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太赫兹超表面的时频联合映射用于生物细胞的多维分析。

Time-frequency joint mappings of a terahertz metasurface for multi-dimensional analysis of biological cells.

出版信息

Opt Lett. 2022 Aug 1;47(15):3704-3707. doi: 10.1364/OL.464443.

Abstract

Traditional fast Fourier transform is used to extract the frequency component at the cost of losing the time domain, which is critical for metasurface biosensing. In this Letter, a more comprehensive algorithm, continuous wavelet transform (CWT), to process signals from THz time-domain spectroscopy is introduced. By comparing the metasurface-enhanced 2D time-frequency mappings (TFMs) of HaCaT and HSC3 cells, the two types of biological cells can be clearly differentiated, showing the great potential of CWT in the label-free recognition of biological cells. Also, the 2D TFMs serve as effective visualization indicators, successfully detecting the concentration of cancer cells characterized by being label free and low cost. In addition, the 2D TFMs of different metasurfaces under the same cell concentration reveal the correlation of TFMs and localized fields. Such a feature provides evidence of an interaction between biological cells and electromagnetic waves, implying the absorption of THz radiation by biological cells can be effectively controlled by properly designing split ring resonators (SRRs) of metasurfaces.

摘要

传统的快速傅里叶变换(FFT)用于提取频率分量,但代价是丢失时域信息,这对超表面生物传感至关重要。在这篇快报中,我们介绍了一种更全面的算法,即连续小波变换(CWT),用于处理太赫兹时域光谱的信号。通过比较 HaCaT 和 HSC3 细胞的超表面增强二维时频图(TFMs),可以清楚地区分这两种生物细胞,表明 CWT 在生物细胞无标记识别方面具有巨大潜力。此外,二维 TFMs 还可作为有效的可视化指标,成功地检测到以无标记和低成本为特征的癌细胞浓度。此外,在相同细胞浓度下,不同超表面的二维 TFMs 揭示了 TFMs 和局域场之间的相关性。这一特征为生物细胞与电磁波之间的相互作用提供了证据,表明通过适当设计超表面的分裂环谐振器(SRR)可以有效控制生物细胞对太赫兹辐射的吸收。

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