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Updated: May 16, 2026
08:49
Multimodal Nonlinear Hyperspectral Chemical Imaging Using Line-Scanning Vibrational Sum-Frequency Generation Microscopy
Published on: December 1, 2023
Quantitative vibrational imaging by hyperspectral stimulated Raman scattering microscopy and multivariate curve
Delong Zhang1, Ping Wang, Mikhail N Slipchenko
1Department of Chemistry, Purdue University, West Lafayette, Indiana 47907, United States.
Analytical Chemistry
|December 4, 2012
Summary
Hyperspectral stimulated Raman loss (SRL) imaging combined with multivariate curve resolution (MCR) enables quantitative chemical mapping. This technique can resolve complex molecular mixtures in biological samples, including cancer cells.
Area of Science:
- Biophotonics and Spectroscopic Imaging
- Chemical Microscopy and Analysis
Background:
- Spectroscopic imaging is vital for identifying molecules in biological systems.
- Accurate molecular identification requires advanced imaging techniques capable of resolving complex mixtures.
Purpose of the Study:
- To demonstrate hyperspectral stimulated Raman loss (SRL) imaging for quantitative molecular analysis.
- To apply multivariate curve resolution (MCR) for component separation and spectral retrieval in complex samples.
Main Methods:
- Utilized femtosecond pulse shaping for intrapulse spectral scanning to acquire hyperspectral SRL data.
- Employed multivariate curve resolution (MCR) for analyzing hyperspectral image stacks.
- Reconstructed quantitative concentration maps and vibrational Raman spectra of individual components.
Main Results:
- Successfully performed quantitative mapping of dimethyl sulfoxide in aqueous solutions and fat tissue.
- Generated chemical component maps and spectra from hyperspectral SRL images of breast cancer cells.
- Demonstrated the ability to resolve overlapped Raman bands in complex biomolecular mixtures.
Conclusions:
- Hyperspectral SRL microscopy offers powerful capabilities for quantitative imaging.
- The combination of SRL imaging and MCR analysis enables precise mapping of molecular concentrations.
- This approach holds significant potential for analyzing complicated biomolecule mixtures in biological research.
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