Cell morphodynamics visualization from images of zebrafish embryogenesis

Campana, Matteo; Sarti, Alessandro

doi:10.1016/j.compmedimag.2010.01.003

Cited by 2 publications

(2 citation statements)

References 30 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The dataset consists of 88 embryos where 20 images contains up to one blastomere. There are more than one ways to capture embryo data, such us laser scanning microscopy [16] and camera which used in this research. Each embryo is photographed using Nikon Eclipse Ti equipped with Sony SSC-DC88P and cropped manually to get individual embryo because the image contained multiple embryo.…”

Section: Data Acquisitionmentioning

confidence: 99%

Ellipse Detection on Embryo Imaging Using Random Sample Consensus (Ransac) Method Based on Arc Segment

Syulistyo

Aprinaldi

Bowolaksono

et al. 2016

International Journal on Smart Sensing and Intelligent Systems

View full text Add to dashboard Cite

In Vitro Fertilization (IVF) is a method which is used to help couples who have a fertility problem. One of the problems of IVF is the success rate, which is only about 30%. One cause of the problem is the embryo morphology observation done by embryologist manually. Morphologically normal embryo does not mean the embryos are genetically normal. The aforementioned phenomena can be tested by using time lapse recording in which unavailable in the manual observation. Therefore it is very important to establish method for time lapsed recording of the embryos. This can be done by automatic observation on the embryo image, where the first step is to create a system that can automatically detect the embryo. This paper proposed Random Sample Consensus (RANSAC) method based on Arc Segment to automatically detect embryo.From the experiment that have been conducted, the proposed method can detect single and multiple ellipse on embryo with a better accuracy than the previous method, EDCircles by 6% and 3% for single and double respectively.

show abstract

Section: Data Acquisitionmentioning

confidence: 99%

Ellipse Detection on Embryo Imaging Using Random Sample Consensus (Ransac) Method Based on Arc Segment

Syulistyo

Aprinaldi

Bowolaksono

et al. 2016

International Journal on Smart Sensing and Intelligent Systems

View full text Add to dashboard Cite

show abstract

“…Current efforts increasingly focus on developing robust high‐throughput image analysis systems. See for example recent studies on the development of zebrafish (Brown et al .,2010; Campana et al .,2010; Campana and Sarti,2010; Keller et al .,2008b; Liu et al .,2008; Melani et al .,2007; Rizzi et al .,2007; Rizzi and Sarti,2009; Zanella et al .,2010; Zanella et al .,2007), Drosophila (Frise et al .,2010; Keller et al .,2010; Keranen et al .,2006; McMahon et al .,2008; Peng et al .,2007; Supatto et al .,2009; Weber et al .,2009; Zhou and Peng,2007) and Arabidopsis (Fernandez et al .,2010) (see Fig. 9).…”

Section: Introductionmentioning

confidence: 99%

Reconstructing embryonic development

Khairy

Keller

2011

Genesis

View full text Add to dashboard Cite

Summary: Novel approaches to bio-imaging and automated computational image processing allow the design of truly quantitative studies in developmental biology. Cell behavior, cell fate decisions, cell interactions during tissue morphogenesis, and gene expression dynamics can be analyzed in vivo for entire complex organisms and throughout embryonic development. We review state-of-the-art technology for live imaging, focusing on fluorescence light microscopy techniques for system-level investigations of animal development, and discuss computational approaches to image segmentation, cell tracking, automated data annotation, and biophysical modeling. We argue that the substantial increase in data complexity and size requires sophisticated new strategies to data analysis to exploit the enormous potential of these new resources. genesis 49:488-513, 2011. V V C 2010 Wiley-Liss, Inc.

show abstract

Cell morphodynamics visualization from images of zebrafish embryogenesis

Cited by 2 publications

References 30 publications

Ellipse Detection on Embryo Imaging Using Random Sample Consensus (Ransac) Method Based on Arc Segment

Ellipse Detection on Embryo Imaging Using Random Sample Consensus (Ransac) Method Based on Arc Segment

Reconstructing embryonic development

Contact Info

Product

Resources

About