Combination of multi-focus Raman spectroscopy and compressive sensing for parallel monitoring of single-cell dynamics
To overcome the low efficiency of conventional confocal Raman spectroscopy, many efforts have been devoted to parallelizing the Raman excitation and acquisition, in which the scattering from multiple foci is projected onto different locations on a spectrometer’s CCD, along either its vertical, horiz...
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2021
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oai:doaj.org-article:3c50efb3c1fd4e2f80d729f0f21e98be2021-11-23T13:04:53ZCombination of multi-focus Raman spectroscopy and compressive sensing for parallel monitoring of single-cell dynamics1793-54581793-720510.1142/S1793545821500218https://doaj.org/article/3c50efb3c1fd4e2f80d729f0f21e98be2021-11-01T00:00:00Zhttp://www.worldscientific.com/doi/epdf/10.1142/S1793545821500218https://doaj.org/toc/1793-5458https://doaj.org/toc/1793-7205To overcome the low efficiency of conventional confocal Raman spectroscopy, many efforts have been devoted to parallelizing the Raman excitation and acquisition, in which the scattering from multiple foci is projected onto different locations on a spectrometer’s CCD, along either its vertical, horizontal dimension, or even both. While the latter projection scheme relieves the limitation on the row numbers of the CCD, the spectra of multiple foci are recorded in one spectral channel, resulting in spectral overlapping. Here, we developed a method under a compressive sensing framework to demultiplex the superimposed spectra of multiple cells during their dynamic processes. Unlike the previous methods which ignore the information connection between the spectra of the cells recorded at different time, the proposed method utilizes a prior that a cell’s spectra acquired at different time have the same sparsity structure in their principal components. Rather than independently demultiplexing the mixed spectra at the individual time intervals, the method demultiplexes the whole spectral sequence acquired continuously during the dynamic process. By penalizing the sparsity combined from all time intervals, the collaborative optimization of the inversion problem gave more accurate recovery results. The performances of the method were substantiated by a 1D Raman tweezers array, which monitored the germination of multiple bacterial spores. The method can be extended to the monitoring of many living cells randomly scattering on a coverslip, and has a potential to improve the throughput by a few orders.Zhenzhen LiXiujuan ZhangChengui XiaoDa ChenShushi HuangPengfei ZhangGuiwen WangWorld Scientific Publishingarticleconfocal raman spectroscopycompressive sensingsingle-cell dynamicsTechnologyTOptics. LightQC350-467ENJournal of Innovative Optical Health Sciences, Vol 14, Iss 6, Pp 2150021-1-2150021-12 (2021) |
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confocal raman spectroscopy compressive sensing single-cell dynamics Technology T Optics. Light QC350-467 |
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confocal raman spectroscopy compressive sensing single-cell dynamics Technology T Optics. Light QC350-467 Zhenzhen Li Xiujuan Zhang Chengui Xiao Da Chen Shushi Huang Pengfei Zhang Guiwen Wang Combination of multi-focus Raman spectroscopy and compressive sensing for parallel monitoring of single-cell dynamics |
description |
To overcome the low efficiency of conventional confocal Raman spectroscopy, many efforts have been devoted to parallelizing the Raman excitation and acquisition, in which the scattering from multiple foci is projected onto different locations on a spectrometer’s CCD, along either its vertical, horizontal dimension, or even both. While the latter projection scheme relieves the limitation on the row numbers of the CCD, the spectra of multiple foci are recorded in one spectral channel, resulting in spectral overlapping. Here, we developed a method under a compressive sensing framework to demultiplex the superimposed spectra of multiple cells during their dynamic processes. Unlike the previous methods which ignore the information connection between the spectra of the cells recorded at different time, the proposed method utilizes a prior that a cell’s spectra acquired at different time have the same sparsity structure in their principal components. Rather than independently demultiplexing the mixed spectra at the individual time intervals, the method demultiplexes the whole spectral sequence acquired continuously during the dynamic process. By penalizing the sparsity combined from all time intervals, the collaborative optimization of the inversion problem gave more accurate recovery results. The performances of the method were substantiated by a 1D Raman tweezers array, which monitored the germination of multiple bacterial spores. The method can be extended to the monitoring of many living cells randomly scattering on a coverslip, and has a potential to improve the throughput by a few orders. |
format |
article |
author |
Zhenzhen Li Xiujuan Zhang Chengui Xiao Da Chen Shushi Huang Pengfei Zhang Guiwen Wang |
author_facet |
Zhenzhen Li Xiujuan Zhang Chengui Xiao Da Chen Shushi Huang Pengfei Zhang Guiwen Wang |
author_sort |
Zhenzhen Li |
title |
Combination of multi-focus Raman spectroscopy and compressive sensing for parallel monitoring of single-cell dynamics |
title_short |
Combination of multi-focus Raman spectroscopy and compressive sensing for parallel monitoring of single-cell dynamics |
title_full |
Combination of multi-focus Raman spectroscopy and compressive sensing for parallel monitoring of single-cell dynamics |
title_fullStr |
Combination of multi-focus Raman spectroscopy and compressive sensing for parallel monitoring of single-cell dynamics |
title_full_unstemmed |
Combination of multi-focus Raman spectroscopy and compressive sensing for parallel monitoring of single-cell dynamics |
title_sort |
combination of multi-focus raman spectroscopy and compressive sensing for parallel monitoring of single-cell dynamics |
publisher |
World Scientific Publishing |
publishDate |
2021 |
url |
https://doaj.org/article/3c50efb3c1fd4e2f80d729f0f21e98be |
work_keys_str_mv |
AT zhenzhenli combinationofmultifocusramanspectroscopyandcompressivesensingforparallelmonitoringofsinglecelldynamics AT xiujuanzhang combinationofmultifocusramanspectroscopyandcompressivesensingforparallelmonitoringofsinglecelldynamics AT chenguixiao combinationofmultifocusramanspectroscopyandcompressivesensingforparallelmonitoringofsinglecelldynamics AT dachen combinationofmultifocusramanspectroscopyandcompressivesensingforparallelmonitoringofsinglecelldynamics AT shushihuang combinationofmultifocusramanspectroscopyandcompressivesensingforparallelmonitoringofsinglecelldynamics AT pengfeizhang combinationofmultifocusramanspectroscopyandcompressivesensingforparallelmonitoringofsinglecelldynamics AT guiwenwang combinationofmultifocusramanspectroscopyandcompressivesensingforparallelmonitoringofsinglecelldynamics |
_version_ |
1718416697366413312 |