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Parallel micro-Raman spectroscopy of multiple cells in a single acquisition using hierarchical sparsity.
Analyst ( IF 3.6 ) Pub Date : 2020-07-09 , DOI: 10.1039/d0an01081b Pengfei Zhang 1 , Guiwen Wang , Shushi Huang
Analyst ( IF 3.6 ) Pub Date : 2020-07-09 , DOI: 10.1039/d0an01081b Pengfei Zhang 1 , Guiwen Wang , Shushi Huang
Affiliation
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Parallel micro-Raman spectroscopy can significantly expand the analytical capacity of single biological cells. By positioning the Raman spectra of multiple trapped cells on a detector array along the grating dispersion direction, the throughput of single-cell analysis can be improved by orders of magnitude. However, accurate retrieval of the individual spectra from the superimposed spectrum in a single acquisition presents great challenges. In this work, we developed a hierarchical sparsity method under a compressive sensing framework. The method combined a group-selection strategy with in-group sparsity for spectral reconstruction. The performances of the developed method were demonstrated with both simulated and experimental data, and the Raman spectra of the individual trapped cells were retrieved with both high accuracy and low noises; especially, with a group-selection mechanism, the developed method successfully avoided wrong selection of the eigenspectra for spectral reconstruction. The technique is expected to find wide applications in simultaneous monitoring of long biological processes of multiple cells by Raman spectroscopy.
中文翻译：
使用分层稀疏性在单个采集中对多个单元进行并行微拉曼光谱分析。
平行显微拉曼光谱可以显着扩展单个生物细胞的分析能力。通过将多个捕获细胞的拉曼光谱沿光栅色散方向放置在检测器阵列上，可以将单细胞分析的通量提高几个数量级。然而，在一次采集中从叠加光谱中准确检索单个光谱提出了巨大的挑战。在这项工作中，我们在压缩感测框架下开发了一种层次稀疏方法。该方法将组选择策略与组内稀疏性相结合以进行频谱重建。通过仿真和实验数据验证了该方法的性能，并以高准确度和低噪声检索了单个捕获细胞的拉曼光谱。特别是，通过组选择机制，该开发方法成功地避免了错误选择特征谱以进行光谱重建。该技术有望在通过拉曼光谱同时监测多个细胞的长生物学过程中找到广泛的应用。
更新日期：2020-09-14
中文翻译：
使用分层稀疏性在单个采集中对多个单元进行并行微拉曼光谱分析。
平行显微拉曼光谱可以显着扩展单个生物细胞的分析能力。通过将多个捕获细胞的拉曼光谱沿光栅色散方向放置在检测器阵列上，可以将单细胞分析的通量提高几个数量级。然而，在一次采集中从叠加光谱中准确检索单个光谱提出了巨大的挑战。在这项工作中，我们在压缩感测框架下开发了一种层次稀疏方法。该方法将组选择策略与组内稀疏性相结合以进行频谱重建。通过仿真和实验数据验证了该方法的性能，并以高准确度和低噪声检索了单个捕获细胞的拉曼光谱。特别是，通过组选择机制，该开发方法成功地避免了错误选择特征谱以进行光谱重建。该技术有望在通过拉曼光谱同时监测多个细胞的长生物学过程中找到广泛的应用。
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