Geometric Characterization of Cell Membrane of Mouse Oocytes for ICSI

Author:

Diaz Jhon F.1,Karzar-Jeddi Mehdi1,Olgac Nejat1,Fan Tai-Hsi1,Ergenc Ali Fuat2

Affiliation:

1. Department of Mechanical Engineering, University of Connecticut, Storrs, CT 06269-3139

2. Department of Control Engineering, Istanbul Technical University, Istanbul, Turkey

Abstract

Intracytoplasmic sperm injection (ICSI) is a broadly utilized assisted reproductive technology. A number of technologies for this procedure have evolved lately, such as the most commonly utilized piezo-assisted ICSI technique (P-ICSI). An important problem with this technique, however, is that it requires a small amount of mercury to stabilize the tip of the penetration micropipette. A completely different and mercury-free injection technology, called the rotationally oscillating drill (Ros-Drill©) (RD-ICSI), was recently developed. It uses microprocessor-controlled rotational oscillations of a spiked micropipette after the pipette deforms the membrane to a certain tension level. Inappropriate selection of this initiation instant typically results in cell damage, which ultimately leads to unsuccessful ICSI. During earlier manual clinical tests of Ros-Drill, the technicians’ expertise determined this instant in an ad hoc fashion. In this paper, we introduce a computer-vision-based tool to mechanize this process with the objective of maintaining the repeatability and introducing potential automation. Computer images are used for monitoring the membrane deformations and curvature variations as the basis for decision making. The main contribution of this paper is in the specifics of the computer logic to perform the monitoring. These new tools are expected to provide a practicable means for automating the Ros-Drill-assisted ICSI operation.

Publisher

ASME International

Subject

Physiology (medical),Biomedical Engineering

Cited by 5 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Vision-Based Fast Parameter Identification in Cell Membrane Force Model for Microinjection Micro-force Sensing;2024 International Conference on Manipulation, Automation and Robotics at Small Scales (MARSS);2024-07-01

2. Vision-based force measurement using neural networks for biological cell microinjection;Journal of Biomechanics;2014-03

3. A Vision-Based Methodology to Dynamically Track and Describe Cell Deformation during Cell Micromanipulation;International Journal of Optomechatronics;2013-02

4. Dynamic response of micropipettes during piezo-assisted intracytoplasmic sperm injection;Physical Review E;2011-10-07

5. Commentary: Oocyte Degeneration after ICSI;Journal of Reproductive and Stem Cell Biotechnology;2010-12

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