摘要
随着显微镜成像技术的成熟,细胞分析已经成为生物图像分析领域的重要内容之一。早期的研究主要集中在静态细胞图像信息如细胞计数和细胞形态特征等问题上。随着活细胞成像技术的发展,产生了大量延时细胞图像数据,人工处理这些数据费时费力,工作效率低下,引入细胞追踪算法可使数据处理的工作量大为减少。本文对已有的细胞追踪的算法进行分析,对算法的优缺点和追踪结果进行比较,并从提高细胞追踪算法的精确度与速度的角度提出设想与展望。
With the advancement of microscopy imaging technology, cell morphology analysis is becoming more important in biological image analysis. Early studies mainly focused on static cell image information, such as cell counting and cell morphology. The development of living cell imaging results in a large amount of delayed cell image data, and it is time consuming to manually process these data. The cell tracking algorithm can greatly reduce the workload of data processing.Herein, we summarize the existing algorithms, and compare the advantages and disadvantages of the algorithms and the tracking results. Finally, some possible methods for improving the accuracy and the efficiency of cell tracking algorithm are prospected.
作者
杨利
蔡文杰
马晶
YANG Li, CAI Wenjie, MA Jing(School of Medical Instrument and Food Engineering, University of Shanghai for Science and Technology, Shanghai 200093, Chin)
出处
《中国医学物理学杂志》
CSCD
2018年第2期187-190,共4页
Chinese Journal of Medical Physics
基金
上海市浦江人才计划项目(15PJ1406100)
关键词
显微镜图像
细胞追踪
细胞分割
精确度
microscopy image
cell tracking
cell segmentation
accuracy
