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首页> 外文期刊>Ultrasonics, Ferroelectrics and Frequency Control, IEEE Transactions on >Multi-layer phase analysis: quantifying the elastic properties of soft tissues and live cells with ultra-high-frequency scanning acoustic microscopy
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Multi-layer phase analysis: quantifying the elastic properties of soft tissues and live cells with ultra-high-frequency scanning acoustic microscopy

机译：多层相分析：使用超高频扫描声显微镜对软组织和活细胞的弹性特性进行定量

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摘要

Scanning acoustic microscopy is potentially a powerful tool for characterizing the elastic properties of soft biological tissues and cells. In this paper, we present a method, multi-layer phase analysis (MLPA), which can be used to extract local speed of sound values, for both thin tissue sections mounted on glass slides and cultured cells grown on cell culture plastic, with a resolution close to 1 μm. The method exploits the phase information that is preserved in the interference between the acoustic wave reflected from the substrate surface and internal reflections from the acoustic lens. In practice, a stack of acoustic images are captured beginning with the acoustic focal point 4 μm above the substrate surface and moving down in 0.1-μm increments. Scanning parameters, such as acoustic wave frequency and gate position, were adjusted to obtain optimal phase and lateral resolution. The data were processed offline to extract the phase information with the contribution of any inclination in the substrate removed before the calculation of sound speed. Here, we apply this approach to both skin sections and fibroblast cells, and compare our data with the V(f) (voltage versus frequency) method that has previously been used for characterization of soft tissues and cells. Compared with the V(f) method, the MPLA method not only reduces signal noise but can be implemented without making a priori assumptions with regards to tissue or cell parameters.
机译：扫描声学显微镜可能是表征软生物组织和细胞弹性特性的强大工具。在本文中，我们提出了一种多层相分析（MLPA）方法，该方法可用于提取安装在载玻片上的薄组织切片和在细胞培养塑料上生长的培养细胞的局部声速值。分辨率接近1μm。该方法利用了从衬底表面反射的声波与声透镜的内部反射之间的干涉中保留的相位信息。在实践中，会捕获一堆声像，这些声像从位于基板表面上方4μm处的声焦点开始，并以0.1μm的增量向下移动。调整扫描参数，例如声波频率和门位置，以获得最佳的相位和横向分辨率。在计算声速之前，对数据进行脱机处理以提取相位信息，并去除基板中的任何倾斜度。在这里，我们将这种方法应用于皮肤切片和成纤维细胞，并将我们的数据与以前用于表征软组织和细胞的V（f）（电压与频率）方法进行比较。与V（f）方法相比，MPLA方法不仅可以降低信号噪声，而且无需事先就组织或细胞参数进行假设即可实施。

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