Advances in Imaging and Electron Physics Journal Impact Factor & Information

Publisher: Elsevier

Current impact factor: 0.34

Impact Factor Rankings

2015 Impact Factor Available summer 2016
2014 Impact Factor 0.338
2013 Impact Factor 0.582
2012 Impact Factor 0.712
2011 Impact Factor 0.491
2010 Impact Factor 0.862
2008 Impact Factor 1.026
2007 Impact Factor 1.026
2006 Impact Factor 0.426
2005 Impact Factor 0.462
2004 Impact Factor 0.574
2003 Impact Factor 0.349
2002 Impact Factor 0.886
2001 Impact Factor 1.188

Impact factor over time

Impact factor

Additional details

5-year impact 0.49
Cited half-life >10.0
Immediacy index 0.24
Eigenfactor 0.00
Article influence 0.22
Other titles Advances in imaging and electron physics, Imaging and electron physics
ISSN 1076-5670
OCLC 30535280
Document type Journal / Magazine / Newspaper

Publisher details


  • Pre-print
    • Author can archive a pre-print version
  • Post-print
    • Author can archive a post-print version
  • Conditions
    • Authors pre-print on any website, including arXiv and RePEC
    • Author's post-print on author's personal website immediately
    • Author's post-print on open access repository after an embargo period of between 12 months and 48 months
    • Permitted deposit due to Funding Body, Institutional and Governmental policy or mandate, may be required to comply with embargo periods of 12 months to 48 months
    • Author's post-print may be used to update arXiv and RepEC
    • Publisher's version/PDF cannot be used
    • Must link to publisher version with DOI
    • Author's post-print must be released with a Creative Commons Attribution Non-Commercial No Derivatives License
    • Publisher last reviewed on 03/06/2015
  • Classification

Publications in this journal

  • [Show abstract] [Hide abstract]
    ABSTRACT: Spin-polarized scanning electron microscopy (spin SEM) is a method to observe magnetic domain structures at a ferromagnetic sample surface. It is based on the phenomenon where the spin-polarization of the secondary electrons from a ferromagnetic sample is anti-parallel to the magnetization vector at the originating point of the secondary electrons. The spin-polarizations are analyzed while scanning the sample surface with a probe electron beam, which produces an image of the magnetic domain structure. This principle has afforded several excellent capabilities. The spatial resolution is better than 10 nm, and the method can produce magnetic domain images that are not affected by topography. Moreover, it can analyze not only magnetic domain shapes, but also magnetization directions in three-dimensional (3-D) space. Spin SEM has mainly been used in metal ferromagnetics or for magnetic devices such as recording media and permanent magnets, taking advantage of these characteristics. In this chapter, after the principle and the basic components of the instrument are explained, various spin-SEM results are introduced.
    Advances in Imaging and Electron Physics 12/2015; 187:83-125. DOI:10.1016/bs.aiep.2014.11.001
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    ABSTRACT: Many problems in the fields of computer vision deal with image data that is embedded in very high-dimensional spaces. However, a typical assumption behind many algorithms is that the data lie on a low-dimensional manifold. Modeling the visual manifolds is quite challenging. Typically, image manifolds are neither smooth nor differentiable. This chapter presents the theory and applications of the concept of homeomorphic manifold analysis (HMA). Given a set of topologically equivalent manifolds, HMA models the variation in their geometries in the space of functions that map between a topologically equivalent common representation and each of them. This setting is suitable to different problems in visual learning. In particular, this chapter focuses on the applications of the framework to modeling the manifold of human motion in the image space.
    Advances in Imaging and Electron Physics 01/2015; 187:1-81. DOI:10.1016/bs.aiep.2014.12.002
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    ABSTRACT: Reflective electron-beam lithography (REBL), a novel nanolithography technique developed at KLA-Tencor Corporation, employs an array of micrometer-scale switchable electron reflectors, called the digital pattern generator (DPG), to impress pattern information on an electron beam. When illuminated by a beam of low-energy electrons, this reflector array acts as a programmable electron-luminous image source. In REBL, the reflected electron image is demagnified and projected onto the resist-coated surface of a silicon wafer to print the latent image of an integrated circuit pattern. Several generations of DPG have been built, and another is under study. This chapter reviews various versions of DPGs developed in the course of the REBL program and briefly discusses the principles and ambitions of the program.
    Advances in Imaging and Electron Physics 01/2015; 188:1-23. DOI:10.1016/bs.aiep.2015.02.001

