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Biomolecular Imaging of Cellular Uptake of Nanoparticles using Multimodal Nonlinear Optical Microscopy
Published on: May 16, 2022
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Label-free multimodal imaging with simultaneous two-photon and three-photon microscopy and kernel-based nonlinear
Wentao Wu1,2, Christoph Brandt1, Xin Zhou1
1Department of Electrical and Computer Engineering, University of British Columbia, 5500-2332 Main Mall, Vancouver, BC V6 T 1Z4, Canada.
Biomedical Optics Express
|January 15, 2024
Summary
We developed a compact multimodal imaging system for simultaneous two-photon microscopy (2PM) and three-photon microscopy (3PM). This label-free system captures multiple contrasts, overcoming data processing challenges for advanced biological tissue imaging.
Area of Science:
- Biomedical Optics
- Microscopy
- In Vivo Imaging
Background:
- Simultaneous multimodal imaging offers enhanced biological tissue characterization.
- Label-free imaging techniques are crucial for minimizing perturbation of biological samples.
- Existing multimodal systems often face limitations in simultaneous acquisition and signal separation.
Purpose of the Study:
- To develop a compact system for simultaneous two-photon microscopy (2PM) and three-photon microscopy (3PM).
- To acquire multiple label-free contrasts including two-photon-excitation-fluorescence (2PEF), second harmonic generation (SHG), and third harmonic generation (THG).
- To address challenges in dual-wavelength excitation, signal separation, and data processing for multimodal imaging.
Main Methods:
- Development of a compact multimodal imaging system with dual excitation wavelengths.
- Simultaneous acquisition of 2PM and 3PM signals.
- Implementation of a kernel-based nonlinear scaling (KNS) denoising method for ultra-low signal images.
- Demonstration on various biological tissue samples.
Main Results:
- Successful simultaneous acquisition of 2PM and 3PM images with multiple label-free contrasts (2PEF, SHG, THG).
- Effective separation of 2PM and 3PM signals and management of varying signal levels.
- High-quality multimodal images generated using the KNS denoising method.
- Demonstration of reduced motion artifacts and mechanical drift compared to sequential acquisition.
Conclusions:
- The developed system enables simultaneous multimodal imaging with 2PM and 3PM.
- The KNS method effectively denoises ultra-low signal images, improving image quality.
- Simultaneous acquisition accelerates imaging and minimizes motion artifacts, showing great potential for label-free in vivo imaging of biological tissues.
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