Quantitative interferometric microscopy cytometer based on regularized optical flow algorithm
Quantitative interferometric microscopy cytometer based on regularized optical flow algorithm
复制标题
基于正则光流算法的定量干涉显微细胞仪
DOI：
10.1016/j.optcom.2015.04.017
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发表时间：
2015-09
影响因子：
2.4
通讯作者：
Fei Liu
中科院分区：
文献类型：
--
作者：
Liang Xue;Javier Vargas;Shouyu Wang;Zhenhua Li;Fei Liu
细胞检测和分析在医学观察和疾病诊断等各个领域都很重要。为了分析细胞参数和直接观察样品，本文提出了一种改进的定量干涉显微细胞仪，可以监测生物样品的定量相分布，实现细胞参数统计。该系统能够通过正则化光流解调算法在扩展视场中恢复生物样品的相位成像。该算法只需要在不同时间点获取两幅干涉图，就能高精度地重建相位分布，简化了扫描系统。此外，该方法是全自动的，因此便于建立定量相细胞仪。此外，相位恢复方法具有对噪声和背景的鲁棒性。令人兴奋的是，红细胞很容易与定量干涉显微细胞仪系统进行研究。
Cell detections and analysis are important in various fields, such as medical observations and disease diagnoses. In order to analyze the cell parameters as well as observe the samples directly, in this paper, we present an improved quantitative interferometric microscopy cytometer, which can monitor the quantitative phase distributions of bio-samples and realize cellular parameter statistics. The proposed system is able to recover the phase imaging of biological samples in the expanded field of view via a regularized optical flow demodulation algorithm. This algorithm reconstructs the phase distribution with high accuracy with only two interferograms acquired at different time points simplifying the scanning system. Additionally, the method is totally automatic, and therefore it is convenient for establishing a quantitative phase cytometer. Moreover, the phase retrieval approach is robust against noise and background. Excitingly, red blood cells are readily investigated with the quantitative interferometric microscopy cytometer system.
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影响因子：
3.8
作者：
T. Mcintyre;C. Maurer;Stephanie Fassl;Saranjam Khan;S. Bernet;M. Ritsch-Marte
通讯作者：
T. Mcintyre;C. Maurer;Stephanie Fassl;Saranjam Khan;S. Bernet;M. Ritsch-Marte
DOI：
10.5555/uri:pii:0022214376903814
发表时间：
1976-08
期刊：
The Journal of laboratory and clinical medicine
影响因子：
--
作者：
E. Beutler;C. West;K. Blume
通讯作者：
E. Beutler;C. West;K. Blume
影响因子：
3.8
作者：
Jingshan Zhong;Rene A. Claus;J. Dauwels;L. Tian;L. Waller
通讯作者：
Jingshan Zhong;Rene A. Claus;J. Dauwels;L. Tian;L. Waller
影响因子：
3.8
作者：
P. Memmolo;A. Finizio;M. Paturzo;L. Miccio;P. Ferraro
通讯作者：
P. Memmolo;A. Finizio;M. Paturzo;L. Miccio;P. Ferraro
影响因子：
1.3
作者：
Yu, Xiao;Hong, Jisoo;Kim, Myung K.
通讯作者：
Kim, Myung K.