Human glioma tumors detection by a portable visible resonance Raman analyzer with a hand-held optical fiber probe

Yan Zhou; Shengjia Zhang; Binlin Wu; Xinguang Yu; Gangge Cheng; Ke Zhu; Mingyue Zhao; Jichun Zheng; Liang Zhang; Mingqian Zhang; Qijun Liang; Yun Ii Go; Chunyuan Zhang; Cheng Hui Liu; Robert R. Alfano

doi:10.1117/12.2547070

Human glioma tumors detection by a portable visible resonance Raman analyzer with a hand-held optical fiber probe

Yan Zhou^*, Shengjia Zhang, Binlin Wu, Xinguang Yu, Gangge Cheng, Ke Zhu, Mingyue Zhao, Jichun Zheng, Liang Zhang, Mingqian Zhang, Qijun Liang, Yun Ii Go, Chunyuan Zhang, Cheng Hui Liu, Robert R. Alfano

^*Corresponding author for this work

School of Engineering & Physical Sciences

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

5 Citations (Scopus)

112 Downloads (Pure)

Abstract

Based on Visible Resonance Raman (VRR) method, we have developed a novel label-free portable VRR LRR2000 Raman analyzer with a portable fiber-optic probe and used it for the classification of human gliomas ex vivo and for the analysis of changes in tumor chemical compositions in molecular level. The purpose of this study was to examine the performance of the LRR2000 Raman analyzer as an optical biopsy tool for detecting human brain tumors compared to the commercial laboratory HR800 and WITec300 micro confocal Raman spectroscopy instruments. As of 2018, a total 1,938 VRR spectra were collected using LRR2000, HR800 and WITec300 Raman system, ex vivo. Identification of the four grades of glioma tumors and control tissues was performed based on the characteristic native molecular fingerprints. LRR2000 demonstrated consistent diagnostic results with HR800 and WITec300 Raman systems. LRR2000 showed the advantages of high speed, convenience and low cost compared to the two confocal micro Raman systems. Using artificial intelligence (AI)-based analysis of part of the data, the cross-validated accuracy for identifying glioma tumors is ∼90% compared with gold standard histopathology examination.

Original language	English
Title of host publication	Biomedical Vibrational Spectroscopy 2020
Subtitle of host publication	Advances in Research and Industry
Editors	Wolfgang Petrich, Zhiwei Huang
Publisher	SPIE
ISBN (Electronic)	9781510632363
ISBN (Print)	9781510632356
DOIs	https://doi.org/10.1117/12.2547070
Publication status	Published - 21 Feb 2020
Event	SPIE BIOS 2020 - San Francisco, United States Duration: 1 Feb 2020 → 6 Feb 2020

Publication series

Name	Proceedings of SPIE
Volume	11236
ISSN (Print)	1605-7422
ISSN (Electronic)	2410-9045

Conference

Conference	SPIE BIOS 2020
Country/Territory	United States
City	San Francisco
Period	1/02/20 → 6/02/20

Keywords

glioma tumor
handheld LRR2000 analyzer
human brain tissues
optical biopsy
Optical molecular Pathology
principle component analysis(PCA)
support vector machine (SVM)
visible resonance Raman (VRR)

ASJC Scopus subject areas

Electronic, Optical and Magnetic Materials
Biomaterials
Atomic and Molecular Physics, and Optics
Radiology Nuclear Medicine and imaging

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1117/12.2547070

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Copyright 2020 Society of Photo‑Optical Instrumentation Engineers (SPIE). One print or electronic copy may be made for personal use only. Systematic reproduction and distribution, duplication of any material in this publication for a fee or for commercial purposes, and modification of the contents of the publication are prohibited. Proc. SPIE 11236, Biomedical Vibrational Spectroscopy 2020: Advances in Research and Industry, 1123608 (21 February 2020); https://doi.org/10.1117/12.2547070
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Zhou, Y., Zhang, S., Wu, B., Yu, X., Cheng, G., Zhu, K., Zhao, M., Zheng, J., Zhang, L., Zhang, M., Liang, Q., Go, Y. I., Zhang, C., Liu, C. H., & Alfano, R. R. (2020). Human glioma tumors detection by a portable visible resonance Raman analyzer with a hand-held optical fiber probe. In W. Petrich, & Z. Huang (Eds.), Biomedical Vibrational Spectroscopy 2020: Advances in Research and Industry Article 1123608 (Proceedings of SPIE; Vol. 11236). SPIE. https://doi.org/10.1117/12.2547070

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title = "Human glioma tumors detection by a portable visible resonance Raman analyzer with a hand-held optical fiber probe",

abstract = "Based on Visible Resonance Raman (VRR) method, we have developed a novel label-free portable VRR LRR2000 Raman analyzer with a portable fiber-optic probe and used it for the classification of human gliomas ex vivo and for the analysis of changes in tumor chemical compositions in molecular level. The purpose of this study was to examine the performance of the LRR2000 Raman analyzer as an optical biopsy tool for detecting human brain tumors compared to the commercial laboratory HR800 and WITec300 micro confocal Raman spectroscopy instruments. As of 2018, a total 1,938 VRR spectra were collected using LRR2000, HR800 and WITec300 Raman system, ex vivo. Identification of the four grades of glioma tumors and control tissues was performed based on the characteristic native molecular fingerprints. LRR2000 demonstrated consistent diagnostic results with HR800 and WITec300 Raman systems. LRR2000 showed the advantages of high speed, convenience and low cost compared to the two confocal micro Raman systems. Using artificial intelligence (AI)-based analysis of part of the data, the cross-validated accuracy for identifying glioma tumors is ∼90% compared with gold standard histopathology examination.",

keywords = "glioma tumor, handheld LRR2000 analyzer, human brain tissues, optical biopsy, Optical molecular Pathology, principle component analysis(PCA), support vector machine (SVM), visible resonance Raman (VRR)",

author = "Yan Zhou and Shengjia Zhang and Binlin Wu and Xinguang Yu and Gangge Cheng and Ke Zhu and Mingyue Zhao and Jichun Zheng and Liang Zhang and Mingqian Zhang and Qijun Liang and Go, {Yun Ii} and Chunyuan Zhang and Liu, {Cheng Hui} and Alfano, {Robert R.}",

