2010
DOI: 10.1016/j.cmpb.2009.08.008
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Methods toward in vivo measurement of zebrafish epithelial and deep cell proliferation

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Cited by 8 publications
(9 citation statements)
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“…These observations are consistent with the sensitivity to antitumoral activity of zebrafish embryonic cells that share characteristic properties with tumor cells, including mitotic index and, biochemical and phenotypic traits. 15, 24 Consistent with this hypothesis, we recently developed a method for measuring embryo cell proliferation 25 and observed Dbait anti-proliferation activity by direct intracellular injection of Dbait into zebrafish blastomeres (unpublished data).…”
Section: Discussionmentioning
confidence: 70%
“…These observations are consistent with the sensitivity to antitumoral activity of zebrafish embryonic cells that share characteristic properties with tumor cells, including mitotic index and, biochemical and phenotypic traits. 15, 24 Consistent with this hypothesis, we recently developed a method for measuring embryo cell proliferation 25 and observed Dbait anti-proliferation activity by direct intracellular injection of Dbait into zebrafish blastomeres (unpublished data).…”
Section: Discussionmentioning
confidence: 70%
“…, N θ . In [3,22,18,4,13] the centers detected by LSCD were used for various purposes including cell shape, epithelium and whole embryo segmentation and tracking. …”
Section: Cell Center Detectionmentioning
confidence: 99%
“…Within the workflow, this step aims at automatically identify and quantify from large imaging datasets morphogenetic events occurring during development, such as cell trajectories or cell shape changes; rate or pattern of cell divisions; cell depth and growth; cell intercalations or tissue invagination. In cell biology, many different features have been computed from imaging data (Carpenter et al .,2006) and can be used in developmental biology. However, some features, such as cell intercalation and tissue invagination are specific to morphogenetic processes and do not have equivalents in cell biology.…”
Section: Feature Computationmentioning
confidence: 99%
“…High‐throughput imaging strategies have been recently developed in cell biology (Pepperkok and Ellenberg,2006). In addition, many studies report imaging of millions of cells, computing of thousands of features and extracting biologically useful information using data classification within the multidimensional space of these features (see (Carpenter et al .,2006; Held et al .,2010; Loo et al .,2007; Perlman et al .,2004), for instance). The investigation of therapeutic effects of drugs based on large scale screens using automated imaging and analysis presented in (Loo et al .,2007) is a striking illustration.…”
Section: Introductionmentioning
confidence: 99%