A cell polar body positioning method based on SVM classification

Abstract

Life science researches and clinical experiment involve the positioning of the polar body. The microinjection operation of mammalian oocytes has been more and more widely used. In many cell manipulation researches, researchers need to operate the polar body of an oocyte under optical microscopy to achieve the purpose of the study. Recently, the automatic detection technology develops rapidly. The orientation of the polar body has a low accuracy rate and poor applicability. This paper proposes a novel method of automatic positioning polar body, which tracks the cell and recognizes the polar body. We obtain the position of the polar body by using support vector machine (SVM). Then we report our automatic positioning system. Moreover, experimental results demonstrate the reliability and accuracy for the method. The method with a high accuracy rate of 97% can be used for positioning a variety of cells.