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Posthandling Spectral Information Enhancement for Single Cell Raman Molecular Mapping Analysis
Ankit Raj1,2, Nungnit Wattanavichean1,3, Makoto Kawamukai4
1Department of Chemistry and Institute of Molecular Science, National Yang Ming Chiao Tung University, 1001 University Road, Hsinchu 300, Taiwan.
Analytical Chemistry
|October 27, 2025
Summary
This study introduces an objective data analysis method for Raman microspectroscopy, improving molecular mapping of living cells by reducing human error and enabling the identification of minor Raman peaks.
Area of Science:
- Biomedical Engineering
- Spectroscopy
- Cell Biology
Background:
- Label-free Raman microspectroscopy offers non-invasive molecular mapping of living cells.
- Subjective data analysis and human error limit the accuracy and validity of current Raman spectral interpretation.
- Objective postprocessing of large spectral datasets is needed for reliable cellular analysis.
Purpose of the Study:
- To develop an objective data analysis scheme for postprocessing large Raman spectral datasets for molecular mapping of living cells.
- To overcome limitations of subjective interpretation and human error in Raman microspectroscopy.
- To enable precise mapping and identification of minor Raman peaks in cellular biochemical analysis.
Main Methods:
- Spectral data denoising using low-rank approximation.
- Objective background determination from external data points.
- Background subtraction via Hypothetical Addition Multivariate Analysis with Numerical Differentiation (HAMAND) with an automated coefficient.
Main Results:
- Successfully implemented an objective data analysis workflow for Raman spectral data.
- Enabled the identification and precise mapping of previously indiscernible minor Raman peaks.
- Demonstrated quantitative analysis of cellular components by isolating single-cell contributions from complex images.
Conclusions:
- The presented objective analysis scheme enhances the accuracy of molecular mapping in living cells using Raman microspectroscopy.
- This method facilitates the unambiguous identification of minor Raman peaks, improving biochemical analysis.
- The improved workflow supports more reliable spectroscopic analysis of cellular structures and functions.
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