Optical Technique, Volume. 47, Issue 3, 379(2021)

Realization of image segmentation in automatic microinjection

CHEN Bingjie1、*, YE Ping1, SUN Jingwen2, LV Wener2, YANG Xi2, CHEN Junqiang2, SHI Pan3, and CHANG Zhaohua1,2
Author Affiliations
  • 1[in Chinese]
  • 2[in Chinese]
  • 3[in Chinese]
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    Automatic microcell injection can overcome the shortcomings of long manual injection and easy fatigue, in order to solve the problem of cell and pinpoint location in automatic intracytoplasmic sperm injection. Based on the method of combining YOLOv3 neural network and level set, the egg cell and the injection needle are divided, and then the needle tip of the injection needle is located. The comparative experiment proved that the method can solve the problem that the traditional level set is difficult to segment cells and injection needles, and completely segment the deformed cells during microinjection as well as locate the needle tip in the cells, and the error is smaller than other algorithms.

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    CHEN Bingjie, YE Ping, SUN Jingwen, LV Wener, YANG Xi, CHEN Junqiang, SHI Pan, CHANG Zhaohua. Realization of image segmentation in automatic microinjection[J]. Optical Technique, 2021, 47(3): 379

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    Paper Information

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    Received: Dec. 2, 2020

    Accepted: --

    Published Online: Aug. 22, 2021

    The Author Email: Bingjie CHEN (Chenbingjie1224@163.com)

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