We found a match
Your institution may have access to this item. Find your institution then sign in to continue.
- Title
Oocytes Polar Body Detection for Automatic Enucleation.
- Authors
Di Chen; Mingzhu Sun; Xin Zhao
- Abstract
Enucleation is a crucial step in cloning. In order to achieve automatic blind enucleation, we should detect the polar body of the oocyte automatically. The conventional polar body detection approaches have low success rate or low efficiency. We propose a polar body detection method based on machine learning in this paper. On one hand, the improved Histogram of Oriented Gradient (HOG) algorithm is employed to extract features of polar body images, which will increase success rate. On the other hand, a position prediction method is put forward to narrow the search range of polar body, which will improve efficiency. Experiment results show that the success rate is 96% for various types of polar bodies. Furthermore, the method is applied to an enucleation experiment and improves the degree of automatic enucleation.
- Subjects
CELL enucleation; MICRURGY; CLONING
- Publication
Micromachines, 2016, Vol 7, Issue 2, p27
- ISSN
2072-666X
- Publication type
Article
- DOI
10.3390/mi7020027