Visible resonance Raman spectroscopy detect key molecular biomarker vibrations to characterize for human brain gliomas

Yan Zhou; Cheng Hui Liu; Binlin Wu; Xinguang Yu; Gangge Cheng; Chunyuan Zhang; Hong Chen; Shenglin Li; Rui Zong; Qijun Liang; Ce Zhang; Mingqian Zhang; Cuicui Lu; Ke Zhu; Robert R. Alfano

doi:10.1117/12.2318751

Visible resonance Raman spectroscopy detect key molecular biomarker vibrations to characterize for human brain gliomas

Yan Zhou^*, Cheng Hui Liu, Binlin Wu, Xinguang Yu, Gangge Cheng, Chunyuan Zhang, Hong Chen, Shenglin Li, Rui Zong, Qijun Liang, Ce Zhang, Mingqian Zhang, Cuicui Lu, Ke Zhu, Robert R. Alfano

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

1 Citation (Scopus)

Abstract

Visible resonant Raman (VRR) spectroscopy provides an effective way to enhance Raman signal from particular bonds associated with key molecules due to changes on molecular level. This paper reports on the VRR use for detection of human brain the control and gliomas of three grades. From the RR spectra additional two molecular vibrational biomarkers at 1129cm^-1 and 1338cm^-1, for the four types of brain tissues are significantly different in intensity. The new RR spectral peaks can be used as molecular biomarkers to evaluate glioma grades and identify the margin of gliomas from the controls. The metabolic process of glioma cells based on the RR spectral changes may reveal the Warburg hypothesis.

Original language	English
Title of host publication	Biomedical Imaging and Sensing Conference
Editors	Toyohiko Yatagai, Yoshihisa Aizu, Osamu Matoba, Yasuhiro Awatsuji, Yuan Luo
Publisher	SPIE
ISBN (Electronic)	9781510619791
DOIs	https://doi.org/10.1117/12.2318751
Publication status	Published - 2018
Externally published	Yes
Event	Biomedical Imaging and Sensing Conference 2018 - Yokohama, Japan Duration: 25 Apr 2018 → 27 Apr 2018

Publication series

Name	Proceedings of SPIE - The International Society for Optical Engineering
Volume	10711
ISSN (Print)	0277-786X
ISSN (Electronic)	1996-756X

Conference

Conference	Biomedical Imaging and Sensing Conference 2018
Country/Territory	Japan
City	Yokohama
Period	25/04/18 → 27/04/18

Keywords

532nm
Visible resonance Raman (VRR)
confical Raman probe
gliomas
human brain tumor

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10.1117/12.2318751

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Zhou, Y., Liu, C. H., Wu, B., Yu, X., Cheng, G., Zhang, C., Chen, H., Li, S., Zong, R., Liang, Q., Zhang, C., Zhang, M., Lu, C., Zhu, K., & Alfano, R. R. (2018). Visible resonance Raman spectroscopy detect key molecular biomarker vibrations to characterize for human brain gliomas. In T. Yatagai, Y. Aizu, O. Matoba, Y. Awatsuji, & Y. Luo (Eds.), Biomedical Imaging and Sensing Conference Article 107110O (Proceedings of SPIE - The International Society for Optical Engineering; Vol. 10711). SPIE. https://doi.org/10.1117/12.2318751

Zhou, Yan ; Liu, Cheng Hui ; Wu, Binlin et al. / Visible resonance Raman spectroscopy detect key molecular biomarker vibrations to characterize for human brain gliomas. Biomedical Imaging and Sensing Conference. editor / Toyohiko Yatagai ; Yoshihisa Aizu ; Osamu Matoba ; Yasuhiro Awatsuji ; Yuan Luo. SPIE, 2018. (Proceedings of SPIE - The International Society for Optical Engineering).

@inproceedings{72b9a767d7104f6097fab83871e060f8,

title = "Visible resonance Raman spectroscopy detect key molecular biomarker vibrations to characterize for human brain gliomas",

abstract = "Visible resonant Raman (VRR) spectroscopy provides an effective way to enhance Raman signal from particular bonds associated with key molecules due to changes on molecular level. This paper reports on the VRR use for detection of human brain the control and gliomas of three grades. From the RR spectra additional two molecular vibrational biomarkers at 1129cm-1 and 1338cm-1, for the four types of brain tissues are significantly different in intensity. The new RR spectral peaks can be used as molecular biomarkers to evaluate glioma grades and identify the margin of gliomas from the controls. The metabolic process of glioma cells based on the RR spectral changes may reveal the Warburg hypothesis.",

keywords = "532nm, Visible resonance Raman (VRR), confical Raman probe, gliomas, human brain tumor",

author = "Yan Zhou and Liu, {Cheng Hui} and Binlin Wu and Xinguang Yu and Gangge Cheng and Chunyuan Zhang and Hong Chen and Shenglin Li and Rui Zong and Qijun Liang and Ce Zhang and Mingqian Zhang and Cuicui Lu and Ke Zhu and Alfano, {Robert R.}",

