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Direct Comparison of Hyperspectral Stimulated Raman Scattering and Coherent Anti-Stokes Raman Scattering Microscopy for Chemical Imaging
Published on: April 28, 2022
Time-lens based hyperspectral stimulated Raman scattering imaging and quantitative spectral analysis
Ke Wang1, Delong Zhang, Kriti Charan
1School of Applied and Engineering Physics, Cornell University, Ithaca, New York 14853, USA.
Journal of Biophotonics
|July 11, 2013
Summary
We developed a hyperspectral stimulated Raman scattering (SRS) microscope for label-free cell imaging. This advanced microscopy technique can detect low concentrations of chemicals and analyze cellular composition, offering potential for live cell studies.
Area of Science:
- Biomedical Optics
- Spectroscopy
- Microscopy
Background:
- Stimulated Raman scattering (SRS) microscopy enables label-free chemical imaging.
- Existing SRS methods face limitations in speed and spectral resolution.
- Hyperspectral imaging provides rich chemical information but often requires slow acquisition.
Purpose of the Study:
- To demonstrate a novel hyperspectral SRS microscope with enhanced speed and sensitivity.
- To enable label-free chemical analysis of biological samples at the molecular level.
- To explore applications in live cell imaging and disease diagnostics.
Main Methods:
- Utilized spectral-transformed excitation with a synchronized time-lens source and tunable pump pulse.
- Implemented electronic modulation at 2.29 MHz for rapid hyperspectral stimulated Raman loss (SRL) image acquisition.
- Employed multivariate curve resolution analysis for spectral unmixing and component mapping.
Main Results:
- Achieved detection of dimethyl sulfoxide (DMSO) down to 28 mM with a 2 μs time constant.
- Acquired hyperspectral SRL images of prostate cancer cells.
- Successfully decomposed SRL images into concentration maps of CH₂ and CH₃ bonds.
Conclusions:
- The developed hyperspectral SRS microscope offers high sensitivity and speed for label-free imaging.
- The technique allows for detailed chemical analysis of biological samples, including cellular composition.
- This method holds significant potential for advancing live cell imaging and diagnostics by leveraging fingerprint Raman bands.
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