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Updated: May 6, 2026

Multimodal Imaging and Spectroscopy Fiber-bundle Microendoscopy Platform for Non-invasive, In Vivo Tissue Analysis
Published on: October 17, 2016
Multivariate reference technique for quantitative analysis of fiber-optic tissue Raman spectroscopy
Mads Sylvest Bergholt1, Shiyamala Duraipandian, Wei Zheng
1Optical Bioimaging Laboratory, Department of Biomedical Engineering, Faculty of Engineering, National University of Singapore , Singapore 117576.
A new multivariate reference technique uses fused silica and sapphire signals for accurate, real-time quantitative analysis in vivo tissue Raman spectroscopy. This method improves laser power prediction and standardizes measurements for applications like Raman endoscopy.
Area of Science:
- Biomedical Optics
- Spectroscopy
- Medical Diagnostics
Background:
- Quantitative analysis of in vivo tissue Raman spectroscopy is crucial for accurate medical diagnostics.
- Variations in laser excitation power and fiber coupling efficiency can affect Raman signal intensity and reliability.
- Existing univariate methods for correcting these variations are less effective.
Purpose of the Study:
- To develop and evaluate a novel multivariate reference technique for real-time quantitative analysis of in vivo tissue Raman measurements.
- To improve the accuracy and standardization of tissue Raman spectroscopy by correcting for laser power and fiber coupling variations.
- To demonstrate the applicability of this technique in challenging settings, such as Raman endoscopy.
Main Methods:
- Utilized multivariate reference signals from fused silica and sapphire within a ball-lens fiber-optic Raman probe.
- Applied Partial Least-Squares (PLS) regression modeling to extract internal reference Raman signals.
- Evaluated the technique using in vivo oral tissue measurements (n=25) and gelatin tissue phantoms.
Main Results:
- Achieved accurate prediction of laser excitation power changes with a leave-one-subject-out cross-validation (R(2)=0.981, RMSECV=2.5 mW), outperforming univariate methods (RMSE=6.2 mW).
- Demonstrated real-time laser power prediction with an RMSEP of 2.4 mW (R(2)=0.985) on new subjects.
- Quantified gelatin tissue phantoms with an RMSEP of ~2.0% (R(2)=0.998), independent of laser power variations.
Conclusions:
- The multivariate reference technique effectively monitors and corrects in situ variations in laser excitation power and fiber coupling efficiency.
- This method standardizes tissue Raman intensity, enabling reliable quantitative analysis for in vivo applications.
- The technique shows significant promise for advancing quantitative Raman spectroscopy, particularly in endoscopic settings.
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