Preliminary evaluation of laser-induced breakdown spectroscopy for tissue classification

Yueh, Fang‐Yu; Zheng, Hongbo; Singh, Jagdish P.; Burgess, Shane C.

doi:10.1016/j.sab.2009.07.025

Cited by 88 publications

(52 citation statements)

References 22 publications

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“…That is to say, by observing the intensity of the LIBS spectra, the spectral lines of some elements are selected from whole spectra of LIBS. For example, Yueh et al [14] used hierarchical clustering analysis method, PLSDA, and artificial neural networks successively to classify biological tissues from different organs based on manually selected 21 spectral lines. Wang et al [15] selected the spectral line intensities of CN, Ca, Al, Mg, Mn, Fe, and C 2 as analysis indexes to identify six kinds of tea.…”

Section: Introductionmentioning

confidence: 99%

Automatic determination of optimal spectral peaks for classification of Chinese tea leaves using laser-induced breakdown spectroscopy

Zhang

Zhu

Huang

et al. 2018

International Journal of Agricultural and Biological Engineering

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Abstract:The accurate identification of tea varieties is of great significance to ensure the interests of tea producers and consumers. As a non-destructive or micro damage detection method, laser-induced breakdown spectroscopy (LIBS) has been widely used in the quality detection or classification of agricultural products and food. The objective of this research was to automatically select optimal spectral peaks from the full LIBS spectra, and develop effective classification model for identifying tea varieties. The LIBS spectra covering the region 200-500 nm were measured for 600 Chinese tea leaves including six varieties (i.e. Longjing green tea, Jinhao black tea, Tie Guanyin, Huang Jinya, White peony tea, and Anhua dark tea). A total of 50 optimal spectral peaks were automatically selected from full LIBS spectra (6102) by using the uninformative variable elimination (UVE) and partial least squares projection analysis, and the selected spectral peaks mainly represent the elemental difference in C, Fe, Mg, Mn, Al and Ca. Partial Least Squares Discriminant Analysis (PLS-DA) was used for developing classification model using selected optimal spectral peaks, and yielded the 99.77% classification accuracy for 300 test samples was reached. The results indicate that the proposed method can be used to identify leaf varieties in various tea products.

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Section: Introductionmentioning

confidence: 99%

Automatic determination of optimal spectral peaks for classification of Chinese tea leaves using laser-induced breakdown spectroscopy

Zhang

Zhu

Huang

et al. 2018

International Journal of Agricultural and Biological Engineering

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show abstract

“…LIBS has been used in several applications as the analysis of geological samples [16], environmental monitoring [17], process control [18], archeological artifacts [19,20] and most recently, in space exploration [21]. Furthermore, LIBS was used in characterization and differentiation of tissues [22], bacteria [23], normal and malignant tissues [24,25] and detection of biological agents [26].…”

Section: Introductionmentioning

confidence: 99%

“…However, the use of internal standards could produce inconsistent results when water is present in the analyzed tissues [31]. Other works [22,32], implemented multivariate statistical techniques to distinguish between different samples. In particular, the application of Principal Component Analysis (PCA) has demonstrated its worth to find patterns in confusing data sets [33].…”

Section: Introductionmentioning

confidence: 99%

Differentiation of fibrotic liver tissue using laser-induced breakdown spectroscopy

Terán-Hinojosa¹,

Sobral²,

Sánchez‐Pérez³

et al. 2017

Biomed. Opt. Express

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Hepatic cirrhosis is a major cause of morbidity and mortality worldwide due to hepatitis C, alcoholism and fatty liver disease associated with obesity. Assessment of hepatic fibrosis relies in qualitative histological evaluation of biopsy samples. This method is timeconsuming and depends on the histopathologists' interpretation. In the last decades, noninvasive techniques were developed to detect and monitor hepatic fibrosis. Laser-induced breakdown spectroscopy (LIBS) is a good candidate for a real-time, independent and fast technique to diagnose hepatic fibrosis. In this work LIBS was employed to characterize rat liver tissues with different stages of fibrosis. Depth profiling measurements were carried out by using a nanosecond Nd:YAG laser operated at the fundamental wavelength and an echelle spectrometer coupled with an ICCD camera. Due to the soft nature of the samples, plasma conditions largely change between consecutives shots. Thus, a theoretically supported procedure to correct the spectral line intensities was implemented. This procedure allows the reduction of the intensities' dispersion from 67% to 12%. After the correction, the LIBS signal shows an enhancement in calcium intensity by a factor of three as the fibrosis progressed. Calcium is known to increase crosslinking of extracellular matrix proteins in the fibrous septa. Therefore, our result singles it out as a key participant in the hepatic fibrosis.

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“…ElHussein et al (2010) published an interesting in vitro study that used LIBS to identify and characterize some types of human malignancies. LIBS was also used by Yueh et al (2009) for the analysis of chicken brain, lung, spleen, liver, kidney, and skeletal muscle. LIBS has also been used in other biological applications such as bacteria identification (Steven et al 2007) and biological tissues mapping to follow up the distribution of certain elements (Sancey et al 2014).…”

Section: Introductionmentioning

confidence: 99%

Monitoring of somatic cells in milk via laser analytical techniques for the early detection of mastitis

Abdel‐Salam

Attala

Daoud

et al. 2015

Dairy Sci. & Technol.

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Mastitis is an inflammatory infection of the mammary glands in dairy cattle, which causes a pronounced increase in milk somatic cell count accompanied by changes in milk elemental and molecular composition. The aim of the present study was to use different laser analytical techniques for fast, accurate, and easy diagnosis of mastitis. Both laser-induced breakdown spectroscopy (LIBS) and laser-induced fluorescence (LIF) techniques were used for this purpose. The study was performed on milk samples taken from 150 Holstein cows. The results obtained by LIBS showed that in healthy milk (milk from uninfected cows), the intensities of calcium spectral lines were clearly higher than in mastitic milk samples. On the contrary, the intensities of the two sodium D-lines were higher in mastitic milk than in the healthy milk. A linear relationship exists between the sodium spectral line intensities and the average of corresponding somatic cell count (SCC). Adopting LIF, the fluorescence intensity was also found to correlate linearly with the SCC of milk samples. Comparing the two proposed laser analytical techniques with other conventional techniques showed that the proposed techniques are faster, much easier, costeffective, and can be used in situ to monitor somatic cells for diagnosis of mastitis.

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Preliminary evaluation of laser-induced breakdown spectroscopy for tissue classification

Cited by 88 publications

References 22 publications

Automatic determination of optimal spectral peaks for classification of Chinese tea leaves using laser-induced breakdown spectroscopy

Automatic determination of optimal spectral peaks for classification of Chinese tea leaves using laser-induced breakdown spectroscopy

Differentiation of fibrotic liver tissue using laser-induced breakdown spectroscopy

Monitoring of somatic cells in milk via laser analytical techniques for the early detection of mastitis

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