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Updated: May 10, 2025

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A Multi-Modal Light Sheet Microscope for High-Resolution 3D Tomographic Imaging with Enhanced Raman Scattering and

Pooja Kumari1, Björn Van Marwick1, Johann Kern2

  • 1CeMOS Research and Transfer Center, Mannheim University of Applied Sciences, 68163 Mannheim, Germany.

Sensors (Basel, Switzerland)
|April 26, 2025
PubMed
Summary
This summary is machine-generated.

We developed a new multi-modal Raman light sheet microscope for advanced 3D imaging of cellular models. This label-free system enhances molecular and structural details in complex biological specimens.

Keywords:
3D molecular imagingDeep Image Prior (DIP)fluorescence suppressionlight sheet microscopymulti-modal imagingraman tomographysuper-resolution

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Area of Science:

  • Biomedical Optics
  • Cellular Imaging
  • Biotechnology

Background:

  • Three-dimensional (3D) cellular models are crucial for histology, oncology, and tissue engineering.
  • Advanced imaging techniques are needed to study complex biological phenomena in these models.

Purpose of the Study:

  • To present a novel multi-modal Raman light sheet microscope for label-free, high-resolution 3D imaging.
  • To integrate optical and computational strategies for enhanced imaging of biomolecular and structural features.

Main Methods:

  • Developed a multi-modal microscope capturing elastic (Rayleigh), inelastic (Raman) scattering, and fluorescence signals.
  • Utilized a 532 nm excitation wavelength to enhance Raman scattering efficiency and suppress fluorescence.
  • Integrated a Deep Image Prior (DIP) algorithm for unsupervised denoising and resolution enhancement.

Main Results:

  • Achieved label-free, high-resolution tomographic imaging of 3D cellular models.
  • Demonstrated robust fluorescence suppression, avoiding drawbacks of near-infrared modalities.
  • Preserved critical molecular details and minimized artifacts through computational enhancement.

Conclusions:

  • The developed microscope offers advanced 3D imaging capabilities for complex biological specimens.
  • This synergy of optical and computational methods advances biomedical research, diagnostics, and therapeutics.