note = "Publisher Copyright: {\textcopyright} 2018 SPIE.; Biomedical Imaging and Sensing Conference 2018 ; Conference date: 25-04-2018 Through 27-04-2018",

year = "2018",

doi = "10.1117/12.2318751",

language = "English",

series = "Proceedings of SPIE - The International Society for Optical Engineering",

publisher = "SPIE",

editor = "Toyohiko Yatagai and Yoshihisa Aizu and Osamu Matoba and Yasuhiro Awatsuji and Yuan Luo",

booktitle = "Biomedical Imaging and Sensing Conference",

address = "United States",

}

Zhou, Y, Liu, CH, Wu, B, Yu, X, Cheng, G, Zhang, C, Chen, H, Li, S, Zong, R, Liang, Q, Zhang, C, Zhang, M, Lu, C, Zhu, K & Alfano, RR 2018, Visible resonance Raman spectroscopy detect key molecular biomarker vibrations to characterize for human brain gliomas. in T Yatagai, Y Aizu, O Matoba, Y Awatsuji & Y Luo (eds), Biomedical Imaging and Sensing Conference., 107110O, Proceedings of SPIE - The International Society for Optical Engineering, vol. 10711, SPIE, Biomedical Imaging and Sensing Conference 2018, Yokohama, Japan, 25/04/18. https://doi.org/10.1117/12.2318751

Visible resonance Raman spectroscopy detect key molecular biomarker vibrations to characterize for human brain gliomas. / Zhou, Yan; Liu, Cheng Hui; Wu, Binlin et al.
Biomedical Imaging and Sensing Conference. ed. / Toyohiko Yatagai; Yoshihisa Aizu; Osamu Matoba; Yasuhiro Awatsuji; Yuan Luo. SPIE, 2018. 107110O (Proceedings of SPIE - The International Society for Optical Engineering; Vol. 10711).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Visible resonance Raman spectroscopy detect key molecular biomarker vibrations to characterize for human brain gliomas

AU - Zhou, Yan

AU - Liu, Cheng Hui

AU - Wu, Binlin

AU - Yu, Xinguang

AU - Cheng, Gangge

AU - Zhang, Chunyuan

AU - Chen, Hong

AU - Li, Shenglin

AU - Zong, Rui

AU - Liang, Qijun

AU - Zhang, Ce

AU - Zhang, Mingqian

AU - Lu, Cuicui

AU - Zhu, Ke

AU - Alfano, Robert R.

PY - 2018

Y1 - 2018

N2 - Visible resonant Raman (VRR) spectroscopy provides an effective way to enhance Raman signal from particular bonds associated with key molecules due to changes on molecular level. This paper reports on the VRR use for detection of human brain the control and gliomas of three grades. From the RR spectra additional two molecular vibrational biomarkers at 1129cm-1 and 1338cm-1, for the four types of brain tissues are significantly different in intensity. The new RR spectral peaks can be used as molecular biomarkers to evaluate glioma grades and identify the margin of gliomas from the controls. The metabolic process of glioma cells based on the RR spectral changes may reveal the Warburg hypothesis.

AB - Visible resonant Raman (VRR) spectroscopy provides an effective way to enhance Raman signal from particular bonds associated with key molecules due to changes on molecular level. This paper reports on the VRR use for detection of human brain the control and gliomas of three grades. From the RR spectra additional two molecular vibrational biomarkers at 1129cm-1 and 1338cm-1, for the four types of brain tissues are significantly different in intensity. The new RR spectral peaks can be used as molecular biomarkers to evaluate glioma grades and identify the margin of gliomas from the controls. The metabolic process of glioma cells based on the RR spectral changes may reveal the Warburg hypothesis.

KW - 532nm

KW - Visible resonance Raman (VRR)

KW - confical Raman probe

KW - gliomas

KW - human brain tumor

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U2 - 10.1117/12.2318751

DO - 10.1117/12.2318751

M3 - Conference contribution

AN - SCOPUS:85049240100

T3 - Proceedings of SPIE - The International Society for Optical Engineering

BT - Biomedical Imaging and Sensing Conference

A2 - Yatagai, Toyohiko

A2 - Aizu, Yoshihisa

A2 - Matoba, Osamu

A2 - Awatsuji, Yasuhiro

A2 - Luo, Yuan

PB - SPIE

T2 - Biomedical Imaging and Sensing Conference 2018

Y2 - 25 April 2018 through 27 April 2018

ER -

Zhou Y, Liu CH, Wu B, Yu X, Cheng G, Zhang C et al. Visible resonance Raman spectroscopy detect key molecular biomarker vibrations to characterize for human brain gliomas. In Yatagai T, Aizu Y, Matoba O, Awatsuji Y, Luo Y, editors, Biomedical Imaging and Sensing Conference. SPIE. 2018. 107110O. (Proceedings of SPIE - The International Society for Optical Engineering). doi: 10.1117/12.2318751

Visible resonance Raman spectroscopy detect key molecular biomarker vibrations to characterize for human brain gliomas

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Keywords

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