2020-12-14 · 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.

Holography and phase retrieval in terahertz imaging. Terahertz Emitters, Receivers, and Applications Iv, 2013. Andrei Gorodetsky

Phase retrieval in Digital Holographic Microscopy . High speed, high resolution phase retrieval of off-axis hologram of sparse samples. 1 Sep 2017– 31 Aug 2019. 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. Abstract. A collinear non-interferometric phase retrieval method for holographic data storage is proposed.

Holographic phase retrieval

Phase retrieval and the twin-image problem in digital in-line holographic microscopy can be resolved by iterative reconstruction routines. However, recovering the phase properties of an object in a holo-gram needs an object plane to be chosen correctly for reconstruction. In this work, we present a novel CONFERENCE PROCEEDINGS Papers Presentations Journals. Advanced Photonics Journal of Applied Remote Sensing Learned hardware-in-the-loop phase retrieval for holographic near-eye displays Praneeth Chakravarthula, Ethan Tseng, Tarun Srivastava, Henry Fuchs, Felix Heide Computer Science We present an iterative phase retrieval algorithm that allows the projection of amplitude-controlled speckle-free one-dimensional patterns with a high degree of pattern uniformity. The algorithm, termed the weighted Gerchberg–Saxton with phase-control (GSW-PC), is shown to have the ability to simultaneously control both the phase and amplitude of projected patterns with high diffraction The resulting inverse problem, known as holographic phase retrieval, Keywords: inverse problems, phase retrieval, generative priors, holography, coherent (2020) tested the deep decoder, both untrained neural networks, for Fourier phase retrieval, but did not consider the holographic setting. To the best of our Digital Holography and Phase Retrieval.

Dec 7, 2016 In this report, we propose a subsampled phase retrieval (SPR) algorithm to overcome the spatial-temporal trade-off in holographic video.

Terahertz Emitters, Receivers, and Applications Iv, 2013. Andrei Gorodetsky 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.

This book introduces applications of computer holography, including phase retrieval algorithm, holographic memory, holographic projection, and deep learning

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 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. PDF | A general mathematical framework and recovery algorithm is presented for the holographic phase retrieval problem. In this problem, which arises in | Find, read and cite all the research 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.

Dynamic sampling iterative phase retrieval for holographic data storage Opt Express. 2021 Mar 1;29(5):6726-6736. doi: 10.1364/OE.419630.
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2013-05-31 · Inline holography is a common phase-contrast imaging method which uses free-space propagation to encode the phase signal into measured intensities. However, quantitative retrieval of the sample's 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 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. Phase retrieval and the twin-image problem in digital in-line holographic microscopy can be resolvedby iterative reconstruction routines.

St. The U S Military retrieval a Friedman. Robert L. Michael: The holographic universe.
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be explored in order for phase retrieval to advance. Relatedwork. There has been recent empirical evidence supporting applying a deep learning based approach to holographic imaging, a phase retrieval problem. The authors in [18] show that a neural network with ReLU activation functions can learn to perform holographic image reconstruction. In

The authors in [18] show that a neural network with ReLU activation functions can learn to perform holographic image reconstruction. In Phase retrieval and the twin-image problem in digital in-line holographic microscopy can be resolved by iterative reconstruction routines. However, recovering the phase properties of an object in a hologram needs an object plane to be chosen correctly for reconstruction. In this work, we present a novel multi-wavelength Gerchberg-Saxton algorithm to determine the object plane using single-shot James R Fienup.

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Object plane detection and phase retrieval from single-shot holograms using multi-wavelength in-line holography. Refining particle positions using circular

Direct single-shot phase retrieval from the diffraction . OSA | Direct phase retrieval in double blind Fourier holography. Warren Democrats on research focus on image matching and retrieval, gave an inspiring plenary lecture where she for example Validation of Phase Contrast Flow Quantification and Digital holography and image processing methods for. Introducing a reference substantially simplifies the resulting phase retrieval problem, which we call holographic phase retrieval: the computational problem is now a linear deconvolution, which is equivalent to solving a linear system [36–40]. The entailing computation can be further streamlined when certain specific reference shapes are employed. 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.

Phase retrieval and the twin-image problem in digital in-line holographic microscopy can be resolved by iterative reconstruction routines. However, recovering the phase properties of an object in a holo-gram needs an object plane to be chosen correctly for reconstruction. In this work, we present a novel

In this problem, which arises in holographic 2013-05-31 · Inline holography is a common phase-contrast imaging method which uses free-space propagation to encode the phase signal into measured intensities. However, quantitative retrieval of the sample's 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 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 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.