  • Advances in Imaging and Electron Physics 01/2014; 181:125-208. DOI:10.1016/B978-0-12-800091-5.00003-3
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    ABSTRACT: Topology-preserving geometric deformable models (TGDMs) are used to segment objects that have a known topology. Their accuracy is inherently limited by the resolution of the underlying computational grid. Although this can be overcome by using fine-resolution grids, both the computational cost and the size of the resulting surface increase dramatically. In this article, we present a new octree grid topology-preserving deformable model (OTGDM). OTGDMs refine grid resolution locally, thus maintaining computational efficiency and keep the surface mesh size manageable. Topology preservation is achieved by adopting concepts from a digital topology framework on octree grids that we have proposed previously. Details of OTGDM implementation are discussed, including grid generation, model initialization, numerical schemes, and final surface model extraction. Experiments on both mathematical phantoms and real medical images are used to demonstrate the advantages of OTGDMs.
    01/2014: pages 1-34;
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    ABSTRACT: Ever since the invention of electron microscopy, there has been the desire to image biological samples and other samples, such as colloids, in their native liquid environment (as one can do with light microscopy), and various approaches have been developed throughout the years. The usage of microchip technology to produce micrometer-sized liquid enclosures with electron transparent silicon nitride (SiN) windows has spurred the research area of transmission electron microscopy (TEM) in liquid over the past decade. Solid material can be studied in situ in liquid layers of up to several hundreds of nanometers using liquid-cell TEM. Much thicker samples of up to 10 micrometers (μm) are available for the imaging of materials with a high atomic number (Z) in low-Z liquids using scanning transmission electron microscopy (STEM). In this chapter, a detailed discussion is presented of the practical aspects of the three most frequently used technical approaches for electron microscopy of liquid specimens: (1) environmental SEM (ESEM), (2) TEM and STEM of closed liquid cells, and (3) TEM and STEM of liquid flow devices. Details about the required equipment are also included. Liquid electron microscopy experiments need to be carried out carefully, and various factors need to be optimized. Nevertheless, user-friendly systems are now available, and exciting, novel scientific breakthroughs can be expected to result from the new capabilities to view images in liquid at a (sub-)nanoscale resolution.
    01/2014: pages 1-37;
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    ABSTRACT: The method of complex geometrical optics (CGO) is presented, which describes the rotation of Gaussian beam (GB) propagating along a curvilinear trajectory in a smoothly inhomogeneous and nonlinear saturable optical medium. The CGO method reduces the problem of Gaussian beam diffraction and self-focusing in inhomogeneous and nonlinear media to the system of the first-order ordinary differential equations for the complex curvature of the wave front and for GB amplitude, which can be readily solved both analytically and numerically. As a result, CGO radically simplifies the description of Gaussian beam diffraction and self-focusing effects as opposed to the other methods of nonlinear optics, such as the variational method approach, method of moments, and beam propagation method. We first present a short review of the applicability of the CGO method to solve the problem of GB evolution in inhomogeneous linear and nonlinear media of the Kerr type. Moreover, we discuss the accuracy of the CGO method by comparing obtained solutions with known results of nonlinear optics obtained by the nonlinear parabolic equation within an aberration-less approximation. The power of the CGO method is presented by showing the example of N-rotating GBs interacting in a nonlinear inhomogeneous medium. We demonstrate the great ability of the CGO method by presenting explicitly the evolution of beam intensities and wave front cross sections for two, three, and four interacting beams. To our knowledge, the analyzed phenomenon of N-interacting rotating beams is a new problem of nonlinear wave optics, which demands a simple and effective method of solving it. Thus, we believe that the CGO method can be an interesting and effective tool to use to address sophisticated problems in electron physics.
    Advances in Imaging and Electron Physics 01/2014; 185:1-111. DOI:10.1016/B978-0-12-800144-8.00001-X
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    ABSTRACT: Electron microscopy (EM) of biological macromolecules has experienced a significant increase in its capabilities with the introduction of a new generation of camera technology. Near-atomic resolution now has been achieved without the need for ordered assemblies such as two-dimensional (2-D) crystals, helical structures, or icosahedral particles. Not only has the resolution achieved in single-particle cryo-electron microscopy (cryo-EM) improved markedly, but at the same time, the number of particles needed has been reduced by a factor of 10 or more. However, not all single-particle analyses may reach atomic resolution easily, and the reasons for this are diverse. Here, we address some of the factors that could result in lower-than-expected values of resolution, and we suggest strategies to identify and fix the possible problems.
    Advances in Imaging and Electron Physics 01/2014; 185:113-137. DOI:10.1016/B978-0-12-800144-8.00002-1
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    ABSTRACT: Morphological amoebas are image-adaptive structuring elements introduced by Lerallut, Decencière, & Meyer. Their construction relies on a distance measure that combines spatial distance with gray-value contrast (tonal distance). Amoebas can be used with various morphological filters. In connection with median filtering, they lead to an image enhancement filter with segmentation-like properties. In this chapter, we consider different amoeba-based iterative image filters and study their relations to partial differential equations (PDEs). In a continuous formulation, the iterated amoeba median filter asymptotically approximates the well-known self-snakes partial differential equation (PDE). Different edge-stopping functions in the PDE can be related to different metrics used in amoeba construction. PDE approximation results for further amoeba-based filters, as well as for an amoeba-based active contour segmentation method, are presented. Furthermore, we address the role of presmoothing in the self-snakes equation, and relate it to the nonzero structuring element radius in computations with amoeba models. Experiments demonstrate the validity of central theoretical results.
    Advances in Imaging and Electron Physics 01/2014; 185:139-212. DOI:10.1016/B978-0-12-800144-8.00003-3

