Cellular features revealed by transverse laser modes in frequency domain

Biological lasers which utilize Fabry-Pérot (FP) cavities have attracted tremendous interest due to their potential in amplifying subtle biological changes. Transverse laser modes generated from cells serve as distinct fingerprints of individual cells; however, most lasing signals lack the ability t...

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Main Authors: Qiao, Zhen, Xu, Hongmei, Zhang, Na, Gong, Xuerui, Gong, Chaoyang, Yang, Guang, Chew, Sing Yian, Huang, Changjin, Chen, Yu-Cheng
Other Authors: School of Electrical and Electronic Engineering
Format: Journal Article
Language:English
Published: 2022
Subjects:
Online Access:https://hdl.handle.net/10356/160796
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author Qiao, Zhen
Xu, Hongmei
Zhang, Na
Gong, Xuerui
Gong, Chaoyang
Yang, Guang
Chew, Sing Yian
Huang, Changjin
Chen, Yu-Cheng
author2 School of Electrical and Electronic Engineering
author_facet School of Electrical and Electronic Engineering
Qiao, Zhen
Xu, Hongmei
Zhang, Na
Gong, Xuerui
Gong, Chaoyang
Yang, Guang
Chew, Sing Yian
Huang, Changjin
Chen, Yu-Cheng
author_sort Qiao, Zhen
collection NTU
description Biological lasers which utilize Fabry-Pérot (FP) cavities have attracted tremendous interest due to their potential in amplifying subtle biological changes. Transverse laser modes generated from cells serve as distinct fingerprints of individual cells; however, most lasing signals lack the ability to provide key information about the cell due to high complexity of transverse modes. The missing key, therefore, hinders it from practical applications in biomedicine. This study reveals the key mechanism governing the frequency distributions of transverse modes in cellular lasers. Spatial information of cells including curvature can be interpreted through spectral information of transverse modes by means of hyperspectral imaging. Theoretical studies are conducted to explore the correlation between the cross-sectional morphology of a cell and lasing frequencies of transverse modes. Experimentally, the spectral characteristics of transverse modes are investigated in live and fixed cells with different morphological features. By extracting laser modes in frequency domain, the proposed concept is applied for studying cell adhesion process and cell classification from rat cortices. This study expands a new analytical dimension of cell lasers, opening an avenue for subcellular analysis in biophotonic applications.
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spelling ntu-10356/1607962022-08-03T01:43:12Z Cellular features revealed by transverse laser modes in frequency domain Qiao, Zhen Xu, Hongmei Zhang, Na Gong, Xuerui Gong, Chaoyang Yang, Guang Chew, Sing Yian Huang, Changjin Chen, Yu-Cheng School of Electrical and Electronic Engineering School of Mechanical and Aerospace Engineering School of Chemical and Biomedical Engineering Lee Kong Chian School of Medicine (LKCMedicine) Engineering::Electrical and electronic engineering Cell curvature Cell Lasers Biological lasers which utilize Fabry-Pérot (FP) cavities have attracted tremendous interest due to their potential in amplifying subtle biological changes. Transverse laser modes generated from cells serve as distinct fingerprints of individual cells; however, most lasing signals lack the ability to provide key information about the cell due to high complexity of transverse modes. The missing key, therefore, hinders it from practical applications in biomedicine. This study reveals the key mechanism governing the frequency distributions of transverse modes in cellular lasers. Spatial information of cells including curvature can be interpreted through spectral information of transverse modes by means of hyperspectral imaging. Theoretical studies are conducted to explore the correlation between the cross-sectional morphology of a cell and lasing frequencies of transverse modes. Experimentally, the spectral characteristics of transverse modes are investigated in live and fixed cells with different morphological features. By extracting laser modes in frequency domain, the proposed concept is applied for studying cell adhesion process and cell classification from rat cortices. This study expands a new analytical dimension of cell lasers, opening an avenue for subcellular analysis in biophotonic applications. Agency for Science, Technology and Research (A*STAR) Published version This research was supported by A*STAR under its AME YIRG Grant (Project No. A2084c0063). 2022-08-03T01:43:12Z 2022-08-03T01:43:12Z 2022 Journal Article Qiao, Z., Xu, H., Zhang, N., Gong, X., Gong, C., Yang, G., Chew, S. Y., Huang, C. & Chen, Y. (2022). Cellular features revealed by transverse laser modes in frequency domain. Advanced Science, 9(1), 2103550-. https://dx.doi.org/10.1002/advs.202103550 2198-3844 https://hdl.handle.net/10356/160796 10.1002/advs.202103550 34841743 2-s2.0-85119960076 1 9 2103550 en A2084c0063 Advanced Science © 2021 The Authors. Advanced Science published by Wiley-VCH GmbH.This is an open access article under the terms of the Creative CommonsAttribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. application/pdf
spellingShingle Engineering::Electrical and electronic engineering
Cell curvature
Cell Lasers
Qiao, Zhen
Xu, Hongmei
Zhang, Na
Gong, Xuerui
Gong, Chaoyang
Yang, Guang
Chew, Sing Yian
Huang, Changjin
Chen, Yu-Cheng
Cellular features revealed by transverse laser modes in frequency domain
title Cellular features revealed by transverse laser modes in frequency domain
title_full Cellular features revealed by transverse laser modes in frequency domain
title_fullStr Cellular features revealed by transverse laser modes in frequency domain
title_full_unstemmed Cellular features revealed by transverse laser modes in frequency domain
title_short Cellular features revealed by transverse laser modes in frequency domain
title_sort cellular features revealed by transverse laser modes in frequency domain
topic Engineering::Electrical and electronic engineering
Cell curvature
Cell Lasers
url https://hdl.handle.net/10356/160796
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