Literature DB >> 15495432

Characterization of malignant tissue cells by laser-induced breakdown spectroscopy.

Akshaya Kumar1, Fang-Yu Yueh, Jagdish P Singh, Shane Burgess.   

Abstract

Cancer diagnosis and classification is extremely complicated and, for the most part, relies on subjective interpretation of biopsy material. Such methods are laborious and in some cases might result in different results depending on the histopathologist doing the examination. Automated, real-time diagnostic procedures would greatly facilitate cancer diagnosis and classification. Laser-induced breakdown spectroscopy (LIBS) is used for the first time to our knowledge to distinguish normal and malignant tumor cells from histological sections. We found that the concentration of trace elements in normal and tumor cells was significantly different. For comparison, the tissue samples were also analyzed by an inductively coupled plasma emission spectroscopy (ICPES) system. The results from the LIBS measurement and ICPES analysis were in good agreement.

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Year:  2004        PMID: 15495432     DOI: 10.1364/ao.43.005399

Source DB:  PubMed          Journal:  Appl Opt        ISSN: 1559-128X            Impact factor:   1.980


  14 in total

Review 1.  Prospects for laser-induced breakdown spectroscopy for biomedical applications: a review.

Authors:  Vivek Kumar Singh; Awadhesh Kumar Rai
Journal:  Lasers Med Sci       Date:  2011-04-28       Impact factor: 3.161

2.  Identification of cervical cancer using laser-induced breakdown spectroscopy coupled with principal component analysis and support vector machine.

Authors:  Jing Wang; Liang Li; Ping Yang; Ying Chen; Yining Zhu; Ming Tong; Zhongqi Hao; Xiangyou Li
Journal:  Lasers Med Sci       Date:  2018-06-26       Impact factor: 3.161

3.  Mapping of cutaneous melanoma by femtosecond laser-induced breakdown spectroscopy.

Authors:  Youngmin Moon; Jung Hyun Han; Jang-Hee Choi; Sungho Shin; Yong-Chul Kim; Sungho Jeong
Journal:  J Biomed Opt       Date:  2018-10       Impact factor: 3.170

4.  Preliminary fsLIBS study on bone tumors.

Authors:  Ruby K Gill; Zachary J Smith; Ripul R Panchal; John W Bishop; Regina Gandour-Edwards; Sebastian Wachsmann-Hogiu
Journal:  Biomed Opt Express       Date:  2015-11-16       Impact factor: 3.732

5.  Discrimination of lymphoma using laser-induced breakdown spectroscopy conducted on whole blood samples.

Authors:  Xue Chen; Xiaohui Li; Sibo Yang; Xin Yu; Aichun Liu
Journal:  Biomed Opt Express       Date:  2018-02-07       Impact factor: 3.732

6.  Differentiation of fibrotic liver tissue using laser-induced breakdown spectroscopy.

Authors:  E Teran-Hinojosa; H Sobral; C Sánchez-Pérez; A Pérez-García; N Alemán-García; J Hernández-Ruiz
Journal:  Biomed Opt Express       Date:  2017-07-24       Impact factor: 3.732

7.  Diagnosis and staging of multiple myeloma using serum-based laser-induced breakdown spectroscopy combined with machine learning methods.

Authors:  Xue Chen; Yao Zhang; Xiaohui Li; Ziheng Yang; Aichun Liu; Xin Yu
Journal:  Biomed Opt Express       Date:  2021-05-21       Impact factor: 3.732

8.  Differentiation of cutaneous melanoma from surrounding skin using laser-induced breakdown spectroscopy.

Authors:  Jung Hyun Han; Youngmin Moon; Jong Jin Lee; Sujeong Choi; Yong-Chul Kim; Sungho Jeong
Journal:  Biomed Opt Express       Date:  2015-12-08       Impact factor: 3.732

9.  Variational study of the constituents of cholesterol stones by laser-induced breakdown spectroscopy.

Authors:  Vivek K Singh; Vinita Rai; A K Rai
Journal:  Lasers Med Sci       Date:  2007-11-28       Impact factor: 3.161

10.  Qualitative tissue differentiation by analysing the intensity ratios of atomic emission lines using laser induced breakdown spectroscopy (LIBS): prospects for a feedback mechanism for surgical laser systems.

Authors:  Rajesh Kanawade; Fanuel Mahari; Florian Klämpfl; Maximilian Rohde; Christian Knipfer; Katja Tangermann-Gerk; Werner Adler; Michael Schmidt; Florian Stelzle
Journal:  J Biophotonics       Date:  2013-12-23       Impact factor: 3.207

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