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Biomolecular Imaging of Cellular Uptake of Nanoparticles using Multimodal Nonlinear Optical Microscopy

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A Femtosecond Fiber Laser-Based Compact Label-Free Multimodality Nonlinear Optical Microscopy and Its Ex Vivo

Jia Chen¹, QingZhu Li¹, ZhanQin Zhang²

¹Institute of Photonics and Photon-Technology, Northwest University, Xi'an, China.

Microscopy Research and Technique

|December 13, 2024

Summary

This summary is machine-generated.

Researchers developed a novel nonlinear optical microscopy system for simultaneous imaging. This versatile tool visualizes biological structures with high resolution, enabling advanced label-free imaging applications.

Keywords:

multimodality imaging nonlinear optical microscope second harmonic generation third harmonic generation three‐photon fluorescence

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Area of Science:

Biomedical Optics
Microscopy
Biophotonics

Background:

Nonlinear optical microscopy offers versatile imaging capabilities for biological samples.
Simultaneous multimodal imaging enhances structural and compositional analysis.

Purpose of the Study:

To present an integrated multimode nonlinear optical microscopy system.
To demonstrate its capability for simultaneous second harmonic generation (SHG), third harmonic generation (THG), and three-photon fluorescence (3PEF) imaging.

Main Methods:

Utilized an Er3+-doped femtosecond fiber laser.
Integrated SHG, THG, and 3PEF imaging modalities.
Achieved specific spatial resolutions for each modality (e.g., 1.67 μm for 3PEF).

Main Results:

Successfully visualized plant structures like cell walls, starch particles, chloroplasts, and Hechtian strands.
Visualized skin structures including stratum corneum, epidermis, hair follicles, and collagen.
Demonstrated improved spatial resolution with a high numerical aperture (N.A.) objective.

Conclusions:

The novel system provides simultaneous multimodal nonlinear imaging.
It offers versatile applications in biological imaging, including label-free in vivo and deep tissue imaging.
The system's adaptability with improved optics broadens its utility for advanced research.