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Single source CARS-based multimodal microscopy system for biological tissue imaging [Invited].
Mingyu Sheng1, Yuan Zhao1, Zhenguo Wu1,2
1Imaging Unit - Integrative Oncology Department, BC Cancer Research Institute, 675 West 10th Avenue, Vancouver, BC, V5Z 1L3, Canada.
Biomedical Optics Express
|January 15, 2024
Summary
A new multimodal microscopy system combines Coherent Anti-Stokes Raman Scattering (CARS) with multiphoton and reflectance confocal microscopy for detailed biological imaging. This advanced system provides clear 2D and 3D views of ex-vivo tissues at 1 fps.
Area of Science:
- Biomedical Optics
- Microscopy Techniques
- Advanced Imaging
Background:
- Multimodal microscopy offers complementary information for biological sample analysis.
- Coherent Anti-Stokes Raman Scattering (CARS) microscopy provides label-free chemical contrast.
- Integrating multiple imaging modalities enhances diagnostic and research capabilities.
Purpose of the Study:
- To develop and demonstrate a novel CARS-based multimodal microscopy system.
- To integrate CARS, multiphoton microscopy (MPM), and reflectance confocal microscopy (RCM).
- To achieve high-resolution, co-registered imaging of biological tissues.
Main Methods:
- Utilized a single Ti:sapphire femtosecond laser source.
- Implemented spectral selection for vibrational excitation (approx. 2850 cm⁻¹) targeting lipid cells.
- Employed adjustable spectral filters for tunable excitation.
- Achieved imaging speeds of 1 frame-per-second at 1024 × 1024 pixel resolution.
Main Results:
- Successfully generated clear 2D and 3D images of ex-vivo biological samples.
- Demonstrated co-registered imaging across CARS, MPM, and RCM modalities.
- Validated the system's performance using porcine fat, murine skin, and murine liver tissues.
Conclusions:
- The developed CARS-based multimodal microscopy system is effective for high-resolution biological imaging.
- The system's ability to combine multiple modalities offers comprehensive insights into tissue structures and composition.
- This technology holds potential for advanced research in pathology and biomedical diagnostics.
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