Segmentation of Cells from 3-D Confocal Images of Live Embryo
International Journal of Intelligent Information Systems
Volume 3, Issue 6-1, December 2014, Pages: 45-48
Received: Oct. 10, 2014; Accepted: Oct. 14, 2014; Published: Oct. 27, 2014
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Authors
Ali Zeynali Aaq Qaleh, Faculty of Engineering, Islamic Azad University, Qom, Iran
Seyyed Mahdi Haji Mirahmadi, Software Engineer, Young Researchers and Elite Club, Qazvin Branch, Islamic Azad University, Qazvin, Iran
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Abstract
Partial-differential-equation- based segmentation has been employed to accurately extract the shapes of membranes and nuclei from time lapse confocal microscopy images, taken throughout early Zebrafish embryogenesis. This strategy is a prerequisite for an accurate quantitative analysis of cell shape and morphodynamics during organogenesis and is the basis for an integrated understanding of biological processes. This data will also serve for the measurement of the variability between individuals in a population. The segmentation of cellular structures is achieved by first using an edge-preserving image filtering method for noise reduction and then applying an algorithm for cell shape reconstruction based on the Subjective Surfaces technique.
Keywords
Partial Differential Equations, Segmentation, Confocal Images, Morphodynamics
To cite this article
Ali Zeynali Aaq Qaleh, Seyyed Mahdi Haji Mirahmadi, Segmentation of Cells from 3-D Confocal Images of Live Embryo, International Journal of Intelligent Information Systems. Special Issue: Research and Practices in Information Systems and Technologies in Developing Countries. Vol. 3, No. 6-1, 2014, pp. 45-48. doi: 10.11648/j.ijiis.s.2014030601.18
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