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Optimization of a flexible fiber-optic probe for epi-mode quantitative phase imaging
Optics Express
|October 12, 2022
Summary
We optimized a flexible fiber-optic quantitative phase imaging system for label-free microscopy of thick, scattering biological tissues. This advanced optical imaging technology achieves high resolution and sensitivity, enabling detailed visualization of brain samples.
Area of Science:
- Biomedical Optics
- Microscopy
- Optical Imaging
Background:
- Quantitative oblique back-illumination microscopy (qOBM) is an emerging label-free optical imaging technology.
- It enables 3D, tomographic quantitative phase imaging (QPI) with epi-illumination in thick scattering samples.
Purpose of the Study:
- To present a robust optimization of a flexible, fiber-optic-based qOBM system.
- To enable in silico optimization of the phase signal-to-noise-ratio, avoiding tedious experimental tuning.
- To assess sensitivity limits and validate the optimized probe experimentally.
Main Methods:
- In silico optimization of the phase signal-to-noise-ratio over a wide parameter space.
- Development of a flexible, fiber-optic-based qOBM probe.
- Experimental validation and sensitivity assessment of the optimized probe.
- Imaging of rat brain tumor models and human neurosurgery brain tissues.
Main Results:
- The optimized probe is lightweight (∼40g), compact (8mm diameter), and achieves 2µm lateral resolution, 6µm axial resolution, and a 300µm field of view.
- Near video-rate operation (10Hz) with phase sensitivity <20nm (single acquisition) and ∼3 nm (multi-frame averaging).
- Acquired qOBM images of brain tissues showed excellent agreement with free-space qOBM and gold-standard histopathology.
Conclusions:
- The optimized flexible fiber-optic qOBM probe offers a robust, high-performance solution for label-free 3D imaging of thick scattering biological samples.
- This technology demonstrates significant utility in visualizing complex biological structures like brain tissues.
- The in silico optimization approach streamlines system development and enhances imaging performance.

