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      Prospects for atomic resolution in-line holography for a 3D determination of atomic structures from single projections

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          Abstract

          It is now established that the 3D structure of homogeneous nanocrystals can be recovered from in-line hologram of single projections. The method builds on a quantitative contrast interpretation of electron exit wave functions. Since simulated exit wave functions of single and bilayers of graphene reveal the atomic structure of carbon-based materials with sufficient resolution, we explore theoretically how the approach can be expanded beyond periodic carbon-based materials to include non-periodic molecular structures. We show here theoretically that the 3D atomic structure of randomly oriented oleic acid molecules can be recovered from a single projection.

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          Most cited references13

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          Electron tomography at 2.4-ångström resolution.

          Transmission electron microscopy is a powerful imaging tool that has found broad application in materials science, nanoscience and biology. With the introduction of aberration-corrected electron lenses, both the spatial resolution and the image quality in transmission electron microscopy have been significantly improved and resolution below 0.5 ångströms has been demonstrated. To reveal the three-dimensional (3D) structure of thin samples, electron tomography is the method of choice, with cubic-nanometre resolution currently achievable. Discrete tomography has recently been used to generate a 3D atomic reconstruction of a silver nanoparticle two to three nanometres in diameter, but this statistical method assumes prior knowledge of the particle's lattice structure and requires that the atoms fit rigidly on that lattice. Here we report the experimental demonstration of a general electron tomography method that achieves atomic-scale resolution without initial assumptions about the sample structure. By combining a novel projection alignment and tomographic reconstruction method with scanning transmission electron microscopy, we have determined the 3D structure of an approximately ten-nanometre gold nanoparticle at 2.4-ångström resolution. Although we cannot definitively locate all of the atoms inside the nanoparticle, individual atoms are observed in some regions of the particle and several grains are identified in three dimensions. The 3D surface morphology and internal lattice structure revealed are consistent with a distorted icosahedral multiply twinned particle. We anticipate that this general method can be applied not only to determine the 3D structure of nanomaterials at atomic-scale resolution, but also to improve the spatial resolution and image quality in other tomography fields.
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            Improved functionalization of oleic acid-coated iron oxide nanoparticles for biomedical applications

            Superparamagnetic iron oxide nanoparticles can provide multiple benefits for biomedical applications in aqueous environments such as magnetic separation or magnetic resonance imaging. To increase the colloidal stability and allow subsequent reactions, the introduction of hydrophilic functional groups onto the particles’ surface is essential. During this process, the original coating is exchanged by preferably covalently bonded ligands such as trialkoxysilanes. The duration of the silane exchange reaction, which commonly takes more than 24 h, is an important drawback for this approach. In this paper, we present a novel method, which introduces ultrasonication as an energy source to dramatically accelerate this process, resulting in high-quality water-dispersible nanoparticles around 10 nm in size. To prove the generic character, different functional groups were introduced on the surface including polyethylene glycol chains, carboxylic acid, amine, and thiol groups. Their colloidal stability in various aqueous buffer solutions as well as human plasma and serum was investigated to allow implementation in biomedical and sensing applications. Electronic supplementary material The online version of this article (doi:10.1007/s11051-012-1100-5) contains supplementary material, which is available to authorized users.
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              Maximum-likelihood method for focus-variation image reconstruction in high resolution transmission electron microscopy

                Author and article information

                Contributors
                fchen1@me.com
                cfkisielowski@lbl.gov
                dirk.vandyck@uantwerpen.be
                Journal
                Adv Struct Chem Imaging
                Adv Struct Chem Imaging
                Advanced Structural and Chemical Imaging
                Springer International Publishing (Cham )
                2198-0926
                6 February 2017
                6 February 2017
                2017
                : 3
                : 1
                : 8
                Affiliations
                [1 ]ISNI 0000 0004 0532 0580, GRID grid.38348.34, Department of Engineering and System Science, , National Tsing-Hua University, ; Hsin Chu, Taiwan
                [2 ]ISNI 0000 0001 2231 4551, GRID grid.184769.5, The Molecular Foundry and Joint Center for Artificial Photosynthesis, , Lawrence Berkeley National Laboratory, ; One Cyclotron Rd., Berkeley, CA 94720 USA
                [3 ]ISNI 0000 0001 0790 3681, GRID grid.5284.b, Department of Physics, EMAT, , University of Antwerp, ; 2020 Antwerp, Belgium
                Article
                41
                10.1186/s40679-017-0041-6
                5313564
                b399a9bf-70a9-4542-b03b-eb121ccb992b
                © The Author(s) 2017

                Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License ( http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.

                History
                : 17 September 2016
                : 17 January 2017
                Funding
                Funded by: NSC
                Award ID: NSC 96-2628-E-007-017-MY3
                Award Recipient :
                Funded by: FundRef http://dx.doi.org/10.13039/100000015, U.S. Department of Energy;
                Award ID: Contract No. DE-AC02-05CH11231.
                Award Recipient :
                Funded by: the Fund for Scientific Research - Flanders (FWO)
                Award ID: Project nos. VF04812N and G.0188.08
                Award Recipient :
                Categories
                Review
                Custom metadata
                © The Author(s) 2017

                in-line holography,exit wave function,atomic resolution tomography,3d molecular imaging

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