PUBLICATION
Automatic segmentation of time-lapse microscopy images depicting a live Dharma embryo
- Authors
- Zacharia, E., Bondesson, M., Riu, A., Ducharme, N.A., Gustafsson, J.A., and Kakadiaris, I.A.
- ID
- ZDB-PUB-120125-22
- Date
- 2011
- Source
- Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual Conference 2011: 8082-8085 (Journal)
- Registered Authors
- Keywords
- image segmentation, fluorescence microscopy
- MeSH Terms
-
- Animals
- Automation
- Chromosomes/metabolism
- Embryo, Nonmammalian/anatomy & histology*
- Image Processing, Computer-Assisted/methods*
- Microscopy, Fluorescence/methods*
- Time-Lapse Imaging/methods*
- Zebrafish/embryology*
- PubMed
- 22256217 Full text @ Conf. Proc. IEEE Eng. Med. Biol. Soc.
Citation
Zacharia, E., Bondesson, M., Riu, A., Ducharme, N.A., Gustafsson, J.A., and Kakadiaris, I.A. (2011) Automatic segmentation of time-lapse microscopy images depicting a live Dharma embryo. Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual Conference. 2011:8082-8085.
Abstract
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.
Genes / Markers
Expression
Phenotype
Mutations / Transgenics
Human Disease / Model
Sequence Targeting Reagents
Fish
Orthology
Engineered Foreign Genes
Mapping