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.
| Published in |
International Journal of Intelligent Information Systems (Volume 3, Issue 6-1)
This article belongs to the Special Issue Research and Practices in Information Systems and Technologies in Developing Countries |
| DOI | 10.11648/j.ijiis.s.2014030601.18 |
| Page(s) | 45-48 |
| Creative Commons |
This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited. |
| Copyright |
Copyright © The Author(s), 2024. Published by Science Publishing Group |
Partial Differential Equations, Segmentation, Confocal Images, Morphodynamics
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APA Style
Ali Zeynali Aaq Qaleh, Seyyed Mahdi Haji Mirahmadi. (2014). Segmentation of Cells from 3-D Confocal Images of Live Embryo. International Journal of Intelligent Information Systems, 3(6-1), 45-48. https://doi.org/10.11648/j.ijiis.s.2014030601.18
ACS Style
Ali Zeynali Aaq Qaleh; Seyyed Mahdi Haji Mirahmadi. Segmentation of Cells from 3-D Confocal Images of Live Embryo. Int. J. Intell. Inf. Syst. 2014, 3(6-1), 45-48. doi: 10.11648/j.ijiis.s.2014030601.18
AMA Style
Ali Zeynali Aaq Qaleh, Seyyed Mahdi Haji Mirahmadi. Segmentation of Cells from 3-D Confocal Images of Live Embryo. Int J Intell Inf Syst. 2014;3(6-1):45-48. doi: 10.11648/j.ijiis.s.2014030601.18
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Download@article{10.11648/j.ijiis.s.2014030601.18,
author = {Ali Zeynali Aaq Qaleh and Seyyed Mahdi Haji Mirahmadi},
title = {Segmentation of Cells from 3-D Confocal Images of Live Embryo},
journal = {International Journal of Intelligent Information Systems},
volume = {3},
number = {6-1},
pages = {45-48},
doi = {10.11648/j.ijiis.s.2014030601.18},
url = {https://doi.org/10.11648/j.ijiis.s.2014030601.18},
eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijiis.s.2014030601.18},
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.},
year = {2014}
}
TY - JOUR T1 - Segmentation of Cells from 3-D Confocal Images of Live Embryo AU - Ali Zeynali Aaq Qaleh AU - Seyyed Mahdi Haji Mirahmadi Y1 - 2014/10/27 PY - 2014 N1 - https://doi.org/10.11648/j.ijiis.s.2014030601.18 DO - 10.11648/j.ijiis.s.2014030601.18 T2 - International Journal of Intelligent Information Systems JF - International Journal of Intelligent Information Systems JO - International Journal of Intelligent Information Systems SP - 45 EP - 48 PB - Science Publishing Group SN - 2328-7683 UR - https://doi.org/10.11648/j.ijiis.s.2014030601.18 AB - 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. VL - 3 IS - 6-1 ER -
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