3D Imaging with Double-Helix Point Spread Function and Dynamic Aberration Correction Using a Deformable Mirror

Bilsing, Clemens; Radner, Hannes; Burgmann, Sebastian; Czarske, Jürgen; Büttner, Lars

doi:10.1016/j.optlaseng.2022.107044

Cited by 11 publications

(5 citation statements)

References 32 publications

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“…Moreover, the degree of image distortion caused by spherical aberration is influenced by a range of physical parameters, including cover glass thickness, a refractive index of the sample embedding medium/immersion oil, and sample temperature, all of which are empirical and add to the complexity of the problem. Typically, there are two physical ways to improve spherical aberration: choosing an appropriate immersion oil or adding adaptive optics in the imaging path 87,[104][105][106][107] . In recent years, algorithms have been proposed to improve SIM imaging quality, including PSF engineering 91,108 and tiled reconstruction methods 109,110 .…”

Section: Fourier Domain Reconstruction Algorithmsmentioning

confidence: 99%

Superresolution structured illumination microscopy reconstruction algorithms: a review

Chen,

Zhong,

Hou

et al. 2023

Light Sci Appl

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Structured illumination microscopy (SIM) has become the standard for next-generation wide-field microscopy, offering ultrahigh imaging speed, superresolution, a large field-of-view, and long-term imaging. Over the past decade, SIM hardware and software have flourished, leading to successful applications in various biological questions. However, unlocking the full potential of SIM system hardware requires the development of advanced reconstruction algorithms. Here, we introduce the basic theory of two SIM algorithms, namely, optical sectioning SIM (OS-SIM) and superresolution SIM (SR-SIM), and summarize their implementation modalities. We then provide a brief overview of existing OS-SIM processing algorithms and review the development of SR-SIM reconstruction algorithms, focusing primarily on 2D-SIM, 3D-SIM, and blind-SIM. To showcase the state-of-the-art development of SIM systems and assist users in selecting a commercial SIM system for a specific application, we compare the features of representative off-the-shelf SIM systems. Finally, we provide perspectives on the potential future developments of SIM.

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Section: Fourier Domain Reconstruction Algorithmsmentioning

confidence: 99%

Superresolution structured illumination microscopy reconstruction algorithms: a review

Chen,

Zhong,

Hou

et al. 2023

Light Sci Appl

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“…The phase modulation in the optical field is now a common method to generate arbitrary structure lights and optical imaging [1][2][3][4][5]. For example, the authors generated optical tornado waves using spatial multiplexing on a single-phase modulation device [1].…”

Section: Introductionmentioning

confidence: 99%

“…The authors generated multi-twisted beams with twisted intensity lobes by superimposing helical phases consisting of multiple independent sub-phases with different azimuthal shift factors [2]. Moreover, most of the studies [3][4][5], employed a double helix phase to generate auto-focusing-type chiral optical light [3], achieve three-dimensional (3D) incoherent imaging [4], and detect accurate single image depth [5]. In addition, researchers have confirmed that the metasurfaces also help with phase manipulation, such as the chirality-assisted phase metasurface for independent hologram imaging in the microwave region and the bi-isotropic Huygens' metasurface for wavefront manipulation [6,7].…”

Section: Introductionmentioning

confidence: 99%

Generation of auto-focusing vortex beam via segment vortex phase for imaging edge-enhancement

Lin,

Tao

2024

Phys. Scr.

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The auto-focusing beam based on the circular Airy beam and segmented vortex phase, termed circular Airy segmented vortex beam (CASVB), was generated. During propagation, the focusing properties of the CASVB can be flexibly tunable for multiple degrees of freedom. The results show that the segmentation type of the vortex phase are determined by the number and position of phase jumps, which results in the beam split. Moreover, the number and position of the CASVB gaps coincide with the number and position of the phase jumps. In addition, the edge images can be enhanced by combining the phase of the beam with the phase of the lens. Due to its adjustable number and position of gaps, the CASVB will likely give rise to potential applications in manipulating particles along different segmented intensity trajectories.

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“…Estimating the fluid motion field through the distorted PIV images can only yield erroneous or distorted flow field measurements. In our previous work, a traditional adaptive optics system [18,19] and novel actuator-free adaptive optics technique [20] were used for correction distortion in a PIV imaging system. In [20], we established an adaptive optics technique without wavefront correction devices to correct PIV images, and then estimated the velocity distribution of the flow field using traditional Particle Image Velocimetry algorithms.…”

Section: Introductionmentioning

confidence: 99%

Flow Field Estimation with Distortion Correction Based on Multiple Input Deep Convolutional Neural Networks and Hartmann–Shack Wavefront Sensing

Gao,

Ge,

Zhu

et al. 2024

Photonics

Self Cite

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The precise estimation of fluid motion is critical across various fields, including aerodynamics, hydrodynamics, and industrial fluid mechanics. However, refraction at complex interfaces in the light path can cause image deterioration and lead to severe measurement errors if the aberration changes with time, e.g., at fluctuating air–water interfaces. This challenge is particularly pronounced in technical energy conversion processes such as bubble formation in electrolysis, droplet formation in fuel cells, or film flows. In this paper, a flow field estimation algorithm that can perform the aberration correction function is proposed, which integrates the flow field distribution estimation algorithm based on the Particle Image Velocimetry (PIV) technique and the novel actuator-free adaptive optics technique. Two different multi-input convolutional neural network (CNN) structures are established, with two frames of distorted PIV images and measured wavefront distortion information as inputs. The corrected flow field results are directly output, which are divided into two types based on different network structures: dense estimation and sparse estimation. Based on a series of models, a corresponding dataset synthesis model is established to generate training datasets. Finally, the algorithm performance is evaluated from different perspectives. Compared with traditional algorithms, the two proposed algorithms achieves reductions in the root mean square value of velocity residual error by 84% and 89%, respectively. By integrating both flow field measurement and novel adaptive optics technique into deep CNNs, this method lays a foundation for future research aimed at exploring more intricate distortion phenomena in flow field measurement.

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3D Imaging with Double-Helix Point Spread Function and Dynamic Aberration Correction Using a Deformable Mirror

Cited by 11 publications

References 32 publications

Superresolution structured illumination microscopy reconstruction algorithms: a review

Superresolution structured illumination microscopy reconstruction algorithms: a review

Generation of auto-focusing vortex beam via segment vortex phase for imaging edge-enhancement

Flow Field Estimation with Distortion Correction Based on Multiple Input Deep Convolutional Neural Networks and Hartmann–Shack Wavefront Sensing

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