Ghost Imaging with Atoms

Khakimov, Roman; Henson, B. M.; Shin, D. K.; Hodgman, Sean; Dall, Robert; Baldwin, K. G. H.; Truscott, A. G.

doi:10.1364/fio.2016.ff3h.7

Cited by 28 publications

(34 citation statements)

References 29 publications

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“…Due to the underlying physics and potential applications in many fields, including lidar [12], tomography [13], and medical imaging [14][15][16], GI has attracted much attention in recent years [17][18][19][20][21][22]. It has also been extended to different domains with certain freedoms of correlation, including atomic domain [23,24], time domain [25][26][27], and spiral imaging [28,29].…”

Section: Introductionmentioning

confidence: 99%

Instant ghost imaging: algorithm and on-chip implementation

Yang¹,

Zhang²,

Liu³

et al. 2020

Opt. Express

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Ghost imaging (GI) is an imaging technique that uses the correlation between two light beams to reconstruct the image of an object. Conventional GI algorithms require large memory space to store the measured data and perform complicated offline calculations, limiting practical applications of GI. Here we develop an instant ghost imaging (IGI) technique with a differential algorithm and an implemented high-speed on-chip IGI hardware system. This algorithm uses the signal between consecutive temporal measurements to reduce the memory requirements without degradation of image quality compared with conventional GI algorithms. The on-chip IGI system can immediately reconstruct the image once the measurement finishes; there is no need to rely on post-processing or offline reconstruction. This system can be developed into a realtime imaging system. These features make IGI a faster, cheaper, and more compact alternative to a conventional GI system and make it viable for practical applications of GI.

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Section: Introductionmentioning

confidence: 99%

Instant ghost imaging: algorithm and on-chip implementation

Yang¹,

Zhang²,

Liu³

et al. 2020

Opt. Express

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“…The field has been advanced by incorporating compressive sensing ideas [12][13][14][15] and studies of turbulent environmental robustness such as lidar systems [16], atmospheric turbulence in thermal imaging [17] and underwater fluctuations in optical imaging [18]. Visible-light ghost imaging has been augmented to achieve absorptioncontrast ghost imaging using x-rays [19][20][21][22][23] and atoms * David.Ceddia@gmail.com [24]. The potential for reduced dose [22], increased resolution, compressive sensing capabilities [12] and turbulence robustness [25] are all under ongoing investigation.…”

Section: Introductionmentioning

confidence: 99%

Random-matrix bases, ghost imaging, and x-ray phase contrast computational ghost imaging

Ceddia

Paganin

2018

Phys. Rev. A

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A theory of random-matrix bases is presented, including expressions for orthogonality, completeness and the random-matrix synthesis of arbitrary matrices. This is applied to ghost imaging as the realization of a random-basis reconstruction, including an expression for the resulting signal-to-noise ratio. Analysis of conventional direct imaging and ghost imaging leads to a criterion which, when satisfied, implies reduced dose for computational ghost imaging. We also propose an experiment for x-ray phase contrast computational ghost imaging, which enables differential phase contrast to be achieved in an x-ray ghost imaging context. We give a numerically robust solution to the associated inverse problem of decoding differential phase contrast x-ray ghost images, to yield a quantitative map of the projected thickness of the sample.

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“…In theory, GI is applicable to any wavelength, and indeed has been recently demonstrated with x-rays [18][19][20] and even atoms 21 . Although the experiment with atoms was beautiful, it is difficult to envisage practical applications, as the object would have to be in the same vacuum chamber as the atoms.…”

mentioning

confidence: 96%

Tabletop x-ray ghost imaging with ultra-low radiation

Zhang

et al. 2018

Optica

280

168

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The use of x-ray imaging in medicine and other research is well known. Generally, the image quality is proportional to the total flux, but high photon energy could severely damage the specimen, so how to decrease the radiation dose while maintaining image quality is a fundamental problem. In "ghost" imaging, an image is retrieved from a known patterned illumination field and the total intensity transmitted through the object collected by a bucket detector. Using a table-top x-ray source we have realized ghost imaging of plane and natural objects with ultra-low radiation on the order of single photons. Compared with conventional x-ray imaging, a higher contrast-to-noise ratio is obtained for the same radiation dose. This new technique could greatly reduce radiation damage of biological specimens.

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Ghost Imaging with Atoms

Cited by 28 publications

References 29 publications

Instant ghost imaging: algorithm and on-chip implementation

Instant ghost imaging: algorithm and on-chip implementation

Random-matrix bases, ghost imaging, and x-ray phase contrast computational ghost imaging

Tabletop x-ray ghost imaging with ultra-low radiation

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