Title | ||
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Automatic segmentation of time-lapse microscopy images depicting a live Dharma embryo. |
Abstract | ||
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Biological inferences about the toxicity of chemicals reached during experiments on the zebrafish Dharma embryo can be greatly affected by the analysis of the time-lapse microscopy images depicting the embryo. Among the stages of image analysis, automatic and accurate segmentation of the Dharma embryo is the most crucial and challenging. In this paper, an accurate and automatic segmentation approach for the segmentation of the Dharma embryo data obtained by fluorescent time-lapse microscopy is proposed. Experiments performed in four stacks of 3D images over time have shown promising results. |
Year | DOI | Venue |
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2011 | 10.1109/IEMBS.2011.6091993 | EMBC |
Keywords | Field | DocType |
toxicity,zebrafish,image segmentation,automatic segmentation,biological techniques,optical microscopy,fluorescent time-lapse microscopy,toxicology,dharma embryo,3d imaging,genetic algorithms,genetic algorithm,chemicals,embryo,image analysis,microscopy,embryos,three dimensional | Computer vision,Dharma,Computer science,Embryo,Segmentation,Image segmentation,Time-lapse microscopy,Artificial intelligence | Conference |
Volume | ISSN | ISBN |
2011 | 1557-170X | 978-1-4244-4122-8 |
Citations | PageRank | References |
0 | 0.34 | 2 |
Authors | ||
6 |
Name | Order | Citations | PageRank |
---|---|---|---|
Eleni Zacharia | 1 | 34 | 6.30 |
Maria Bondesson | 2 | 1 | 1.75 |
Riu Anne | 3 | 0 | 0.34 |
Ducharme Nicole A | 4 | 0 | 0.34 |
Gustafsson Jan-Åke | 5 | 0 | 0.68 |
Ioannis A. Kakadiaris | 6 | 234 | 18.85 |