A novel laser scattering spectrum diagnosis method for distinguishing label free cells with tiny different structural properties

Lu Zhang; Xin Zhao; Kaixing Li; Yu Zhang; Wei Chen; Hong Zhao; Zhuangde Jiang; Li Yuan; Nianling Yao

doi:10.1109/ICIEA.2015.7334388

A novel laser scattering spectrum diagnosis method for distinguishing label free cells with tiny different structural properties

Lu Zhang
, Xin Zhao
, Kaixing Li
, Yu Zhang
, Wei Chen
, Hong Zhao
, Zhuangde Jiang
, Li Yuan
, Nianling Yao

Xi'an Jiaotong University
Xijing Hospital

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

Abstract

A novel label free cells identification method is put forward. Even interval incident angle algorithm (EIIA) is developed which is effective in distinguish label free cells with tiny structural property differences. The spectra of human acute leukaemia Jurkat cell models with different nuclei are processed by EIIA to test the sensitivity and reliability of this identification method. According to EIIA processing results, it can be proved that the original heavily compacted spectra are well separated, and some obvious standards which can be adopted to identify abnormal cells from healthy ones emerge. EIIA method provides a valid pathway for identify label free cells simply and directly by their laser scattering spectra. And it may supply an important clinic diagnosis tool to detect malignant cells in early cancerous stage without any dying and marking procedures.

Original language	English
Title of host publication	Proceedings of the 2015 10th IEEE Conference on Industrial Electronics and Applications, ICIEA 2015
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	1718-1722
Number of pages	5
ISBN (Electronic)	9781467373173
DOIs	https://doi.org/10.1109/ICIEA.2015.7334388
State	Published - 20 Nov 2015
Event	10th IEEE Conference on Industrial Electronics and Applications, ICIEA 2015 - Auckland, New Zealand Duration: 15 Jun 2015 → 17 Jun 2015

Publication series

Name	Proceedings of the 2015 10th IEEE Conference on Industrial Electronics and Applications, ICIEA 2015

Conference

Conference	10th IEEE Conference on Industrial Electronics and Applications, ICIEA 2015
Country/Territory	New Zealand
City	Auckland
Period	15/06/15 → 17/06/15

UN SDGs

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

SDG 3 Good Health and Well-being

Keywords

cells
label free
laser
scattering spectrum

Access to Document

10.1109/ICIEA.2015.7334388

Cite this

Zhang, L., Zhao, X., Li, K., Zhang, Y., Chen, W., Zhao, H., Jiang, Z., Yuan, L., & Yao, N. (2015). A novel laser scattering spectrum diagnosis method for distinguishing label free cells with tiny different structural properties. In Proceedings of the 2015 10th IEEE Conference on Industrial Electronics and Applications, ICIEA 2015 (pp. 1718-1722). Article 7334388 (Proceedings of the 2015 10th IEEE Conference on Industrial Electronics and Applications, ICIEA 2015). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICIEA.2015.7334388

Zhang, Lu ; Zhao, Xin ; Li, Kaixing et al. / A novel laser scattering spectrum diagnosis method for distinguishing label free cells with tiny different structural properties. Proceedings of the 2015 10th IEEE Conference on Industrial Electronics and Applications, ICIEA 2015. Institute of Electrical and Electronics Engineers Inc., 2015. pp. 1718-1722 (Proceedings of the 2015 10th IEEE Conference on Industrial Electronics and Applications, ICIEA 2015).

@inproceedings{5e01c4ea54fb49e5afabbf8d4d77a7f9,

title = "A novel laser scattering spectrum diagnosis method for distinguishing label free cells with tiny different structural properties",

abstract = "A novel label free cells identification method is put forward. Even interval incident angle algorithm (EIIA) is developed which is effective in distinguish label free cells with tiny structural property differences. The spectra of human acute leukaemia Jurkat cell models with different nuclei are processed by EIIA to test the sensitivity and reliability of this identification method. According to EIIA processing results, it can be proved that the original heavily compacted spectra are well separated, and some obvious standards which can be adopted to identify abnormal cells from healthy ones emerge. EIIA method provides a valid pathway for identify label free cells simply and directly by their laser scattering spectra. And it may supply an important clinic diagnosis tool to detect malignant cells in early cancerous stage without any dying and marking procedures.",

keywords = "cells, label free, laser, scattering spectrum",

author = "Lu Zhang and Xin Zhao and Kaixing Li and Yu Zhang and Wei Chen and Hong Zhao and Zhuangde Jiang and Li Yuan and Nianling Yao",

note = "Publisher Copyright: {\textcopyright} 2015 IEEE.; 10th IEEE Conference on Industrial Electronics and Applications, ICIEA 2015 ; Conference date: 15-06-2015 Through 17-06-2015",

year = "2015",

month = nov,

day = "20",

doi = "10.1109/ICIEA.2015.7334388",

language = "英语",

series = "Proceedings of the 2015 10th IEEE Conference on Industrial Electronics and Applications, ICIEA 2015",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "1718--1722",

booktitle = "Proceedings of the 2015 10th IEEE Conference on Industrial Electronics and Applications, ICIEA 2015",

