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“The local structure of YBCO based materials by TEM”. Van Tendeloo G, Lebedev OI, Verbist K, Abakumov AM, Shpanchenko RV, Antipov EV, Blank DHA Kluwer Academic, Dordrecht, page 11 (1999).
Keywords: H1 Book chapter; Electron microscopy for materials research (EMAT)
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“Statistical parameter estimation theory : a tool for quantitative electron microscopy”. Van Aert S Wiley-VCH, Weinheim, page 281 (2012).
Keywords: H1 Book chapter; Electron microscopy for materials research (EMAT)
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“TEM characterization of structural defects”. Van Tendeloo G Plenum Press, New York, page 473 (1996).
Keywords: H1 Book chapter; Electron microscopy for materials research (EMAT)
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“Fundamentals of Focal Series Inline Electron Holography”. Lubk A, Vogel K, Wolf D, Krehl J, Röder F, Clark L, Guzzinati G, Verbeeck J Advances in imaging and electron physics
T2 – Advances in imaging and electron physics / Hawkes, P.W. [edit.]. Elsevier BV, page 105 (2016).
Keywords: H1 Book chapter; Electron microscopy for materials research (EMAT)
DOI: 10.1016/bs.aiep.2016.08.003
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“A temperature study of mixed AgBr-AgBrI tabular crystals”. Goessens C, Schryvers D, van Landuyt J, Geuens I, Gijbels R, Jacob W, de Keyzer R Hawaii, page 70 (1995).
Keywords: H1 Book chapter; Electron microscopy for materials research (EMAT); Plasma Lab for Applications in Sustainability and Medicine – Antwerp (PLASMANT)
Times cited: 3
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“Statistical experimental design for quantitative atomic resolution transmission electron microscopy”. Van Aert S, den Dekker AJ, van den Bos A, van Dyck D Academic Press, San Diego, Calif., page 1 (2004).
Keywords: H1 Book chapter; Electron microscopy for materials research (EMAT); Vision lab
Times cited: 13
DOI: 10.1016/S1076-5670(04)30001-7
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“The benefits of statistical parameter estimation theory for quantitative interpretation of electron microscopy data”. Van Aert S, Bals S, Chang LY, den Dekker AJ, Kirkland AI, Van Dyck D, Van Tendeloo G Springer, Berlin, page 97 (2008).
Keywords: H1 Book chapter; Electron microscopy for materials research (EMAT); Vision lab
DOI: 10.1007/978-3-540-85156-1_49
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“Art, science and sustainability = Kunst, wetenschap en duurzaamheid”. Van Tendeloo G Vrienden van het M HKA, Antwerpen, page 24 (2016).
Keywords: H2 Book chapter; Art; Electron microscopy for materials research (EMAT)
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“Klassieke toetsing in de praktijk”. Bals S, Stes A, Celis V LannooCampus, Leuven, page 211 (2009).
Keywords: H2 Book chapter; Educational sciences; EduBROn; Electron microscopy for materials research (EMAT)
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“Investigation of the elementary mechanisms controlling dislocation/twin boundary interactions in fcc metals and alloys : from conventional to advanced TEM characterization”. Idrissi H, Schryvers D Formatex Research Center, S.l., page 1213 (2012).
Keywords: H2 Book chapter; Electron microscopy for materials research (EMAT)
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“Efficient fitting algorithm”. de Backer A, Fatermans J, den Dekker AJ, Van Aert S Advances in imaging and electron physics
T2 – Advances in imaging and electron physics. page 73 (2021).
Abstract: An efficient model-based estimation algorithm is introduced to quantify the atomic column positions and intensities from atomic-resolution (scanning) transmission electron microscopy ((S)TEM) images. This algorithm uses the least squares estimator on image segments containing individual columns fully accounting for overlap between neighboring columns, enabling the analysis of a large field of view. To provide end-users with this well-established quantification method, a user friendly program, StatSTEM, is developed which is freely available under a GNU public license. In this chapter, this efficient algorithm is applied to three different nanostructures for which the analysis of a large field of view is required.
Keywords: H2 Book chapter; Electron microscopy for materials research (EMAT)
DOI: 10.1016/BS.AIEP.2021.01.003
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“Introduction”. de Backer A, Fatermans J, den Dekker AJ, Van Aert S Advances in imaging and electron physics
T2 – Advances in imaging and electron physics. page 1 (2021).
