基于开放主动轮廓模型的自动肌动蛋白丝分割、追踪及尖端伸长测量
AUTOMATED ACTIN FILAMENT SEGMENTATION, TRACKING AND TIP ELONGATION MEASUREMENTS BASED ON OPEN ACTIVE CONTOUR MODELS.
作者信息
Li Hongsheng, Shen Tian, Smith Matthew B, Fujiwara Ikuko, Vavylonis Dimitrios, Huang Xiaolei
机构信息
Department of Computer Science & Engineering, Lehigh University, Bethlehem, PA 18015.
出版信息
Proc IEEE Int Symp Biomed Imaging. 2009 Jun 28;2009:1302-1305. doi: 10.1109/ISBI.2009.5193303.
This paper presents an automated method for actin filament segmentation and tracking for measuring tip elongation rates in Total Internal Reflection Fluorescence Microscopy (TIRFM) images. The main contributions of the paper are: (i) we use a novel open active contour model for filament segmentation and tracking, which is fast and robust against noise; (ii) different strategies are proposed to solve the filament intersection problem, which is shown to be the main difficulty in filament tracking; and (iii) this fully automated method avoids the need of human interaction and thus reduces required time for the entire elongation measurement process on an image sequence. Application to experimental results demonstrated the robustness and effectiveness of this method.
本文提出了一种用于全内反射荧光显微镜（TIRFM）图像中肌动蛋白丝分割和跟踪以测量尖端伸长率的自动化方法。本文的主要贡献在于：（i）我们使用一种新颖的开放活动轮廓模型进行丝的分割和跟踪，该模型快速且对噪声具有鲁棒性；（ii）提出了不同的策略来解决丝交叉问题，该问题被证明是丝跟踪中的主要困难；（iii）这种全自动方法避免了人工干预的需要，从而减少了对图像序列进行整个伸长测量过程所需的时间。应用于实验结果证明了该方法的鲁棒性和有效性。
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