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Correction for Extrinsic Background in Raman Hyperspectral Images.
J Nicholas Taylor1,2, Aurélien Pélissier1,3, Kentaro Mochizuki4
1Research Institute for Electronic Science, Hokkaido University, Kita 20, Nishi 10, Kita-ku, Sapporo 001-0020, Japan.
Analytical Chemistry
|August 10, 2023
Summary
Extrinsic background in Raman hyperspectral microscopy can skew results. A new extrinsic background correction (EBC) method accurately removes this noise, improving biological sample classification and enabling broader applications.
Area of Science:
- Biological imaging
- Biomedical imaging
- Chemical analysis
Background:
- Raman hyperspectral microscopy is vital for biological and biomedical imaging.
- Spectral fluctuations and contamination challenge Raman spectroscopy analysis.
- Existing methods struggle with extrinsic background, impacting biological applications.
Purpose of the Study:
- To address the issue of extrinsic background in Raman hyperspectral images.
- To develop a method for mitigating extrinsic background effects on classification models.
- To improve the accuracy of distinguishing between benign and malignant samples.
Main Methods:
- Development of extrinsic background correction (EBC).
- Application of EBC to Raman hyperspectral images.
- Classification of follicular thyroid cell lines with and without EBC.
Main Results:
- Extrinsic background significantly impacts classification model accuracy.
- EBC effectively reduces extrinsic background while preserving spectral biological characteristics.
- Classification accuracy improved after applying EBC.
Conclusions:
- EBC is a crucial method for accurate analysis of Raman hyperspectral images.
- The developed EBC method enhances the reliability of biological and biomedical imaging.
- The EBC methodology is adaptable for other hyperspectral and grayscale image types.
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