Understanding the phase contrast optics to restore artifact-free microscopy images for segmentation.
Understanding the phase contrast optics to restore artifact-free microscopy images for segmentation.
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DOI：
10.1016/j.media.2011.12.006
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发表时间：
2012-07
影响因子：
10.9
通讯作者：
Chen, Mei
中科院分区：
文献类型：
--
作者：
Yin, Zhaozheng;Kanade, Takeo;Chen, Mei
相位对比是一种非侵入性的显微成像技术，广泛用于捕获延时图像，以监测透明细胞的行为，而不会染色或改变它们。由于光学原理，相衬显微镜图像包含诸如光晕和阴影的伪影，这些伪影阻碍图像分割，这是自动显微镜图像分析中的关键步骤。而不是把相衬显微镜图像作为一般的自然图像，并应用通用的图像处理技术对他们来说，我们建议研究的相衬显微镜的光学特性，以模拟其图像形成过程。相位对比成像系统可以通过线性成像模型来近似。基于这个模型和输入图像的属性，我们制定了一个正则化的二次成本函数来恢复直接对应于样品的光程长度的无伪影的相衬图像。去除伪影后，通过简单地对恢复图像进行阈值处理，可以实现高质量的分割。成像模型和恢复方法的定量评价显微图像序列与数千个细胞捕获几天。我们还证明，准确的恢复奠定了高性能的细胞检测和跟踪的基础。
Phase contrast, a noninvasive microscopy imaging technique, is widely used to capture time-lapse images to monitor the behavior of transparent cells without staining or altering them. Due to the optical principle, phase contrast microscopy images contain artifacts such as the halo and shade-off that hinder image segmentation, a critical step in automated microscopy image analysis. Rather than treating phase contrast microscopy images as general natural images and applying generic image processing techniques on them, we propose to study the optical properties of the phase contrast microscope to model its image formation process. The phase contrast imaging system can be approximated by a linear imaging model. Based on this model and input image properties, we formulate a regularized quadratic cost function to restore artifact-free phase contrast images that directly correspond to the specimen's optical path length. With artifacts removed, high quality segmentation can be achieved by simply thresholding the restored images. The imaging model and restoration method are quantitatively evaluated on microscopy image sequences with thousands of cells captured over several days. We also demonstrate that accurate restoration lays the foundation for high performance in cell detection and tracking.
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DOI：
10.1109/jstsp.2007.910971
发表时间：
2007-12-01
影响因子：
7.5
作者：
Kim, Seung-Jean;Koh, K.;Gorinevsky, Dimitry
通讯作者：
Gorinevsky, Dimitry
影响因子：
4.6
作者：
WU, KN;GAUTHIER, D;LEVINE, MD
通讯作者：
LEVINE, MD
影响因子：
56.9
作者：
ZERNIKE, F
通讯作者：
ZERNIKE, F
影响因子：
10.9
作者：
Li, Kang;Miller, Eric D.;Campbell, Phil G.
通讯作者：
Campbell, Phil G.
影响因子：
2.9
作者：
Sha, Fei;Lin, Yuanqing;Lee, Daniel D.
通讯作者：
Lee, Daniel D.