Introducing non-local correlations into laser speckles

Bender, Nicholas; Yılmaz, Hasan; Bromberg, Yaron; Cao, Hui

doi:10.1364/oe.27.006057

Cited by 19 publications

(14 citation statements)

References 45 publications

(48 reference statements)

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“…In order to further reduce the measurement uncertainty and to become insensitive to larger tilt angles, non-linear calibration functions can be used in the future, which include further significant parameters such as maximum elongation. Another possibility is to compensate tilting influences by adapting the speckle pattern with a spatial light modulator [17,18]. A further perspective for the development of the polychromatic roughness measurement method is completely new evaluation algorithms that separately detect speckle patterns of different wavelengths.…”

Section: Discussionmentioning

confidence: 99%

Roughness Measurements with Polychromatic Speckles on Tilted Surfaces

et al. 2021

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Surface light scattering enables contactless and fast measurements of surface roughness. A surface inclination alters the direction of the scattering beam and thus the measured surface roughness is calculated from the detected intensity distribution. Hence, an accurate sensor–surface alignment is necessary. In order to achieve tilt-independent roughness measurements, a model-based evaluation approach for polychromatic speckle patterns is presented. By evaluating the shape of the superposed speckles, which occur for polychromatic illumination, with regard to the distance to the scattering centre, surfaces with an Sa roughness value in the range of 0.8–3.2 μm are measurable. Experimental investigations demonstrate that the influence of a surface tilt up to ± 1.25° on the roughness measurement is reduced by 90%. As a result, the robustness of the polychromatic speckle roughness measurement is improved, which allows to speed up the adjustment of the measurement system or the surface sample, respectively.

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Section: Discussionmentioning

confidence: 99%

Roughness Measurements with Polychromatic Speckles on Tilted Surfaces

et al. 2021

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“…Using this pattern as the starting point in a local nonlinear optimization algorithm, we search for a solution for the SLM phase pattern which generates this pattern. [35][36][37] A perfect match is impossible, however, due to the existence of phase singularities. Instead, local minima are found that correspond to speckle patterns with nearly uniform intensity apart from the optical vortices.…”

Section: Discussionmentioning

confidence: 99%

Circumventing the optical diffraction limit with customized speckles

Bender

Sun

Yılmaz

et al. 2020

Preprint

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Speckle patterns have been widely used in imaging techniques such as ghost imaging, dynamic speckle illumination microscopy, structured illumination microscopy, and photoacoustic fluctuation imaging. Recent advances in the ability to control the statistical properties of speckles has enabled the customization of speckle patterns for specific imaging applications. In this work, we design and create special speckle patterns for parallelized nonlinear pattern-illumination microscopy based on fluorescence photoswitching. We present a proof-of-principle experimental demonstration where we obtain a spatial resolution three times higher than the diffraction limit of the illumination optics in our setup. Furthermore, we show that tailored speckles vastly outperform standard speckles. Our work establishes that customized speckles are a potent tool in parallelized super-resolution microscopy.

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“…The generated patterns obey Gaussian statistics with low spatial correlation, which makes the imaging system suffer from measurement noise. Thus we redistribute the speckle PDF to satisfy Rayleigh statistics with the local intensity transformation [36] I 0 0 P (I)dI =…”

Section: A Synthesized Colored Noise Speckles and The Spatial Correla...mentioning

confidence: 99%

Superresolving second-order correlation imaging using synthesized colored noise speckles

Li¹,

Nie²,

Yang³

et al. 2021

Preprint

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We present a novel method to synthesize non-trivial speckles that can enable superresolving second-order correlation imaging. The speckles acquire a unique anti-correlation in the spatial intensity fluctuation by introducing the blue noise spectrum to the input light fields through amplitude modulation. Illuminating objects with the blue noise speckle patterns can lead to a sub-diffraction limit imaging system with a resolution more than three times higher than first-order imaging, which is comparable to the resolving power of ninth order correlation imaging with thermal light. Our method opens a new route towards non-trivial speckle generation by tailoring amplitudes of the input light fields and provides a versatile scheme for constructing superresolving imaging and microscopy systems without invoking complicated higher-order correlations.

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Introducing non-local correlations into laser speckles

Cited by 19 publications

References 45 publications

Roughness Measurements with Polychromatic Speckles on Tilted Surfaces

Roughness Measurements with Polychromatic Speckles on Tilted Surfaces

Circumventing the optical diffraction limit with customized speckles

Superresolving second-order correlation imaging using synthesized colored noise speckles

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