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day = "21",

doi = "10.1117/12.2547070",

language = "English",

isbn = "9781510632356",

series = "Proceedings of SPIE",

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editor = "Wolfgang Petrich and Zhiwei Huang",

booktitle = "Biomedical Vibrational Spectroscopy 2020",

address = "United States",

note = "SPIE BIOS 2020 ; Conference date: 01-02-2020 Through 06-02-2020",

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Zhou, Y, Zhang, S, Wu, B, Yu, X, Cheng, G, Zhu, K, Zhao, M, Zheng, J, Zhang, L, Zhang, M, Liang, Q, Go, YI, Zhang, C, Liu, CH & Alfano, RR 2020, Human glioma tumors detection by a portable visible resonance Raman analyzer with a hand-held optical fiber probe. in W Petrich & Z Huang (eds), Biomedical Vibrational Spectroscopy 2020: Advances in Research and Industry., 1123608, Proceedings of SPIE, vol. 11236, SPIE, SPIE BIOS 2020, San Francisco, California, United States, 1/02/20. https://doi.org/10.1117/12.2547070

Human glioma tumors detection by a portable visible resonance Raman analyzer with a hand-held optical fiber probe. / Zhou, Yan; Zhang, Shengjia; Wu, Binlin et al.
Biomedical Vibrational Spectroscopy 2020: Advances in Research and Industry. ed. / Wolfgang Petrich; Zhiwei Huang. SPIE, 2020. 1123608 (Proceedings of SPIE; Vol. 11236).

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

TY - GEN

T1 - Human glioma tumors detection by a portable visible resonance Raman analyzer with a hand-held optical fiber probe

AU - Zhou, Yan

AU - Zhang, Shengjia

AU - Wu, Binlin

AU - Yu, Xinguang

AU - Cheng, Gangge

AU - Zhu, Ke

AU - Zhao, Mingyue

AU - Zheng, Jichun

AU - Zhang, Liang

AU - Zhang, Mingqian

AU - Liang, Qijun

AU - Go, Yun Ii

AU - Zhang, Chunyuan

AU - Liu, Cheng Hui

AU - Alfano, Robert R.

PY - 2020/2/21

Y1 - 2020/2/21

N2 - Based on Visible Resonance Raman (VRR) method, we have developed a novel label-free portable VRR LRR2000 Raman analyzer with a portable fiber-optic probe and used it for the classification of human gliomas ex vivo and for the analysis of changes in tumor chemical compositions in molecular level. The purpose of this study was to examine the performance of the LRR2000 Raman analyzer as an optical biopsy tool for detecting human brain tumors compared to the commercial laboratory HR800 and WITec300 micro confocal Raman spectroscopy instruments. As of 2018, a total 1,938 VRR spectra were collected using LRR2000, HR800 and WITec300 Raman system, ex vivo. Identification of the four grades of glioma tumors and control tissues was performed based on the characteristic native molecular fingerprints. LRR2000 demonstrated consistent diagnostic results with HR800 and WITec300 Raman systems. LRR2000 showed the advantages of high speed, convenience and low cost compared to the two confocal micro Raman systems. Using artificial intelligence (AI)-based analysis of part of the data, the cross-validated accuracy for identifying glioma tumors is ∼90% compared with gold standard histopathology examination.

AB - Based on Visible Resonance Raman (VRR) method, we have developed a novel label-free portable VRR LRR2000 Raman analyzer with a portable fiber-optic probe and used it for the classification of human gliomas ex vivo and for the analysis of changes in tumor chemical compositions in molecular level. The purpose of this study was to examine the performance of the LRR2000 Raman analyzer as an optical biopsy tool for detecting human brain tumors compared to the commercial laboratory HR800 and WITec300 micro confocal Raman spectroscopy instruments. As of 2018, a total 1,938 VRR spectra were collected using LRR2000, HR800 and WITec300 Raman system, ex vivo. Identification of the four grades of glioma tumors and control tissues was performed based on the characteristic native molecular fingerprints. LRR2000 demonstrated consistent diagnostic results with HR800 and WITec300 Raman systems. LRR2000 showed the advantages of high speed, convenience and low cost compared to the two confocal micro Raman systems. Using artificial intelligence (AI)-based analysis of part of the data, the cross-validated accuracy for identifying glioma tumors is ∼90% compared with gold standard histopathology examination.

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KW - handheld LRR2000 analyzer

KW - human brain tissues

KW - optical biopsy

KW - Optical molecular Pathology

KW - principle component analysis(PCA)

KW - support vector machine (SVM)

KW - visible resonance Raman (VRR)

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U2 - 10.1117/12.2547070

DO - 10.1117/12.2547070

M3 - Conference contribution

AN - SCOPUS:85082770435

SN - 9781510632356

T3 - Proceedings of SPIE

BT - Biomedical Vibrational Spectroscopy 2020

A2 - Petrich, Wolfgang

A2 - Huang, Zhiwei

PB - SPIE

T2 - SPIE BIOS 2020

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ER -

Human glioma tumors detection by a portable visible resonance Raman analyzer with a hand-held optical fiber probe

Abstract

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Conference

Keywords

ASJC Scopus subject areas

UN SDGs

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