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实现生物医学应用中超低检测限的荧光信号全数字噪声滤波。

All-numerical noise filtering of fluorescence signals for achieving ultra-low limit of detection in biomedical applications.

机构信息

Integrated Optical Microsystems (IOMS), MESA+ Institute for Nanotechnology, University of Twente, P.O. Box 217, 7500 AE, Enschede, The Netherlands.

出版信息

Analyst. 2011 Mar 21;136(6):1248-51. doi: 10.1039/c0an00692k. Epub 2011 Jan 28.

Abstract

We present an all-numerical method for post-processing of the fluorescent signal as obtained from labeled molecules by capillary electrophoresis (CE) in an optofluidic chip, on the basis of data filtering in the Fourier domain. It is shown that the method outperforms the well-known lock-in amplification during experiments in the reduction of noise by a factor of (square root)2. The method is illustrated using experimental data obtained during CE separation of molecules from a commercial DNA ladder with 17 fluorescently labeled molecules having different base-pair sizes. An improvement in signal-to-noise ratio by a factor of ∼10 is achieved, resulting in a record-low limit of detection of 210 fM.

摘要

我们提出了一种基于傅里叶域数据滤波的全数值方法,用于对在光流控芯片中通过毛细管电泳(CE)从标记分子获得的荧光信号进行后处理。实验结果表明,该方法在降低噪声方面优于著名的锁相放大技术,其降噪效果可提高约 2 倍。该方法使用从具有 17 个不同碱基对大小的荧光标记分子的商用 DNA 梯中分离分子的 CE 实验数据进行了说明。信噪比提高了约 10 倍,检测限达到了创纪录的 210 fM。

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