}

Zhang, L, Zhao, X, Li, K, Zhang, Y, Chen, W, Zhao, H, Jiang, Z, Yuan, L & Yao, N 2015, A novel laser scattering spectrum diagnosis method for distinguishing label free cells with tiny different structural properties. in Proceedings of the 2015 10th IEEE Conference on Industrial Electronics and Applications, ICIEA 2015., 7334388, Proceedings of the 2015 10th IEEE Conference on Industrial Electronics and Applications, ICIEA 2015, Institute of Electrical and Electronics Engineers Inc., pp. 1718-1722, 10th IEEE Conference on Industrial Electronics and Applications, ICIEA 2015, Auckland, New Zealand, 15/06/15. https://doi.org/10.1109/ICIEA.2015.7334388

A novel laser scattering spectrum diagnosis method for distinguishing label free cells with tiny different structural properties. / Zhang, Lu; Zhao, Xin; Li, Kaixing et al.
Proceedings of the 2015 10th IEEE Conference on Industrial Electronics and Applications, ICIEA 2015. Institute of Electrical and Electronics Engineers Inc., 2015. p. 1718-1722 7334388 (Proceedings of the 2015 10th IEEE Conference on Industrial Electronics and Applications, ICIEA 2015).

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

TY - GEN

T1 - A novel laser scattering spectrum diagnosis method for distinguishing label free cells with tiny different structural properties

AU - Zhang, Lu

AU - Zhao, Xin

AU - Li, Kaixing

AU - Zhang, Yu

AU - Chen, Wei

AU - Zhao, Hong

AU - Jiang, Zhuangde

AU - Yuan, Li

AU - Yao, Nianling

PY - 2015/11/20

Y1 - 2015/11/20

N2 - A novel label free cells identification method is put forward. Even interval incident angle algorithm (EIIA) is developed which is effective in distinguish label free cells with tiny structural property differences. The spectra of human acute leukaemia Jurkat cell models with different nuclei are processed by EIIA to test the sensitivity and reliability of this identification method. According to EIIA processing results, it can be proved that the original heavily compacted spectra are well separated, and some obvious standards which can be adopted to identify abnormal cells from healthy ones emerge. EIIA method provides a valid pathway for identify label free cells simply and directly by their laser scattering spectra. And it may supply an important clinic diagnosis tool to detect malignant cells in early cancerous stage without any dying and marking procedures.

AB - A novel label free cells identification method is put forward. Even interval incident angle algorithm (EIIA) is developed which is effective in distinguish label free cells with tiny structural property differences. The spectra of human acute leukaemia Jurkat cell models with different nuclei are processed by EIIA to test the sensitivity and reliability of this identification method. According to EIIA processing results, it can be proved that the original heavily compacted spectra are well separated, and some obvious standards which can be adopted to identify abnormal cells from healthy ones emerge. EIIA method provides a valid pathway for identify label free cells simply and directly by their laser scattering spectra. And it may supply an important clinic diagnosis tool to detect malignant cells in early cancerous stage without any dying and marking procedures.

KW - cells

KW - label free

KW - laser

KW - scattering spectrum

UR - https://www.scopus.com/pages/publications/84960840598

U2 - 10.1109/ICIEA.2015.7334388

DO - 10.1109/ICIEA.2015.7334388

M3 - 会议稿件

AN - SCOPUS:84960840598

T3 - Proceedings of the 2015 10th IEEE Conference on Industrial Electronics and Applications, ICIEA 2015

SP - 1718

EP - 1722

BT - Proceedings of the 2015 10th IEEE Conference on Industrial Electronics and Applications, ICIEA 2015

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 10th IEEE Conference on Industrial Electronics and Applications, ICIEA 2015

Y2 - 15 June 2015 through 17 June 2015

ER -

Zhang L, Zhao X, Li K, Zhang Y, Chen W, Zhao H et al. A novel laser scattering spectrum diagnosis method for distinguishing label free cells with tiny different structural properties. In Proceedings of the 2015 10th IEEE Conference on Industrial Electronics and Applications, ICIEA 2015. Institute of Electrical and Electronics Engineers Inc. 2015. p. 1718-1722. 7334388. (Proceedings of the 2015 10th IEEE Conference on Industrial Electronics and Applications, ICIEA 2015). doi: 10.1109/ICIEA.2015.7334388

A novel laser scattering spectrum diagnosis method for distinguishing label free cells with tiny different structural properties

Abstract

Publication series

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UN SDGs

Keywords

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