基于衍射重建聚焦度评价的猪精子三维定位方法研究  

Study on 3D Positioning Method of Porcine Sperm based on Focusing Degree Evaluation of Diffraction Reconstruction

作　　者：李国晓 姜玥彤 李晨曦 武君伟 LI Guoxiao;JIANG Yuetong;LI Chenxi;WU Junwei(School of Electrical and Information Engineering,Jiangsu Vocational College of Agriculture and Forestry,Zhenjiang 212400,China;Lianyungang Lihua Animal Husbandry Co.,LTD,Lianyungang 222000,China)

机构地区：[1]江苏农林职业技术学院信息工程学院,江苏镇江212400 [2]连云港立华牧业有限公司,江苏连云港222000

出　　处：《现代农业装备》2024年第3期63-68,共6页Modern Agricultural Equipment

基　　金：江苏省政策引导类项目——苏北科技专项(SZ-LYG202113);江苏农林职业技术学院青年扶持项目(2021kj31);江苏农林职业技术学院2023年大学生创新创业培育计划项目(202313103082y)。

摘　　要：评估精子活力的重要依据之一是精子运动性能。目前较为先进的计算机辅助精子分析(CASA)方法,利用图形处理技术对相差显微镜所拍摄的精子图像进行处理和分析,其设备体积大,造价高,成像视野小,更重要的是,该方法所得到的运动轨迹是平面的。事实上,精子的运动在三维空间中进行的。获得三维运动轨迹的关键步骤是三维定位,为此,本研究提出一种利用猪精子无透镜衍射成像获得其三维定位的方法。在衍射成像重建的基础上,利用图像处理算法,获得其平面坐标,利用重建距离影响虚实像对比度的原理,设计了聚焦度评价指标和自聚焦算法,获得其高度坐标,从而实现猪精子个体三维定位。结果表明,该方法在对精子个体进行三维定位时,在水平和垂直方向上分别能够达到为±1.4、±10μm的精度。该方法有望为猪精子质量检测和趋化性研究提供更加科学的数据支撑。Sperm motility performance is an important basis for evaluating sperm motility.At present,the relatively advanced computer-assisted sperm analysis (CASA) method uses graphics processing technology to process and analyze sperm images taken by phase contrast microscope.The equipment is large and expensive,and the imaging field is small.More importantly,the motion trajectory obtained by this method is on the plane.In fact,sperm movement occurs in three dimensions.The key step to obtain 3D motion trajectory is 3D positioning.Therefore,a method to obtain 3D positioning of porcine sperm by lensless diffraction imaging is proposed in this study.In this method,based on the diffraction image reconstruction,image processing algorithm is used to obtain its plane coordinates,and focusing degree evaluation index and self-focusing algorithm are designed to obtain its height coordinates by using the principle that the reconstruction distance affects the contrast of virtual and real images.Furthermore,the 3D location of porcine sperm individual is realized.The results show that this method can achieve the accuracy of±1.4 μm and±10 μm in the horizontal and vertical directions respectively.This method is expected to provide more scientific data support for sperm quality detection and reproductive medicine research.

关 键 词：猪精子 三维定位 衍射重建 聚焦度评价 自聚焦算法 

分 类 号：S24[农业科学—农业电气化与自动化]