Object plane detection and phase retrieval from single-shot holograms using multi-wavelength in-line holography. Refining particle positions using circular
Information Retrieval — Machine Learning — Computer Logic — Multiagent Systems — Multimedia — Neural and Evolutionary Computing — Performance
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. 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). 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.
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. A general mathematical framework and recovery algorithm is presented for the holographic phase retrieval problem. In this problem, which arises in holographic In the computational imaging community, many attempts have been made in solving holographic phase retrieval using references, among which has been very successful. Motivated by the reference design for holographic phase retrieval, we are trying to explore a way to design references for general phase retrieval.
high resolution and fast phase retrieval from two holograms recorded in different distances. The so far frequently applied phase retrieval algorithms converge
Phase retrieval and the twin-image problem in digital in-line holographic microscopy can be resolvedby iterative reconstruction routines. However, recovering the phase properties of an object in a hologramneeds an object plane to be chosen correctly for reconstruction. Phase retrieval in Digital Holographic Microscopy . High speed, high resolution phase retrieval of off-axis hologram of sparse samples.
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.
Standard N-step phase shifting is the most common algorithm but requires that the phase steps be evenly spaced within a 2 π period. Further, other algorithms for known and unknown numbers of phase steps have been reported in literature . 1981-08-03 · phase retrieval (SPR) algorithm to overcome the spatial-temporal trade-o in holographic video. Compared to traditional phase retrieval approaches, our SPR algorithm uses over an order of magnitude less pixel measurements while maintaining suitable reconstruction quality. 1. Ultramicroscopy.
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GPU acceleration Aug 2, 2016 Phase retrieval methods in inline-holography Quantitative phase imaging, i.e. the detection of the phase delay imposed by a biological cell or 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. 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).
Refining particle positions using circular
Object plane detection and phase retrieval from single-shot holograms using multi-wavelength in-line holography. Refining particle positions using circular
Holographic assessment using Holomonitor M4 of the co-cultured cells in of quantitative multi-material phase-retrieval algorithms in propagation-based
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Femtosecond X-ray Fourier holography imaging of free-flying nanoparticles with constrained support and windowing for improved phase retrieval accuracy.
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. Holograms computed using our "learned hardware-in-the-loop phase retrieval" eliminates severe aberrations and show an improved quality, enhanced resolution and remarkable contrast, with black regions truly being black as shown below.
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The same cannot be said of shadows, boulders, and holograms. set as the main substance in a slowly phase-displacing and sophisticated primal energy outlet. a retrieval/recycling of waste, excess, historical and scientific facts, tall stories,
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'. Together they form a unique fingerprint. Cover story: learning a bilevel hologram dictionary for temporal resolution enhancement in lens-free on-chip video.
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. These methods use an optical setup,
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.
Holographic phase retrieval and reference design. Full Record; References (43) 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 coherent diffraction imaging, a 'reference' portion of the signal to be recovered via phase retrieval is a priori known from experimental design. Collinear non-interferometric phase retrieval for holographic data storage (OE) Fast non-interferometric iterative phase retrieval for holographic data storage (OE) Dynamic sampling iterative phase retrieval for holographic data storage (OE) Abstract.