High-throughput Imaging of Self-luminous Objects through a Single Optical Fiber

TL;DR

This paper introduces a novel method for high-throughput imaging through a single optical fiber by converting spatial information into spectral codes, enabling efficient image transmission of self-luminous objects.

Contribution

The authors propose a spread-spectrum encoding technique for image transmission through optical fibers, demonstrating high throughput and robustness against fiber bending with no moving parts.

Findings

Successful spectral encoding of object pixels using Fabry-Perot etalons

High-throughput 2D imaging of incoherent objects achieved

Technique is insensitive to fiber bending and suitable for miniaturization

Abstract

Imaging through a single optical fiber offers attractive possibilities in many applications such as microendoscopy or remote sensing. However, the direct transmission of an image through an optical fiber is difficult because spatial information is scrambled upon propagation. We demonstrate an image transmission strategy where spatial information is first converted to spectral information. Our strategy is based on a principle of spread-spectrum encoding, borrowed from wireless communications, wherein object pixels are converted into distinct spectral codes that span the full bandwidth of the object spectrum. Image recovery is performed by numerical inversion of the detected spectrum at the fiber output. We provide a simple demonstration of spread-spectrum encoding using Fabry-Perot etalons. Our technique enables the 2D imaging of self-luminous (i.e. incoherent) objects with high throughput in principle independent of pixel number. Moreover, it is insensitive to fiber bending, contains no moving parts, and opens the possibility of extreme miniaturization.