High-resolution cell outline segmentation and tracking from phase-contrast microscopy images
High-resolution cell outline segmentation and tracking from phase-contrast microscopy images
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DOI：
10.1111/j.1365-2818.2011.03558.x
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发表时间：
2012-02-01
影响因子：
2
通讯作者：
Sbalzarini, I. F.
中科院分区：
文献类型：
--
作者：
Ambuehl, M. E.;Brepsant, C.;Sbalzarini, I. F.
从显微镜图像中准确地提取细胞轮廓对于分析细胞迁移的动力学是至关重要的。相差显微镜是观察细胞运动的最常见和最方便的成像方法之一，因为它不需要外源标记，并且只使用中等光强，光毒性效应通常可以忽略不计。然而，由于边缘强度复杂且不均匀，自动提取和跟踪高分辨率相衬图像的细胞轮廓是困难的。为了从高分辨率的相衬图像中准确提取细胞轮廓，提出了一种新的基于精细水平集分割的图像处理方法。该算法在定义噪声水平的合成图像上得到了验证，并应用于极化和持续迁移的角质细胞的真实图像序列。我们证明了该算法能够可靠地揭示细胞边缘动态的细微特征。
Accurate extraction of cell outlines from microscopy images is essential for analysing the dynamics of migrating cells. Phase-contrast microscopy is one of the most common and convenient imaging modalities for observing cell motility because it does not require exogenous labelling and uses only moderate light levels with generally negligible phototoxicity effects. Automatic extraction and tracking of high-resolution cell outlines from phase-contrast images, however, is difficult due to complex and non-uniform edge intensity. We present a novel image-processing method based on refined level-set segmentation for accurate extraction of cell outlines from high-resolution phase-contrast images. The algorithm is validated on synthetic images of defined noise levels and applied to real image sequences of polarizing and persistently migrating keratocyte cells. We demonstrate that the algorithm is able to reliably reveal fine features in the cell edge dynamics.