analysis is a pair of images that must be segmented, that is, we must find the subarray regions (set of groupped spots) and the positions of the spots in each subarray. In this paper, we introduce a new technique using morphological operators that performs automatic gridding procedures for subarray and spot segmentations. This technique has been implemented in a software and tested in a variety of microarray images with success.</abstract>
		<language>en</language>
		<targetfile>112-119.pdf</targetfile>
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		<notes>The conference was held in Florianópolis, SC, Brazil, from October 15 to 18.</notes>
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		<url>http://sibgrapi.sid.inpe.br/rep-/sid.inpe.br/banon/2002/11.29.12.30</url>
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