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Related Experiment Video

Updated: Jan 20, 2026

Author Spotlight: Advancing SERS Technology: Au@Carbon Dot Nanoprobes for Label-Free Analysis and Imaging
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Development of Selective Plane Illumination Surface Enhanced Raman Scattering Spectral Microscopy for Improved

Abigail E Smith1, Zachary D Schultz1,2

  • 1Department of Chemistry and Biochemistry, The Ohio State University, Columbus, Ohio 43210, USA.

Journal of Raman Spectroscopy : JRS
|January 19, 2026
PubMed
Summary
This summary is machine-generated.

This study introduces selective plane illumination surface enhanced Raman scattering (SPI-SERS) spectral imaging. This novel technique significantly improves contrast and signal-to-noise ratios for SERS imaging in complex biological samples.

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Area of Science:

  • Biophotonics
  • Chemical Imaging
  • Spectroscopy

Background:

  • Spectroscopic imaging combines spatial and chemical analysis but faces challenges in biological samples due to high backgrounds and autofluorescence.
  • Surface-enhanced Raman scattering (SERS) offers specific signals for labeling and monitoring chemical interactions.
  • Previous SERS imaging approaches struggled with high backgrounds, hindering clear signal detection in biological specimens.

Purpose of the Study:

  • To develop a method minimizing out-of-focus scattering for improved SERS spectral imaging.
  • To enhance image contrast and signal-to-noise ratios (SNRs) for SERS analysis in complex biological environments.
  • To enable molecular identification in 3D matrices and cellular samples using SERS.

Main Methods:

  • Integration of selective plane illumination microscopy (SPIM) with wide-field SERS spectral imaging.
  • Development of selective plane illumination surface enhanced Raman scattering (SPI-SERS) spectral imaging.
  • Utilizing a light sheet to illuminate only the focal plane, reducing out-of-focus light.

Main Results:

  • SPI-SERS spectral imaging effectively minimizes out-of-focus scattering.
  • Significant improvements in image contrast and SNRs were observed.
  • Successful molecular identification in 3D matrices and biological cellular samples was achieved.

Conclusions:

  • SPI-SERS spectral imaging offers a powerful approach for high-contrast SERS analysis in complex biological samples.
  • The method enhances the utility of SERS for detailed molecular investigations within biological systems.
  • This advancement holds promise for future applications in biological research and diagnostics.