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基于复合数字全息显微镜结合重建定心方法提高微球轴向位移测量的信噪比

Improving the Signal-to-Noise Ratio of Axial Displacement Measurements of Microspheres Based on Compound Digital Holography Microscopy Combined with the Reconstruction Centering Method.

作者信息

Zeng Yanan, Guo Qihang, Hu Xiaodong, Lu Junsheng, Fan Xiaopan, Wu Haiyun, Xu Xiao, Xie Jun, Ma Rui

机构信息

College of Engineering and Technology, Tianjin Agricultural University, Jinjing Road, Tianjin 300384, China.

State Key Laboratory of Precision Measuring Technology and Instruments, Tianjin University, Weijin Road, Tianjin 300072, China.

出版信息

Sensors (Basel). 2024 Apr 24;24(9):2723. doi: 10.3390/s24092723.

Abstract

In 3D microsphere tracking, unlike in-plane motion that can be measured directly by a microscope, axial displacements are resolved by optical interference or a diffraction model. As a result, the axial results are affected by the environmental noise. The immunity to environmental noise increases with measurement accuracy and the signal-to-noise ratio (SNR). In compound digital holography microscopy (CDHM)-based measurements, precise identification of the tracking marker is critical to ensuring measurement precision. The reconstruction centering method (RCM) was proposed to suppress the drawbacks caused by installation errors and, at the same time, improve the correct identification of the tracking marker. The reconstructed center is considered to be the center of the microsphere, rather than the center of imaging in conventional digital holographic microscopy. This method was verified by simulation of rays tracing through microspheres and axial moving experiments. The axial displacements of silica microspheres with diameters of 5 μm and 10 μm were tested by CDHM in combination with the RCM. As a result, the SNR of the proposed method was improved by around 30%. In addition, the method was successfully applied to axial displacement measurements of overlapped microspheres with a resolution of 2 nm.

摘要

在三维微球跟踪中,与可通过显微镜直接测量的平面内运动不同,轴向位移是通过光学干涉或衍射模型来解析的。因此,轴向测量结果会受到环境噪声的影响。对环境噪声的抗干扰能力会随着测量精度和信噪比(SNR)的提高而增强。在基于复合数字全息显微镜(CDHM)的测量中,精确识别跟踪标记对于确保测量精度至关重要。提出了重建中心法(RCM)来抑制由安装误差引起的缺陷,同时提高对跟踪标记的正确识别。重建中心被视为微球的中心,而不是传统数字全息显微镜中的成像中心。该方法通过光线穿过微球的模拟跟踪和轴向移动实验得到了验证。采用CDHM结合RCM对直径为5μm和10μm的二氧化硅微球的轴向位移进行了测试。结果表明,该方法的信噪比提高了约30%。此外,该方法成功应用于重叠微球的轴向位移测量,分辨率达到2nm。

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