Keywords: H2 Book chapter; Electron microscopy for materials research (EMAT)
DOI: 10.1016/BS.AIEP.2021.01.001
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“High resolution electron microscopy from imaging towards measuring”. Van Aert S, den Dekker AJ, van den Bos A, Van Dyck D ... IEEE International Instrumentation and Measurement Technology Conference
T2 – Rediscovering measurement in the age of informatics : proceedings of the 18th IEEE Instrumentation and Measurement Technology Conference (IMTC), 2001: vol 3. Ieee, page 2081 (2001).
Keywords: H2 Book chapter; Electron microscopy for materials research (EMAT); Vision lab
DOI: 10.1109/IMTC.2001.929564
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“Atom column detection”. Fatermans J, de Backer A, den Dekker AJ, Van Aert S Advances in imaging and electron physics
T2 – Advances in imaging and electron physics. page 177 (2021).
Abstract: By combining statistical parameter estimation and model-order selection using a Bayesian framework, the maximum a posteriori (MAP) probability rule is proposed in this chapter as an objective and quantitative method to detect atom columns from high-resolution scanning transmission electron microscopy (HRSTEM) images. The validity and usefulness of this approach is demonstrated to both simulated and experimental annular dark-field (ADF) STEM images, but also to simultaneously acquired annular bright-field (ABF) and ADF STEM image data.
Keywords: H2 Book chapter; Electron microscopy for materials research (EMAT); Vision lab
DOI: 10.1016/BS.AIEP.2021.01.006
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“Atom counting”. de Backer A, Fatermans J, den Dekker AJ, Van Aert S Advances in imaging and electron physics
T2 – Advances in imaging and electron physics. page 91 (2021).
Abstract: In this chapter, a statistical model-based method to count the number of atoms of monotype crystalline nanostructures from high-resolution annular dark-field (ADF) scanning transmission electron microscopy (STEM) images is discussed in detail together with a thorough study on the possibilities and inherent limitations. We show that this method can be applied to nanocrystals of arbitrary shape, size, and atom type. The validity of the atom-counting results is confirmed by means of detailed image simulations and it is shown that the high sensitivity of our method enables us to count atoms with single atom sensitivity.
Keywords: H2 Book chapter; Electron microscopy for materials research (EMAT); Vision lab
DOI: 10.1016/BS.AIEP.2021.01.004
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“General conclusions and future perspectives”. de Backer A, Fatermans J, den Dekker AJ, Van Aert S Advances in imaging and electron physics
T2 – Advances in imaging and electron physics. page 243 (2021).
Abstract: This chapter provides an overview of statistical and quantitative methodologies that have pushed (scanning) transmission electron microscopy ((S)TEM) toward accurate and precise measurements of unknown structure parameters for understanding the relation between the structure of a material and its properties. Hereby, statistical parameter estimation theory has extensively been used which enabled not only measuring atomic column positions, but also quantifying the number of atoms, and detecting atomic columns as accurately and precisely as possible from experimental images. As a general conclusion, it can be stated that advanced statistical techniques are ideal tools to perform quantitative electron microscopy at the atomic scale. In the future, statistical methods will continue to be developed and novel quantification procedures will open up new possibilities for studying material structures at the atomic scale.
Keywords: H2 Book chapter; Electron microscopy for materials research (EMAT); Vision lab
DOI: 10.1016/BS.AIEP.2021.01.008
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“Image-quality evaluation and model selection with maximum a posteriori probability”. Fatermans J, de Backer A, den Dekker AJ, Van Aert S Advances in imaging and electron physics
T2 – Advances in imaging and electron physics. page 215 (2021).
Abstract: The maximum a posteriori (MAP) probability rule for atom column detection can also be used as a tool to evaluate the relation between scanning transmission electron microscopy (STEM) image quality and atom detectability. In this chapter, a new image-quality measure is proposed that correlates well with atom detectability, namely the integrated contrast-to-noise ratio (ICNR). Furthermore, the working principle of the MAP probability rule is described in detail showing a close relation to the principles of model-selection methods.
