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Updated: Dec 27, 2025

Multimodal Imaging and Spectroscopy Fiber-bundle Microendoscopy Platform for Non-invasive, In Vivo Tissue Analysis

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Single-shot depth profiling by spatio-temporal encoding with a multimode fiber.

Szu-Yu Lee, Pui-Chuen Hui, Brett Bouma

|March 4, 2020

Summary

This summary is machine-generated.

Researchers developed a new computational imaging technique for axial reflectivity profiling. This method uses multimode fiber (MMF) to create unique light patterns, enabling high-resolution depth profiling of samples with a single camera snapshot.

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Area of Science:

Optics and Photonics
Computational Imaging
Biomedical Optics

Background:

Computational imaging utilizes random encoding patterns from light scattering in complex media for advanced imaging systems.
Axial reflectivity profiling is crucial for characterizing sample structures along the depth axis.

Purpose of the Study:

To extend computational imaging principles to axial reflectivity profiling.
To develop a method for high-resolution depth profiling using multimode fibers.

Main Methods:

Generating encoding functions via spatio-temporal coupling of broadband light in a multimode fiber (MMF).
Utilizing interference patterns between MMF-transmitted light and a sample beam for path-length encoding.
Computational reconstruction of axial reflectivity profiles from single camera snapshots.

Main Results:

Demonstrated depth profiling with a bandwidth-limited axial resolution of 13.4 µm.
Achieved a scalable sensing range extending beyond one centimeter.
Successfully reconstructed axial sample reflectivity profiles from single-camera data.

Conclusions:

The proposed method offers a simple yet powerful approach for axial reflectivity profiling.
Multimode fibers provide a versatile platform for generating complex encoding functions for depth profiling.
This technique enables high-resolution, long-range depth characterization with a single snapshot.