  • Advances in Imaging and Electron Physics 01/2014; 186:VII-VII.
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    ABSTRACT: Linear canonical transform (LCT) is a generalization of the Fourier transform (FT) and the fractional Fourier transform (FRFT). Analyzing a signal by the LCT can be viewed as analyzing a signal in a domain between time and frequency. From the view of the Wigner distribution function, the LCT has the effect of twisting the distributions of a function in the time-frequency plane. In this chapter, we introduce the definitions, theories, physical meanings, and applications of the LCT and its generalized versions. Since the LCT is more general than the FT, in digital signal processing applications, using the LCT is more flexible than using the FT. Therefore, most applications of the FT are also the applications of the LCT, and one can apply the LCT to achieve even better performances. The LCT has been applied to filter design, signal sampling, modulation, multiplexing, image processing, optics, phase retrieval, radar system analysis, and communication. It will play a very important role in signal processing in the future.
    01/2014: pages 39-99;
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    ABSTRACT: This chapter derives the partial differential cross sections for neutron scatter from a nucleus, which accounts for the neutron spin and the nuclear spin. First covered are the preliminary background topics of angular momentum vectors, spin vectors, and vector operators, the Heisenberg uncertainty principle and commutation of operators, the neutron spin operator, and the neutron spin–lowering and –raising operators. First, the partial differential cross section for nuclear scatter of the neutron spin-up and spin-down states is dervied. Next derived for polarized neutron scatter is the partial differential cross section, which includes both the neutron spin state and nuclear spin state, via the combined neutron spin operator and nuclear spin operators. Covered next are the neutron nuclear scatter length, which accounts for the neutron spin states. Thermal averaging is then taken into account, and the total partial differential cross section for neutron spin state scatter is derived, as well as the neutron spin state scatter lengths for an ensemble of nuclear spins and isotopes. Finally, the partial, differential, and total cross section for neutron coherent and incoherent scatter are derived from an ensemble of atoms of varying nuclear spins and isotopes, which accounts for neutron spin states.
    Advances in Imaging and Electron Physics 12/2013; 175:113-144. DOI:10.1016/B978-0-12-407670-9.00002-0
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    ABSTRACT: The present paper deals with image segmentation, which constitutes a crucial step in image processing. In fact, the initial grey levels number is generally too large to permit the analysis in good conditions of the considered image and it is necessary to define regions (segments) whose pixels possess some properties in common, in terms of homogeneity, entropy, texture… The segmentation quality is also linked to the pertinence of boundaries separating regions (high level of contrast for example). To address this segmentation goal, a lot of methods exist, generally depending on the choice of some arbitrary tools like metrics, similarity or homogeneity parameters and sometimes on an a priori knowledge concerning the desired number of classes. We have decided to locate our study in the LIP (Logarithmic Image Processing) framework because of this Model compatibility with the Human Visual System. First we propose LIP versions of classical algorithms like multi-thresholding, k-means and region growing (Part 2 and Part 3). For this last technique, we present a “systolic” approach. A special highlight is given on Hierarchical classifications (Part 4), because they suppress some subjective initial hypotheses concerning for example: - the moment where a region becomes inhomogeneous and must be divided - what is the number of significant classes present in the studied image In fact, such methods have the advantage of producing on one hand all the possible segmentations and on the other hand a “cost” function based on an ultra-metric concept which permits to decide what are the most pertinent levels of classification. This 4th part of the paper ends with a novel “Gravitational Clustering” algorithm starting from the universal attraction law of Newton.
    Advances in Imaging and Electron Physics 05/2013; 177:1-44. DOI:10.1016/B978-0-12-407702-7.00001-2

  • Advances in Imaging and Electron Physics 01/2013; 179:XI-XIII.