Development of a multiplexing fingerprint and high wavenumber Raman spectroscopy technique for real-time<i>in vivo</i>tissue Raman measurements at endoscopy

Bergholt, Mads Sylvest; Zheng, Wei; Huang, Zhiwei

doi:10.1117/1.jbo.18.3.030502

Cited by 25 publications

(25 citation statements)

References 13 publications

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“…In the FP region (800-1,800 cm À1 ), a fifth-order polynomial was found to be optimal for fitting the AF background in the noisesmoothed spectrum, and this polynomial was then subtracted from the measured FP spectrum to yield the FP tissue Raman spectrum alone. In the HW range (2,800-3,600 cm À1 ), a firstorder polynomial fit was used for removing the AF background (35). The FP/HW Raman spectra are then normalized over the integrated area under the FP and HW ranges to allow a better comparison of the spectral shapes and relative Raman band intensities between normal and IM gastric tissues.…”

Section: Data Preprocessing and Statistical Analysismentioning

confidence: 99%

Rapid Fiber-optic Raman Spectroscopy for Real-Time In Vivo Detection of Gastric Intestinal Metaplasia during Clinical Gastroscopy

Lin

Wang

Zheng

et al. 2016

Cancer Prevention Research

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We report a unique simultaneous fingerprint (FP) and highwavenumber (HW) Raman spectroscopy technique coupled with a beveled fiber-optic Raman probe for improving in vivo detection of gastric intestinal metaplasia (IM)-precancerous lesions in realtime during clinical gastroscopy. A total of 4,520 high-quality in vivo FP/HW gastric Raman spectra (normal ¼ 4,178; IM ¼ 342) were acquired from 157 gastric patients undergoing endoscopic examination. Multivariate diagnostic algorithms based on principal components analysis and linear discriminant analysis together with the leave-one tissue site-out, cross-validation on in vivo tissue Raman spectra yield the diagnostic sensitivities of 89.3%, 89.3%, and 75.0%; specificities of 92.2%, 84.4%, and 82.0%; positive predictive values of 52.1%, 35.2%, and 28.4%; and negative predictive values of 98.9%, 98.8%, and 97.2%, respectively, by using the integrated FP/HW, FP, and HW Raman techniques for identifying IM from normal gastric tissue. Further, ROC curves generated show that the integrated FP/HW Raman technique gives the integration area under the ROC curve of 0.92 for IM classification, which is superior to either FP (0.89) or HW Raman (0.86) technique alone. This work demonstrates for the first time that the simultaneous FP/HW fiber-optic Raman spectroscopy has great potential to enhance early diagnosis of gastric precancer in vivo during routine endoscopic examination. Cancer Prev Res; 9(6); 476-83. Ó2016 AACR.

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Section: Data Preprocessing and Statistical Analysismentioning

confidence: 99%

Rapid Fiber-optic Raman Spectroscopy for Real-Time In Vivo Detection of Gastric Intestinal Metaplasia during Clinical Gastroscopy

Lin

Wang

Zheng

et al. 2016

Cancer Prevention Research

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“…This was performed using the ratio between the integrated area of the keratin peaks (between 2910 and 2960 cm -1 ) and water molecule peaks (between 3350 and 3550 cm -1 ) resulting from -CH 3 stretching vibrations and OH stretch. The integration was performed assuming a linear baseline between 2600 and 3800 cm -1 (Bergholt et al, 2013;Caspers et al, 2000;De Carvalho et al, 2011). The water content (% by mass) is expressed in grams of water per 100 g of skin tissue and was calculated from the ratio of the water-band protein.…”

Section: Data Processingmentioning

confidence: 99%

Confocal Raman spectroscopy: determination of natural moisturizing factor profile related to skin hydration

Teixeira

Rangel

Raniero

et al. 2014

RBEB

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Introduction: Skin health and skin care to reduce the effects of aging are the main interests of many researchers.The skin is very important because it protects the body from various effects of the external environment, and studies of the largest organ of the human body have been conducted since antiquity. In skin, aging effects are severe enough to promote changes in cell structure and biochemical composition. In this study, we quantitatively analyzed the water content and natural moisturizing factor of human facial skin in vivo and in real time by confocal Raman spectroscopy. This non-invasive technique is capable of providing detailed information on the biochemical composition at different depth profiles in the skin. Methods: We studied 10 volunteers, phototype II (40 and 50 years old), using a confocal Raman system to examine the skin surface down to 25 µm. Raman spectra were obtained before product use (T0), and after 30 days of continuous use of cosmetics (T30). Results:The results show a significant increase of 6.4% in water content in the surface layer of the facial skin after the cosmetic use. The amounts of natural moisturizing factor (NMF) compounds were also increased. Urocanic acid underwent a greater change in relation to carboxylic acid pyrrolidone, with a 38.5% increase in the stratum corneum. Conclusion: Confocal Raman spectroscopy identified changes in the biochemical composition of the superficial layers of the epidermis, which suggests the anti-aging efficacy of the formulation.

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“…[4][5][6][7][8][9][10][11][12][13] The intensity of a Raman signal bears a linear relationship to the analyte concentrations, therefore, Raman spectroscopy can be used as a quantitative tool in concentration measurements as well. 1,4,5,[14][15][16][17] An ultimate goal in this field is to develop Raman spectroscopy-based techniques for biomedical applications through instrumentation, [18][19][20][21][22] plasmonic substrates, [23][24][25][26][27] devices, 28,29 assays, 30,31 and techniques. 32,33 Raman spectroscopic measurements, like other optical techniques, pose minimal danger from exposure to ionizing radiation due to the low-energy optical radiation exposure.…”

Section: Introductionmentioning

confidence: 99%

Noninvasive glucose sensing by transcutaneous Raman spectroscopy

2015

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Abstract. We present the development of a transcutaneous Raman spectroscopy system and analysis algorithm for noninvasive glucose sensing. The instrument and algorithm were tested in a preclinical study in which a dog model was used. To achieve a robust glucose test system, the blood levels were clamped for periods of up to 45 min. Glucose clamping and rise/fall patterns have been achieved by injecting glucose and insulin into the ear veins of the dog. Venous blood samples were drawn every 5 min and a plasma glucose concentration was obtained and used to maintain the clamps, to build the calibration model, and to evaluate the performance of the system. We evaluated the utility of the simultaneously acquired Raman spectra to be used to determine the plasma glucose values during the 8-h experiment. We obtained prediction errors in the range of ∼1.5 − 2 mM. These were in-line with a best-case theoretical estimate considering the limitations of the signal-to-noise ratio estimates. As expected, the transition regions of the clamp study produced larger predictive errors than the stable regions. This is related to the divergence of the interstitial fluid (ISF) and plasma glucose values during those periods. Two key contributors to error beside the ISF/plasma difference were photobleaching and detector drift. The study demonstrated the potential of Raman spectroscopy in noninvasive applications and provides areas where the technology can be improved in future studies.

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Development of a multiplexing fingerprint and high wavenumber Raman spectroscopy technique for real-timein vivotissue Raman measurements at endoscopy

Cited by 25 publications

References 13 publications

Rapid Fiber-optic Raman Spectroscopy for Real-Time In Vivo Detection of Gastric Intestinal Metaplasia during Clinical Gastroscopy

Rapid Fiber-optic Raman Spectroscopy for Real-Time In Vivo Detection of Gastric Intestinal Metaplasia during Clinical Gastroscopy

Confocal Raman spectroscopy: determination of natural moisturizing factor profile related to skin hydration

Noninvasive glucose sensing by transcutaneous Raman spectroscopy

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