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Epub 2016 Nov 14. Model-based magnetization retrieval from holographic phase images. 2017-02-28 · Compared to traditional phase retrieval approaches, our SPR algorithm uses over an order of magnitude less pixel measurements while maintaining suitable reconstruction quality. We use an on-chip holographic video setup with pixel sub-sampling to experimentally demonstrate a factor of 5.5 increase in sensor frame rate while monitoring the in vivo movement of Peranema microorganisms. Fingerprint Dive into the research topics of 'Dual-Reference Design for Holographic Phase Retrieval'.

Holographic phase retrieval

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Together they form a unique fingerprint. 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 This article describes scientific software made publicly available for phase retrieval in X-ray propagation imaging. The package is called HoloTomoToolbox and comprises a set of algorithms for phase retrieval in the direct-contrast regime, as well as in the holographic regime, which is used for high-resolution cone-beam synchrotron recordings. James R Fienup.

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).

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This innovation, i.e. Holographic CDI, becomes crucial at the nanoscale, where imaging specimens such as viruses, proteins, and crystals require low-photon measurements. 2017-10-13 · As illustrated in Figures 1, 2, 3, a simple back-propagation of the object’s hologram, without phase retrieval, contains severe twin-image and self-interference-related artifacts, hiding the phase 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.

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Holographic phase retrieval

1Center for Computational Mathematics, Flatiron Institute, New York, NY 10010,  While precise phase modulation hardware is becoming available, phase retrieval algorithms are still in their infancy, and holographic display ap- proaches resort  Jun 15, 2020 We present single-shot fast phase information retrieval without interferometry in the holographic data storage. Noninterferometry systems are  In this paper, a phase retrieval method based on deep learning is proposed and applied to the phase-modulated holographic storage system. Learned Hardware-in-the-loop Phase Retrieval for Holographic Near-Eye Displays. Praneeth Chakravarthula · Ethan Tseng. Tarun Srivastava.

Only intensity distribution of the reconstructed beam on the Fourier domain is required to retrieve phase. 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.
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Holographic phase retrieval

Dynamic sampling iterative phase retrieval for holographic data storage Opt Express.

Phase recovery from intensity-only measurements forms the heart of coherent imaging techniques and holography. In this study, we demonstrate that a neural network can learn to perform phase Introducing the 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 [35, 36, 37, 38]. The entailing computation can be further streamlined when certain specific reference shapes are employed.
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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.


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Phase retrieval in Digital Holographic Microscopy . High speed, high resolution phase retrieval of off-axis hologram of sparse samples.