Deep-Learning-Based Polar-Body Detection for Automatic Cell Manipulation.

ABSTRACT: Polar-body detection is an essential and crucial procedure in various automatic cell manipulations. The polar body can only be observed when it is located near the focal plane of the microscope, so we need to detect the polar body during cell rotation in cell manipulations. However, three-dimensional cell rotation by micropipette causes polar-body defocus and cell/polar-body deformation, which have not been discussed in existing image-level polar-body-detection approaches. Moreover, varying sizes of the polar bodies increase the difficulty of polar-body detection. In this paper, we propose a deep-learning-based framework to realize polar-body detection in cell rotation. The detection problem is interpreted as image segmentation, which separates the polar body from the background. Then, we

SUBMITTER: Wang Y 

PROVIDER: S-EPMC6413239 | biostudies-literature | 2019 Feb

REPOSITORIES: biostudies-literature