Transport of Intensity imaging with higher order derivatives

Waller, Laura; Tian, Lei; Barbastathis, George

doi:10.1364/oe.18.012552

Cited by 310 publications

(123 citation statements)

References 14 publications

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“…Further, Fig. 1(g) shows a reconstruction based on an improved approximation of the differential quotient by polynomial fitting, as described in Waller et al (2010). This method reduces the influence of noise and manages to slightly reduce the high-frequency artifacts, but as only four images are available here, the resulting object-plane phase distribution still shows deviations from the phantom (ground truth).…”

Section: Phase-retrieval Algorithmsmentioning

confidence: 99%

Three-dimensional single-cell imaging with X-ray waveguides in the holographic regime

Krenkel

Toepperwien

Alves

et al. 2017

Acta Crystallogr A Found Adv

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X-ray tomography at the level of single biological cells is possible in a low-dose regime, based on full-field holographic recordings, with phase contrast originating from free-space wave propagation. Building upon recent progress in cellular imaging based on the illumination by quasi-point sources provided by X-ray waveguides, here this approach is extended in several ways. First, the phase-retrieval algorithms are extended by an optimized deterministic inversion, based on a multi-distance recording. Second, different advanced forms of iterative phase retrieval are used, operational for single-distance and multi-distance recordings. Results are compared for several different preparations of macrophage cells, for different staining and labelling. As a result, it is shown that phase retrieval is no longer a bottleneck for holographic imaging of cells, and how advanced schemes can be implemented to cope also with high noise and inconsistencies in the data.

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Section: Phase-retrieval Algorithmsmentioning

confidence: 99%

Three-dimensional single-cell imaging with X-ray waveguides in the holographic regime

Krenkel

Toepperwien

Alves

et al. 2017

Acta Crystallogr A Found Adv

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“…When the light is partially coherent, the phase information cannot be detected at the focal plane, but is encoded by the intensity variation at the defocused planes. Measuring multiple times along the axial direction and taking advantage of the phase retrieval algorithm of the light transport function lend new insights into quantitative phase reconstruction with partially incoherent light (Teague, 1983;Waller et al, 2010b).…”

Section: Phasementioning

confidence: 99%

“…Various computational reconstruction methods have reduced the required measurement number under partially coherent light and realized single-shot quantitative imaging through introducing chromatic aberrations (Waller et al, 2010a) or using a volume holographic microscope (Waller et al, 2010b), etc. These works greatly expand the application scenario and provide new opportunities for label-free dynamic cell observation.…”

Section: Phasementioning

confidence: 99%

Emerging theories and technologies on computational imaging

Suo

et al. 2017

Frontiers Inf Technol Electronic Eng

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Computational imaging describes the whole imaging process from the perspective of light transport and information transmission, features traditional optical computing capabilities, and assists in breaking through the limitations of visual information recording. Progress in computational imaging promotes the development of diverse basic and applied disciplines. In this review, we provide an overview of the fundamental principles and methods in computational imaging, the history of this field, and the important roles that it plays in the development of science. We review the most recent and promising advances in computational imaging, from the perspective of different dimensions of visual signals, including spatial dimension, temporal dimension, angular dimension, spectral dimension, and phase. We also discuss some topics worth studying for future developments in computational imaging.

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“…. , n and where a i,HOFD are the image weight coefficients [41,44]. Soto and Acosta proposed another set of image weight coefficients a i,NR which focuses stronger on noise reduction (NR) [45].…”

Section: Low-frequency Filteringmentioning

confidence: 99%

Assessment of off-axis and in-line electron holography for measurement of potential variations in Cu(In,Ga)Se2 thin-film solar cells

Keller

Buecheler

Reinhard

et al. 2016

Adv Struct Chem Imag

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Electron holography is employed to study variations of the electrostatic crystal potential in Cu(In,Ga)Se 2 (CIGS) thin-film solar cells at different length scales: Long-range potential variations across the layer structure of the solar cell as well as inhomogeneities within the layers are analyzed by off-axis holography. In-line holography is applied to examine the local potential variation across a CIGS grain boundary. The phase reconstruction from a focal series is performed by a modified transport of intensity equation (TIE) which is optimized to reduce common artifacts. For comparison, three different microscopes of different optical configurations were used for in-line holography. Based on the results, the impact of the used microscope as well as further acquisition parameters on the in-line holography measurement is assessed. The measured potential variations are discussed considering the effect of different possible sources that may cause potential fluctuations. It is found that most of the variations are best explained by mean inner potential fluctuations rather than by inhomogeneities of the electronic properties. Finally, the present resolution limit of both methods is discussed regarding the feasibility of future electronic characterization of CIGS by holography.

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Transport of Intensity imaging with higher order derivatives

Cited by 310 publications

References 14 publications

Three-dimensional single-cell imaging with X-ray waveguides in the holographic regime

Three-dimensional single-cell imaging with X-ray waveguides in the holographic regime

Emerging theories and technologies on computational imaging

Assessment of off-axis and in-line electron holography for measurement of potential variations in Cu(In,Ga)Se2 thin-film solar cells

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