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1.State Key Laboratory of Information Photonics & Optical Communications, Beijing University of Posts and Telecommunications, Beijing, China
2.Shanghai Institute of Optics and Fine Mechanics, Chinese Academy of Sciences, Shanghai, China
3.Department of Electronics Engineering, Universidad Técnica Federico Santa María, Valparaíso, Chile
4.School of Physical Science and Technology & State Key Laboratory of Advanced Medical Materials and Devices, ShanghaiTech University, Shanghai, China
Zhisheng Yang (zhisheng.yang@bupt.edu.cn)
Fan Yang (yang@siom.ac.cn)
Received:23 June 2025,
Revised:2025-10-21,
Accepted:31 October 2025,
Online First:03 January 2026,
Published:28 February 2026
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Jin, S. M. et al. A framework for spontaneous Brillouin noise: unveiling fundamental limits in Brillouin metrology. Light: Science & Applications, 15, 509-525 (2026).
Jin, S. M. et al. A framework for spontaneous Brillouin noise: unveiling fundamental limits in Brillouin metrology. Light: Science & Applications, 15, 509-525 (2026). DOI: 10.1038/s41377-025-02115-2.
Spontaneous Brillouin scattering (SpBS) enables non-contact probing of mechanical and thermodynamic material properties
underpinning transformative technologies such as distributed optical fiber sensing and high-resolution microscopy. Achieving ultimate precision in these systems demands a fundamental understanding of noise limits. Yet
an intrinsic SpBS noise phenomenon proposed over three decades ago has remained largely unexplored
particularly in metrological contexts. Here
we revisit the physical mechanism and stochastic nature of this long-overlooked noise source
developing a comprehensive analytical framework
validated through dedicated experiments. Crucially
we propose
for the first time
that SpBS noise constitutes a universal and fundamental limit capable of surpassing conventional constraints (e.g.
the shot-noise limit) in spontaneous Brillouin metrological systems
such as imaging
microscopy and sensing. We experimentally demonstrate the SpBS-noise-limited regime in Brillouin imaging and sensing scenarios. This framework establishes a critical foundation for understanding and optimizing the performance of current and future Brillouin-based technologies across a broad range of applications.
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