A. Holographic CDI and Holographic Phase Retrieval Coherent Diffraction Imaging, or CDI, is a scientiﬁc imaging technique used for resolving nanoscale scientiﬁc specimens, such as macroviruses, proteins, and crystals [1]. In CDI, a coherent radiation source (often an X-ray beam) is diffracted after being incident upon a specimen.

av T Rönnberg · 2020 — Retrieval, Automatic Music Genre Classification, Digital Signal Processing, Audio Weinstein (2000, 14-16) explains that the formative phase of heavy metal occurred in the late. 1960's and early 1970's. Holographic Universe. Sickening

Pulse terahertz holography introduced some years ago shows itself as perfect method for overall-object phase retrieval technique, but in the same time it allows measurement with low signal to noise Learned Hardware-in-the-loop Phase Retrieval for Holographic Near-Eye Displays. Holographic displays often show poor image quality due to severe real world deviations in the light propagation compared to the simulated “ideal” light propagation model. We built a holographic display-camera setup (left) to generate data that is used to train a neural Dual-Reference Design for Holographic Phase Retrieval Abstract: A new reference design is introduced for holographic coherent diffraction imaging. This consists in two references-"block" and "pinhole" shaped regions-placed adjacent to the imaging specimen. Because of its simple optical system setup and robust noise tolerance, non-interferometric phase retrieval is an important technique for phase-modulated holographic data storage.

Unlike phase-shifting methods, the off-axis methods just need one hologram in a single shot, which make them suitable for faster imaging by fully exploiting the field of view (FOV) of the camera. The resulting inverse problem, known as holographic phase retrieval, is well-known to have improved problem conditioning relative to the original. This innovation, i.e. Holographic CDI, becomes crucial at the nanoscale, where imaging specimens such as viruses, proteins, and crystals require low-photon measurements. 2019-08-20 · A general mathematical framework and recovery algorithm is presented for the holographic phase retrieval problem. In this problem, which arises in holographic coherent diffraction imaging, a 'reference' portion of the signal to be recovered via phase retrieval is a priori known from experimental design. A general mathematical framework and recovery algorithm is presented for the holographic phase retrieval problem.

- "Holographic Phase Retrieval and Optimal Reference Design" holographic reconstruction using a neural network is also improved by more than 3- and 4-fold compared to multi-height phase retrieval with N holo = 2 and N holo = 3, respectively (see Table 2). The phase retrieval performance of our neural network is further demonstrated by imaging red blood cells (RBCs) in a whole blood smear.

A general mathematical framework and recovery algorithm is presented for the holographic phase retrieval problem. In this problem, which arises in holographic coherent diffraction imaging, a "reference" portion of the signal to be recovered via phase retrieval is a priori known from experimental design.

Applied Optics, Optical Society of America Holographic imaging with a hard x-ray nanoprobe: Ptychographic versus conventional phase retrieval. A. L. Robisch, J. Wallentin, A. Pacureanu, P. Cloetens Fas Retrieval (Numerisk beräkning) J. R. High-resolution synthetic-aperture digital holography with digital phase and pupil correction.

The resulting inverse problem, known as holographic phase retrieval, is well-known to have improved problem conditioning relative to the original. This innovation, i.e. Holographic CDI, becomes crucial at the nanoscale, where imaging specimens such as viruses, proteins, and crystals require low-photon measurements.

This innovation, i.e. Holographic CDI, becomes crucial at the nanoscale, where imaging specimens such as viruses, proteins, and crystals require low-photon measurements. A holographic automotive head-up display was developed to project 2D and 3D ultra-high definition (UHD) images using LiDAR data in the driver’s field of view.

David A. Barmherzig1 and Ju Sun2. 1Center for Computational Mathematics, Flatiron Institute, New York, NY 10010, In this paper, a phase retrieval method based on deep learning is proposed and applied to the phase-modulated holographic storage system. 25 Jul 2019 By multiplexing a first hologram and a second RH from a hologram sequence, two frames of phase distributions can be retrieved at the same time 15 Jun 2020 We present single-shot fast phase information retrieval without interferometry in the holographic data storage. Noninterferometry systems are Learned Hardware-in-the-loop Phase Retrieval for Holographic Near-Eye Holographic displays often show poor image quality due to severe real world the phase retrieval problem for a hologram of a scene at a single depth at a given time by dented holographic phase retrieval quality, while being flexible as a. 26 Nov 2020 Learned hardware-in-the-loop phase retrieval for holographic However, the image quality of existing holographic displays is far from that of Cover story: learning a bilevel hologram dictionary for temporal resolution enhancement in lens-free on-chip video.
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The entailing computation can be further streamlined when certain specific reference shapes are employed. The phase-retrieval algorithms represent the core of the toolbox and are grouped into two major classes, one for the direct-contrast regime and the other for the holographic regime. Depending on the problem and particular algorithm, phase retrieval can be performed with or without the different approximations (weak object) and constraints (pure phase or range constraints, single-material and support constraints). Phase retrieval is the art of acquiring this information which is crucial in surface reconstruction, microscopy, location detection and depth measurements. In this chapter we will first introduce holograp hic based methods, or the digital holography approach, as a solution to the phase retrieval problem.

2021-04-21 Cover story: learning a bilevel hologram dictionary for temporal resolution enhancement in lens-free on-chip video. Publication(s) Images Visualizations Digital refocusing from a holographic snapshot of Paramecium.
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phase holograms by applying a modified GS-based phase retrieval algorithm. Following that, we multiplex multiple of these phase holograms into a latent.

Link to full paper. Low-Photon Holographic Phase Retrieval. Keywords The resulting inverse problem, known as holographic phase retrieval, is well-known to have improved problem conditioning relative to the original. This innovation, i.e. Holographic CDI, becomes crucial at the nanoscale, where imaging specimens such as viruses, proteins, and crystals require low-photon measurements.

Dual-Reference Design for Holographic Phase Retrieval Abstract: A new reference design is introduced for holographic coherent diffraction imaging. This consists in two references-"block" and "pinhole" shaped regions-placed adjacent to the imaging specimen.

A. Holographic CDI and Holographic Phase Retrieval Coherent Diffraction Imaging, or CDI, is a scientiﬁc imaging technique used for resolving nanoscale scientiﬁc specimens, such as macroviruses, proteins, and crystals [1]. In CDI, a coherent radiation source (often an X-ray beam) is diffracted after being incident upon a specimen. Learned Hardware-in-the-loop Phase Retrieval for Holographic Near-Eye Displays. Holographic displays often show poor image quality due to severe real world deviations in the light propagation compared to the simulated “ideal” light propagation model. We built a holographic display-camera setup (left) to generate data that is used to train a neural A general mathematical framework and recovery algorithm is presented for the holographic phase retrieval problem. In this problem, which arises in holographic c A general mathematical framework and recovery algorithm is presented for the holographic phase retrieval problem. In this problem, which arises in holographic phase retrieval is the assumption that the sample interacts sufﬁciently weakly with the X-rays such that the relation (1) can be linearized with respect to the phase and absorption 2021-03-07 A general mathematical framework and recovery algorithm is presented for the holographic phase retrieval problem.

Dual-Reference Design for Holographic Phase Retrieval Abstract: A new reference design is introduced for holographic coherent diffraction imaging. This consists in two references-"block" and "pinhole" shaped regions-placed adjacent to the imaging specimen. Learned Hardware-in-the-loop Phase Retrieval for Holographic Near-Eye Displays.