Image Transmission Through a Dynamically Perturbed Multimode Fiber by Deep Learning

Resisi, Shachar; Popoff, Sébastien M.; Bromberg, Yaron

doi:10.1002/lpor.202000553

Cited by 68 publications

(30 citation statements)

References 32 publications

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“…28). Further, neural networks have been used to reconstruct image information in fibers which are subjected to bending [132][133][134][198][199][200][201][202][203] and spectral correlation [204].…”

Section: Image Transmissionmentioning

confidence: 99%

Controlling light propagation in multimode fibers for imaging, spectroscopy, and beyond

Cao¹,

Čižmár²,

Turtaev³

et al. 2023

Adv. Opt. Photon.

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Light transport in a highly multimode fiber exhibits complex behavior in space, time, frequency and polarization, especially in the presence of mode coupling. The newly developed techniques of spatial wavefront shaping turn out to be highly suitable to harness such enormous complexity: a spatial light modulator enables precise characterization of field propagation through a multimode fiber, and by adjusting the incident wavefront it can accurately tailor the transmitted spatial pattern, temporal profile and polarization state. This unprecedented control leads to multimode fiber applications in imaging, endoscopy, optical trapping and microfabrication. Furthermore, the output speckle pattern from a multimode fiber encodes spatial, temporal, spectral and polarization properties of the input light, allowing such information to be retrieved from spatial measurements only. This article provides an overview of recent advances and breakthroughs in controlling light propagation in multimode fibers, and discusses newly emerging applications.

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Section: Image Transmissionmentioning

confidence: 99%

Controlling light propagation in multimode fibers for imaging, spectroscopy, and beyond

Cao¹,

Čižmár²,

Turtaev³

et al. 2023

Adv. Opt. Photon.

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“…Contrarily, the crosstalk of multiple algorithms not only affects the measurement time of the system, but also eliminates part of the effective temperature variation signals, contributing to the phenomenon of underreporting of the system. Thus, novel data processing algorithms such as, the chaos algorithm 168 , 169 and smarter deep learning algorithms based on optical fiber 170 need to be developed.…”

Section: Trendsmentioning

confidence: 99%

Physics and applications of Raman distributed optical fiber sensing

Zhang

2022

Light Sci Appl

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Raman distributed optical fiber sensing has been demonstrated to be a mature and versatile scheme that presents great flexibility and effectivity for the distributed temperature measurement of a wide range of engineering applications over other established techniques. The past decades have witnessed its rapid development and extensive applicability ranging from scientific researches to industrial manufacturing. However, there are four theoretical or technical bottlenecks in traditional Raman distributed optical fiber sensing: (i) The difference in the Raman optical attenuation, a low signal-to-noise ratio (SNR) of the system and the fixed error of the Raman demodulation equation restrict the temperature measurement accuracy of the system. {ii) The sensing distance and spatial resolution cannot be reconciled. (iii) There is a contradiction between the SNR and measurement time of the system. (iv) Raman distributed optical fiber sensing cannot perform dual-parameter detection. Based on the above theoretical and technical bottlenecks, advances in performance enhancements and typical applications of Raman distributed optical fiber sensing are reviewed in this paper. Integration of this optical system technology with knowledge based, that is, demodulation technology etc. can further the performance and accuracy of these systems.

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“…Light scattering is ubiquitous in fog, biological tissues, and other complex media with inhomogeneous and disordered structures, which prohibits direct access to the scene beyond a short transport mean free path, e.g., 100 µm in biological tissues [1]. Over the past two decades, precise manipulation of light has been demonstrated in and through various complex media, promising a wide range of applications in non-invasive deep-tissue imaging [2][3][4][5][6][7][8][9][10][11], microendoscopy [12][13][14][15][16][17][18][19][20][21][22][23][24][25], holographic optical tweezers [26,27], 3D printing [28,29], and optical telecommunications [30][31][32][33][34][35].…”

Section: Introductionmentioning

confidence: 99%

High-Fidelity and High-Speed Wavefront Shaping through Complex Media via Sparsity-Constrained Optimization

Yu¹,

You²

2023

Preprint

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Achieving high-precision light manipulation is crucial for delivering information through complex media with high fidelity. However, existing spatial light modulation devices face a fundamental tradeoff between speed and accuracy, limiting their use in various real-time and qualitydemanding applications. To address this challenge, we propose a physics-based sparsity-constrained optimization framework for enhancing projection quality through complex media at a full DMD frame rate of 22 kHz. By addressing the limited degrees of freedom, scattering effect, and ill-posed and ill-conditioned nature of the inverse problem, our method achieves solutions with higher feasibility, optimality, and better numerical stability simultaneously. In addition, our method is system-agnositc and generalizable, showing consistent performance across different types of complex media. These results demonstrate the potential of our method in paving the way for high-fidelity and highspeed wavefront shaping in complex media, enabling a wide range of applications, such as non-invasive deep brain imaging, high-speed holographic optogenetics, and miniaturized fiber-based 3D printing devices.

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Image Transmission Through a Dynamically Perturbed Multimode Fiber by Deep Learning

Cited by 68 publications

References 32 publications

Controlling light propagation in multimode fibers for imaging, spectroscopy, and beyond

Controlling light propagation in multimode fibers for imaging, spectroscopy, and beyond

Physics and applications of Raman distributed optical fiber sensing

High-Fidelity and High-Speed Wavefront Shaping through Complex Media via Sparsity-Constrained Optimization

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