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利用随机交错散射投影的多焦点拉曼光谱进行高通量单细胞分析。

High-throughput single cell analysis using multi-focus Raman spectroscopy under randomly interleaved scattering projection.

机构信息

School of Precision Instrument and Opto-electronics Engineering, Tianjin University, Tianjin 300072, China.

Institute of Eco-Environmental Research, Guangxi Academy of Sciences, 98 Daling Road, Nanning, Guangxi 530007, China.

出版信息

Spectrochim Acta A Mol Biomol Spectrosc. 2025 Feb 5;326:125208. doi: 10.1016/j.saa.2024.125208. Epub 2024 Sep 24.

Abstract

Raman microspectroscopy is a powerful tool for label-free monitoring of single-cell dynamics. However, the traditional single-point acquisition mode is extremely inefficient because it only analyzes one cell at a time. We propose a method that combines multi-focus Raman excitation with random interleaving of scattering projections. The approach uses a time-sharing multi-focus array to simultaneously excite multiple biological cells and synchronously projects their Raman spectra into a single spectral channel with varying shifts. The spectral shifts of the cells are randomly interleaved during data acquisition, resulting in a sequence of mixed spectra from which a compressive sensing method is utilized to reconstruct the time-lapse Raman spectra of the individual cells. The method's feasibility and performance are validated by numerical modeling and experimental investigations into biological spore germination. The results indicated that the throughput of single cell analysis can be increased by up to a factor of 15. The reconstructed spectra of the individual cells demonstrated exceptional fidelity, faithfully capturing the cellular changes in the individual cells. The developed technology paves the way towards high-throughput, label-free monitoring of living single cells, which has promising applications in cell biology.

摘要

拉曼微光谱技术是一种用于无标记监测单细胞动力学的强大工具。然而,传统的单点采集模式效率极低,因为它一次只能分析一个细胞。我们提出了一种结合多焦点拉曼激发和散射投影随机交错的方法。该方法使用分时多焦点阵列同时激发多个生物细胞,并将它们的拉曼光谱同步投影到具有不同位移的单个光谱通道中。在数据采集过程中,细胞的光谱位移被随机交错,从而产生一系列混合光谱,从中利用压缩感知方法来重建各个细胞的时移拉曼光谱。通过数值建模和对生物孢子萌发的实验研究验证了该方法的可行性和性能。结果表明,单个细胞分析的吞吐量可以提高 15 倍。单个细胞的重建光谱表现出出色的保真度,忠实地捕捉到了单个细胞中的细胞变化。该技术为高通量、无标记的活单细胞监测铺平了道路,在细胞生物学中具有广阔的应用前景。

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