All-fiber microendoscopic polarization sensing at single-photon level aided by deep-learning

TL;DR

This paper presents a novel all-fiber, single-photon level polarization sensing technique using deep learning, enabling real-time, high-accuracy measurements in constrained, low-light, and high-speed environments, demonstrated on biological and material samples.

Contribution

The work introduces a fiber-based polarization sensor combined with neural network calibration for accurate, real-time polarization measurement at the single-photon level without moving parts.

Findings

Achieved accurate polarization measurement at single-photon levels.

Validated the method on biological specimens and birefringent materials.

Demonstrated real-time operation in challenging conditions.

Abstract

The polarization of light conveys crucial information about the spatial ordering and optical properties of a specimen. However, precise polarization measurement in challenging conditions, including constrained spaces, low light levels, and high-speed scenarios, remains a severe challenge. Addressing this problem, we introduce a real-time polarization measurement method that is accurate down to a single-photon level and provides complete information about the polarization state. Free of moving components, the polarization sensor utilizes a short rigid piece of few-mode fiber followed by a fiber array and a detector array. The calibration of the sensor relies on a neural network yielding unprecedented accuracy across all polarization states, including partially polarized light. We validate the approach by visualizing the polarization structure of biological specimens and the liquid crystal polymer sample (birefringent USAF test). Our method offers an efficient and reliable solution for real-time polarization sensing and microendoscopy under low-light conditions.