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Detection of small biological objects by phase-sensitive optical coherence tomography

机译:相敏光学相干断层扫描检测小生物物体

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We demonstrate a novel label-free OCT method allowing optical detection and differentiation of moving micro-objects, such as blood cells. In this study we use phase-sensitive Fd-OCT/OCM system with broadband light source (axial resolution: 3 μm in tissue and lateral resolution 4-8 μm) and fluidic sample setup. The novel part of this method is that the optical identification is based on optical signal coming from optically uniform scattering media localized beneath the flowing/moving objects and not from the objects itself. This signal reveals as an enhancement in speckle pattern on intensity images and non-zero phase change on phase images (phase-change). Statistical parameters of such signals depend on the features of the object, like its size, shape, internal structure, etc. In order to demonstrate the effectiveness and reliability of proposed method, we performed an experiment to differentiate erythrocytes from leukocytes. Obtained OCT cross-sectional images present signal enhancement in the scattering base, both on intensity and phase-change images. This modulation signals, corresponding to erythrocytes and leukocytes, are significantly different and could be easily distinguished qualitatively. Statistical parameters used for the analysis also represent satisfactory separation to distinguish between different kinds of cells. Above-mentioned results of differentiation are presented in this paper.
机译:我们展示了一个新颖的无标记方法OCT允许光学检测和移动微对象,例如血细胞的分化。在这项研究中,我们使用具有宽带光源相敏FD-OCT / OCM系统(轴向分辨率:3微米组织和横向分辨率4-8微米)和流体样品设置。该方法的新颖的部分是,该光学识别基于从局部流动/运动物体下方,而不是从对象本身光学均匀散射媒体来的光信号。这个信号显示在斑点图案的增强上的强度图像和相位图像(相变)的非零的相位变化。这样的信号的统计参数取决于对象的特征,如它的大小,形状,内部结构,等等。为了证明的有效性和提出的方法的可靠性,我们进行了实验,以从白细胞分化的红细胞。在分散基底获得OCT截面图像存在的信号增强,无论在强度和相变图像。该调制信号,对应于红细胞和白细胞,基本上显著不同并且可以定性地容易区分。用于该分析的统计参数也表示令人满意的分离不同种类的细胞之间进行区分。分化的上述结果在本文提出。

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