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

We address the problem of precise polarization measurement under challenging conditions. To resolve this problem, we introduce a polarization sensor using scattering in a short optical fiber and deep learning. The breakthrough lies in sparse sampling of the scattered light and single-photon sensitivity. The all-fiber sensor achieves unprecedented accuracy, speed, resolution, and stability. Our results solve a long-standing problem of real-time low-light polarization microsensing, opening new paths in biomedical imaging, material research, and quantum technology.

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Publication Details

Published
2025-06-06
DOI
https://doi.org/10.1117/12.3056496
Citations
1
Primary Topic
Optical Coherence Tomography Applications
Type
article
Field-Weighted Citation Impact
0.67
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article

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

Miroslav Ježek, Dominik Vašinka, Martin Bielak
1 citations
Optical Coherence Tomography Applications
0.67
article

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

Miroslav Ježek, Dominik Vašinka, Martin Bielak
article en
1 citations

Abstract

We address the problem of precise polarization measurement under challenging conditions. To resolve this problem, we introduce a polarization sensor using scattering in a short optical fiber and deep learning. The breakthrough lies in sparse sampling of the scattered light and single-photon sensitivity. The all-fiber sensor achieves unprecedented accuracy, speed, resolution, and stability. Our results solve a long-standing problem of real-time low-light polarization microsensing, opening new paths in biomedical imaging, material research, and quantum technology.

Palacký University Olomouc (CZ)
Openalex Percentile: Top 31%
Optical Coherence Tomography Applications
0.67
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All-fiber microendoscopic polarization sensing at single-photon level aided by deep learning — Miroslav Ježek, Dominik Vašinka, et al. · (2025) | TGRS Research Map | TGRS