Dr. Shiyamala Duraipandian Profile

Dr. Shiyamala Duraipandian

Research Engineer at FOCAS Research Institute TU Dublin

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Publications (7)

SPIE Journal Paper | 4 May 2018 Open Access

Improved removal of blood contamination from ThinPrep cervical cytology samples for Raman spectroscopic analysis

Damien Traynor, Shiyamala Duraipandian, Cara Martin, John O'Leary, Fiona Lyng

JBO, Vol. 23, Issue 05, 055001, (May 2018) https://doi.org/10.1117/12.10.1117/1.JBO.23.5.055001

KEYWORDS: Blood, Raman spectroscopy, Cell biology, Contamination, Spectroscopy, Statistical analysis, Cervical cancer, Hydrogen, Diagnostics, Analytical research

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Proceedings Article | 4 March 2014 Paper

Quantitative fiber-optic Raman spectroscopy for tissue Raman measurements

Shiyamala Duraipandian, Mads Bergholt, Wei Zheng, Zhiwei Huang

Proceedings Volume 8939, 89390V (2014) https://doi.org/10.1117/12.2039576

KEYWORDS: Raman spectroscopy, Fiber optics, In vivo imaging, Tissue optics, Tissues, Laser tissue interaction, Fiber optics tests, Laser induced plasma spectroscopy, Sapphire, Biomedical optics

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SPIE Journal Paper | 24 June 2013 Open Access

Near-infrared-excited confocal Raman spectroscopy advances in vivo diagnosis of cervical precancer

Shiyamala Duraipandian, Wei Zheng, Joseph Ng, Jeffrey Low, Arunachalam Ilancheran, Zhiwei Huang

JBO, Vol. 18, Issue 06, 067007, (June 2013) https://doi.org/10.1117/12.10.1117/1.JBO.18.6.067007

KEYWORDS: Raman spectroscopy, Near infrared, Confocal microscopy, Tissues, Atrial fibrillation, In vivo imaging, Diagnostics, Spectroscopy, Tissue optics, Composites

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Proceedings Article | 22 March 2013 Paper

Integrated fingerprint and high wavenumber confocal Raman spectroscopy for in vivo diagnosis of cervical precancer

Shiyamala Duraipandian, Wei Zheng, Joseph Ng, Jeffrey J. Low, A. Ilancheran, Zhiwei Huang

Proceedings Volume 8572, 85720Z (2013) https://doi.org/10.1117/12.2003058

KEYWORDS: Raman spectroscopy, Tissues, In vivo imaging, Tissue optics, Spectroscopy, Diagnostics, Cervix, Confocal microscopy, Proteins, Cancer

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SPIE Journal Paper | 2 August 2012 Open Access

Real-time Raman spectroscopy for in vivo, online gastric cancer diagnosis during clinical endoscopic examination

Shiyamala Duraipandian, Mads Sylvest Bergholt, Wei Zheng, Khek Yu Ho, Ming Teh, Khay Guan Yeoh, Jimmy Bok Yan So, Asim Shabbir, Zhiwei Huang

JBO, Vol. 17, Issue 8, 081418, (August 2012) https://doi.org/10.1117/12.10.1117/1.JBO.17.8.081418

KEYWORDS: Raman spectroscopy, Cancer, Diagnostics, Endoscopy, In vivo imaging, Spectroscopy, Tissues, Tissue optics, Biomedical optics, Principal component analysis

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Optical spectroscopic techniques including reflectance, fluorescence and Raman spectroscopy have shown promising potential for in vivo precancer and cancer diagnostics in a variety of organs. However, data-analysis has mostly been limited to post-processing and off-line algorithm development. In this work, we develop a fully automated on-line Raman spectral diagnostics framework integrated with a multimodal image-guided Raman technique for real-time in vivo cancer detection at endoscopy. A total of 2748 in vivo gastric tissue spectra (2465 normal and 283 cancer) were acquired from 305 patients recruited to construct a spectral database for diagnostic algorithms development. The novel diagnostic scheme developed implements on-line preprocessing, outlier detection based on principal component analysis statistics (i.e., Hotelling’s T2 and Q-residuals) for tissue Raman spectra verification as well as for organ specific probabilistic diagnostics using different diagnostic algorithms. Free-running optical diagnosis and processing time of < 0.5 s can be achieved, which is critical to realizing real-time in vivo tissue diagnostics during clinical endoscopic examination. The optimized partial least squares-discriminant analysis (PLS-DA) models based on the randomly resampled training database (80% for learning and 20% for testing) provide the diagnostic accuracy of 85.6% [95% confidence interval (CI): 82.9% to 88.2%] [sensitivity of 80.5% (95% CI: 71.4% to 89.6%) and specificity of 86.2% (95% CI: 83.6% to 88.7%)] for the detection of gastric cancer. The PLS-DA algorithms are further applied prospectively on 10 gastric patients at gastroscopy, achieving the predictive accuracy of 80.0% (60/75) [sensitivity of 90.0% (27/30) and specificity of 73.3% (33/45)] for in vivo diagnosis of gastric cancer. The receiver operating characteristics curves further confirmed the efficacy of Raman endoscopy together with PLS-DA algorithms for in vivo prospective diagnosis of gastric cancer. This work successfully moves biomedical Raman spectroscopic technique into real-time, on-line clinical cancer diagnosis, especially in routine endoscopic diagnostic applications.

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Proceedings Article | 22 February 2012 Paper

Effect of hormonal variation on in vivo high wavenumber Raman spectra improves cervical precancer detection

Shiyamala Duraipandian, Wei Zheng, Joseph Ng, Jeffrey J. Low, A. Ilancheran, Zhiwei Huang

Proceedings Volume 8214, 82140A (2012) https://doi.org/10.1117/12.906399

KEYWORDS: Raman spectroscopy, Tissues, Cervix, Spectroscopy, Diagnostics, In vivo imaging, Principal component analysis, Molecular spectroscopy, Cancer, Near infrared

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Proceedings Article | 1 February 2012 Paper

Univariate and multivariate methods for chemical mapping of cervical cancer cells

Shiyamala Duraipandian, Wei Zheng, Zhiwei Huang

Proceedings Volume 8219, 82190A (2012) https://doi.org/10.1117/12.908567

KEYWORDS: Raman spectroscopy, Cervical cancer, Cancer, Microscopy, Proteins, Principal component analysis, Tissues, Micro raman spectroscopy, Visualization, Luminescence

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Showing 5 of 7 publications

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