广西师范大学学报（自然科学版） ›› 2016, Vol. 34 ›› Issue (2): 54-60.doi: 10.16088/j.issn.1001-6600.2016.02.008

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微流控芯片下的单细胞轮廓定位与提取

夏海英1, 肖雯静1, 薛茗月2   

  1. 1.广西师范大学电子工程学院,广西桂林541004;
    2.广西师范大学化学与药学学院,广西桂林541004
  • 收稿日期:2015-12-15 出版日期:2016-06-25 发布日期:2018-09-14
  • 通讯作者: 夏海英(1983—),女,山东聊城人,广西师范大学副教授,博士。E-mail:xhyhust@gmail.com
  • 基金资助:
    国家自然科学基金资助项目(21327007);广西自动检测技术与仪器重点实验室基金项目(YQ1402);广西高等学校科研资助项目;广西师范大学博士启动基金资助项目

Single Cell Contour Localization and Extractionunder Microfluidic Chip

XIA Haiying1, XIAO Wenjing1, XUE Mingyue2   

  1. 1.College of Electronic Enginneering,Guangxi Normal University,Guilin Guangxi 541004,China;
    2.School of Chemistry and Pharmacentical Sciences, Guangxi Normal University, Guilin Guangxi 541004, China
  • Received:2015-12-15 Online:2016-06-25 Published:2018-09-14

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摘要： 微流控芯片可实现单细胞分析,而对单个细胞分析,能够掌握更准确更全面的细胞信息,可以克服以往群体分析中平均结果对个别信息掩盖的局限性,对疾病的早期预防和诊断具有重要的科学意义。本文根据早期癌症细胞通过微流控芯片中的弯道时变形与正常细胞不同的理论,采用Grabcut和Snake相融合的单细胞图像分割算法来精确定位和提取单细胞轮廓,实现单细胞的形变分析。首先,本文在图像分割之前引入Perona-Malik模型,增强图像边缘的同时减弱噪声,使定位更加准确。其次,利用Canny和Snake模型获得Grabcut初始化矩形框。最后,通过Grabcut算法实时精确地提取单细胞轮廓。实验结果表明:本文算法结合了Snake算法和Grabcut算法的优点,在无人工交互的条件下,细胞轮廓平均正确分割率达到93.7%,能够满足医学单细胞分析的要求。

关键词: 单细胞, 轮廓定位与提取, Grabcut算法, Snake算法, 融合

Abstract: The single-cell analysis, achieved on the microfluidic chip, is able to grasp more accurate and comprehensive cells information, has important scientific significance for the prevention and early disease diagnosis. Based on the theories that the deformability of the early cancer cells are different from normal cells when they go around a curve in the microfluidic chip. So a new cell segmentation algorithm, which fuses classical grabcut algorithm with snake algorithm, is proposed to accurately extract a single cell outline, and achieve the deformation analysis of a single cell. Firstly, the morphological operators are used to eliminate small bright spot noise. Secondly, canny and snake algorithm are utilized to get the position of one cell, which can be regarded as the initialization of the grabcut algorithm. Finally, accurate cell contour are extracted by grabcut algorithm. Experimental results show that the proposed algorithm combines the advantages of snake algorithm and grabcut algorithm. In the absence of human interaction, the average correct segmentation rate is up to 93.7%, can meet the medical requirements of single cell analysis.

Key words: unicellular, contour localization and extraction, Grabcut algorithm, Snake algorithm, fuse

中图分类号: 

  • TP39
[1] JASON P B, STEFAN H H, KARL A, et al. Sorting cells by size, shape and deformability[J].Lab on a Chip, 2012,12(6):1048-1051.
[2] YANG Qihua,WANG Qiang.Tissue cell boundaries detection based on curvelet-based snake model in electrorotation bio-chip control system[J].IEEE Computer Society,2008(2):728-732.
[3] 马竟锋.细胞图像主动轮廓分割模型研究[D]. 杭州:浙江大学,2011.
[4] 兰红,张璐.分水岭优化的Snake模型肝脏图像分割[J].中国图像图形学报,2012,17:873-897.
[5] LI D,ZHANG G,WU Z,et al.An edge embedded marker-based watershed algorithm for high spatial resolution remote sensing image segmentation[J].IEEE Transactions on Image Processing,2010,19(10):2781-2787.
[6] CHEN Hao. Algae cell contour extraction algorithm based on grab cut and the 8-direction chain code edge tracking method[J]. Journal of Mech anical and Electrical Engineering,2010,27(8):108-111.
[7] TANG Chunming. Accurate extraction of contour information from the cleavage of neural stem cells[C]// Biomedical and Pharmaceutical Engineering. Singapore:IEEE, 2006:67-72.
[8] 陈林伟,吴向平. 结合显著性的GrabCut及在骨髓细胞图像分割中的应用[J].中国计量学院,2014,25(1):87-92.
[9] 刘毅. 基于图割的交互式图像分割算法研究[D].南京:南京理工大学,2013.
[10] 辛巧,闫萍,盛其荣.基于高斯曲率改进的PM模型[J].广西师范大学学报(自然科学版),2007,25(2):194-197.
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