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通过 在高通量液滴微流控中进行多光谱分析来减少荧光串扰。

Fluorescence crosstalk reduction by for multispectral analysis in high-throughput droplet microfluidics.

机构信息

Institute of Bioengineering, School of Engineering, École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland.

European Molecular Biology Laboratory (EMBL), Heidelberg, Germany.

出版信息

Lab Chip. 2023 May 30;23(11):2514-2520. doi: 10.1039/d2lc01016j.

Abstract

Crosstalk between fluorescent biomarkers significantly limits the resolution of multispectral fluorescence analysis in real-time droplet-microfluidics applications. The crosstalk is a result of overlapping emission and excitation spectra of different fluorophores in multiplexed analyses. To mitigate this crosstalk, we present a method that modulates multiple laser beams to selectively and sequentially excite the fluorophores by a single beam of a particular wavelength using acousto-optic modulators at a frequency of 0.1 MHz. An FPGA based data acquisition algorithm synchronized with the modulation signal then acquires the emission signals only from the fluorescence channel that corresponds to the excitation wavelength provided in that particular time window. We applied our method for fluorescence-based droplet analysis in microfluidics and demonstrate that the method is able to reduce crosstalk contribution between channels by >97% and can resolve fluorescence populations that are indistinguishable with conventional droplet analysis methods.

摘要

荧光生物标记物之间的串扰极大地限制了实时液滴微流控应用中多光谱荧光分析的分辨率。串扰是多色分析中不同荧光团的发射和激发光谱重叠的结果。为了减轻这种串扰,我们提出了一种方法,该方法使用声光调制器以 0.1 MHz 的频率调制多个激光束,以通过特定波长的单束光选择性和顺序地激发荧光团。基于 FPGA 的数据采集算法与调制信号同步,然后仅从与特定时间窗口中提供的激发波长相对应的荧光通道获取发射信号。我们将我们的方法应用于微流控中的基于荧光的液滴分析,并证明该方法能够将通道之间的串扰贡献降低 >97%,并且能够分辨传统液滴分析方法无法分辨的荧光群体。

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