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dc.contributor.author김명희*
dc.date.accessioned2018-12-14T16:31:00Z-
dc.date.available2018-12-14T16:31:00Z-
dc.date.issued2018*
dc.identifier.issn2472-6303*
dc.identifier.otherOAK-22550*
dc.identifier.urihttps://dspace.ewha.ac.kr/handle/2015.oak/247779-
dc.description.abstractThe volumetric analysis of three-dimensional (3-D)-cultured colonies in alginate spots has been proposed to increase drug efficacy. In a previously developed pillar/well chip platform, colonies within spots are usually stained and dried for analysis of cell viability using two-dimensional (2-D) fluorescent images. Since the number of viable cells in colonies is directly related to colony volume, we proposed the 3-D analysis of colonies for high-accuracy cell viability calculation. The spots were immersed in buffer, and the 3-D volume of each colony was calculated from the 2-D stacking fluorescent images of the spot with different focal positions. In the experiments with human gastric carcinoma cells and anticancer drugs, we compared cell viability values calculated using the 2-D area and 3-D volume of colonies in the wet and dried alginate spots, respectively. The IC50 value calculated using the 3-D volume of the colonies (9.5 μM) was less than that calculated in the 2-D area analysis (121.5 μM). We observed that the colony showed a more sensitive drug response regarding volume calculated from the 3-D image reconstructed using several confocal images than regarding colony area calculated in the 2-D analysis. © 2017, © 2017 Society for Laboratory Automation and Screening.*
dc.languageEnglish*
dc.publisherSAGE Publications Inc.*
dc.subject3-D cell culture*
dc.subjectassay miniaturization*
dc.subjectcell encapsulation with alginate*
dc.subjectclonogenic assay*
dc.subjecthigh-throughput screening*
dc.titleVolumetric Analysis of 3-D-Cultured Colonies in Wet Alginate Spots Using 384-Pillar Plate*
dc.typeArticle*
dc.relation.issue3*
dc.relation.volume23*
dc.relation.indexSCIE*
dc.relation.indexSCOPUS*
dc.relation.startpage226*
dc.relation.lastpage230*
dc.relation.journaltitleSLAS Technology*
dc.identifier.doi10.1177/2472630317737698*
dc.identifier.wosidWOS:000432719200004*
dc.identifier.scopusid2-s2.0-85042231644*
dc.author.googleLee D.W.*
dc.author.googleChoi Y.-J.*
dc.author.googleLee S.-Y.*
dc.author.googleKim M.-H.*
dc.author.googleDoh I.*
dc.author.googleRyu G.H.*
dc.author.googleChoi S.-M.*
dc.contributor.scopusid김명희(34770838100)*
dc.date.modifydate20240322133114*
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인공지능대학 > 컴퓨터공학과 > Journal papers
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