A Review of Ghost Imaging via Sparsity Constraints

Han, Shensheng; Ye, Hong; Shen, Xia; Liu, Honglin; Gong, Wenlin; Liu, Zhentao

doi:10.3390/app8081379

Cited by 46 publications

(21 citation statements)

References 112 publications

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“…Later on, Han et al 5 combined ghost imaging via sparsity constraint (GISC) with Fourier‐transform for the image reconstruction. GISC has successfully applied to LiDAR, spectral camera and Lensless Wiener‐Khinchin Telescope, which has been further expanded into the X‐ray range.…”

Section: High‐quality Image Reconstruction Strategiesmentioning

confidence: 99%

A review of high‐resolution microscopic ghost imaging with a low‐dose pseudothermal light

Tuitje

Spielmann

2021

Journal of Microscopy

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High-resolution imaging is an important issue in various fields of scientific researches and engineering applications. Pseudothermal ghost imaging is one of the subfields of quantum imaging, providing new capabilities beyond conventional imaging methods. Also, it can provide a new viewpoint of imaging physical mechanisms. In this review, we explain the major ideas of pseudothermal ghost imaging, restricting the very important case of high-resolution imaging.We analyse the strategies which can significantly improve the image quality in pseudothermal ghost imaging. It may apply for merging it with common optical imaging methods in the extreme ultraviolet (XUV) or X-ray spectral regime for driving the applications to a wider audience in bioscience and nano-physics. K E Y W O R D Sghost imaging, microscopic, pseudothermal light, resolution Key points1. Ghost imaging, based on multiplexing, can help overcome specific kinds of noise. It can offer a way to alleviate the irreversible damage to the sample, because the object does not interact with the CCD camera. 2. Pseudothermal light sources have a substantially higher flux, so the performance of the pseudothermal ghost imaging system can exceed those based upon parametric down-conversion sources.3. XUV and X-ray radiography are invaluable tools for the analysis of biological samples and in nano-physics. The pseudothermal ghost imaging can easily be transferred into the XUV and X-ray regime without a lens, whereas parametric down-conversion is restricted to the visible and infrared range. 4. The main drawbacks of pseudothermal ghost imaging are longer acquisition times and the large number of measurements required for image recovery. At present, the resolution of microscopic ghost imaging has never reached the level of traditional microscopic imaging.This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

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Section: High‐quality Image Reconstruction Strategiesmentioning

confidence: 99%

A review of high‐resolution microscopic ghost imaging with a low‐dose pseudothermal light

Tuitje

Spielmann

2021

Journal of Microscopy

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“…2) Imaging process, we can obtain the speckle pattern intensity distribution ( ', ') t ij I from all fluorophores within the imaged specimen to achieve a super-resolution reconstructed image by calculating the second-order intensity correlation between the calibration speckles and one imaging speckle. The second-order correlation function is expressed as [26]   ' ' In GISC nanoscopy, the resolution of imaging is determined by three aspects: 1) Resolution of GI, which is related to the mutual-correlation function of speckle patterns and can be optimized by adjusting the position of random phase modulator between the tube lens and detector and the parameters of the random phase modulator [30]. Fig.…”

Section: Theorymentioning

confidence: 99%

Single-frame wide-field nanoscopy based on ghost imaging via sparsity constraints

Tong

Xiao

et al. 2019

Optica

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The applications of present nanoscopy techniques for live cell imaging are limited by the long sampling time and low emitter density. Here we developed a new single frame wide-field nanoscopy based on ghost imaging via sparsity constraints (GISC Nanoscopy), in which a spatial random phase modulator is applied in a wide-field microscopy to achieve random measurement for fluorescence signals.This new method can effectively utilize the sparsity of fluorescence emitters to dramatically enhance the imaging resolution to 80 nm by compressive sensing (CS) reconstruction for one raw image. The ultrahigh emitter density of 143 μm -2 has been achieved while the precision of single-molecule localization below 25 nm has been maintained. Thereby working with high-density of photo-switchable fluorophores GISC nanoscopy can reduce orders of magnitude sampling frames compared with previous singlemolecule localization based super-resolution imaging methods.

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“…Ghost imaging is one of the subfields of quantum imaging that exploits quantum or spatial intensity-fluctuation correlations to image objects with resolution, contrast, or other imaging criteria that can go beyond classical optics [1][2][3]. Ghost imaging can nonlocally image an object using photons that have not interacted with the object [4]. Theories and experiments have shown that both entangled photon interference and classical intensity-fluctuation correlations could be used for ghost imaging.…”

Section: Introductionmentioning

confidence: 99%

Improving the Contrast of Pseudothermal Ghost Images Based on the Measured Signal Distribution of Speckle Fields

2021

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In this study, we examine the quality of microscale ghost images as a function of the measured histographic signal distribution of the speckle fields from a nonuniform pseudothermal light source. This research shows that the distribution of the detected signal level on each pixel of the camera plays a significant role in improving the contrast-to-noise ratio (CNR) of pseudothermal ghost imaging. To our knowledge, the scaling of CNR with different pixel intensity distributions of the speckle fields is observed for the first time in the field of pseudothermal microscale ghost imaging. The experimental observations are in very good agreement with numerical analysis. Based on these findings, we can predict the settings for light sources that will maximize the CNR of microscale ghost images.

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A Review of Ghost Imaging via Sparsity Constraints

Cited by 46 publications

References 112 publications

A review of high‐resolution microscopic ghost imaging with a low‐dose pseudothermal light

A review of high‐resolution microscopic ghost imaging with a low‐dose pseudothermal light

Single-frame wide-field nanoscopy based on ghost imaging via sparsity constraints

Improving the Contrast of Pseudothermal Ghost Images Based on the Measured Signal Distribution of Speckle Fields

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