Keywords: H2 Book chapter; Electron microscopy for materials research (EMAT); Vision lab
DOI: 10.1016/BS.AIEP.2021.01.007
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“Optimal experiment design for nanoparticle atom counting from ADF STEM images”. de Backer A, Fatermans J, den Dekker AJ, Van Aert S Advances in imaging and electron physics
T2 – Advances in imaging and electron physics. page 145 (2021).
Abstract: In this chapter, the principles of detection theory are used to quantify the probability of error for atom counting from high-resolution scanning transmission electron microscopy (HRSTEM) images. Binary and multiple hypothesis testing have been investigated in order to determine the limits to the precision with which the number of atoms in a projected atomic column can be estimated. The probability of error has been calculated when using STEM images, scattering cross-sections or peak intensities as a criterion to count atoms. Based on this analysis, we conclude that scattering cross-sections perform almost equally well as images and perform better than peak intensities. Furthermore, the optimal STEM detector design can be derived for atom counting using the expression of the probability of error. We show that for very thin objects the low-angle annular dark-field (LAADF) regime is optimal and that for thicker objects the optimal inner detector angle increases.
Keywords: H2 Book chapter; Electron microscopy for materials research (EMAT); Vision lab
DOI: 10.1016/BS.AIEP.2021.01.005
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“Statistical parameter estimation theory : principles and simulation studies”. de Backer A, Fatermans J, den Dekker AJ, Van Aert S Advances in imaging and electron physics
T2 – Advances in imaging and electron physics. page 29 (2021).
Abstract: In this chapter, the principles of statistical parameter estimation theory for a quantitative analysis of atomic-resolution electron microscopy images are introduced. Within this framework, electron microscopy images are described by a parametric statistical model. Here, parametric models are introduced for different types of electron microscopy images: reconstructed exit waves, annular dark-field (ADF) scanning transmission electron microscopy (STEM) images, and simultaneously acquired ADF and annular bright-field (ABF) STEM images. Furthermore, the Cramér-Rao lower bound (CRLB) is introduced, i.e. a theoretical lower bound on the variance of any unbiased estimator. This CRLB is used to quantify the precision of the structure parameters of interest, such as the atomic column positions and the integrated atomic column intensities.
Keywords: H2 Book chapter; Electron microscopy for materials research (EMAT); Vision lab
DOI: 10.1016/BS.AIEP.2021.01.002
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“The application of transmission electron microscopy (TEM) in the research of inorganic colorants in stained glass windows and parchment illustrations”. Fredrickx P, Wouters J, Schryvers D Archetype, London, page 137 (2003).
Keywords: H3 Book chapter; Electron microscopy for materials research (EMAT)
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“Charcaterization by high-resolution transmission electron microscopy”. van Landuyt J, Van Tendeloo G Stt, Den Haag, page 187 (1998).
Keywords: H3 Book chapter; Electron microscopy for materials research (EMAT)
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“Charge ordering and phase transitions in perovskite manganites: correlation with CMR properties”. Hervieu M, Martin C, Van Tendeloo G, Mercey B, Maignan A, Jirak Z, Raveau B s.l., page 179 (2000).
Keywords: H3 Book chapter; Electron microscopy for materials research (EMAT)
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“Crystal chemistry of mercury based layered cuprates and oxycarbonates”. Raveau B, Hervieu M, Michel C, Martin C, Maignan A, Van Tendeloo G Narosa, New Delhi, page 132 (1995).
Keywords: H3 Book chapter; Electron microscopy for materials research (EMAT)
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“The crystal structure of YSr2Cu3O6+x determined by HREM”. Lebedev O, Van Tendeloo G, Marezio M, Licci F, Gilioli E, Gauzzi A, Prodi A s.l., page 877 (2002).
Keywords: H3 Book chapter; Electron microscopy for materials research (EMAT)
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“Electron diffraction and microscopy of single-walled carbon nanotube bundles”. Colomer J-F, Van Tendeloo G Kluwer, Boston, Mass., page 45 (2003).
Keywords: H3 Book chapter; Electron microscopy for materials research (EMAT)
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“Electron microscopic study of long period ordering in complex oxides”. Amelinckx S, Nistor LC, Van Tendeloo G s.l., page 1 (1994).
Keywords: H3 Book chapter; Electron microscopy for materials research (EMAT)
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“Electron microscopy of fullerenes and related materials”. Van Tendeloo G, Amelinckx S Wiley-VCH, Weinheim, page 353 (2000).
Keywords: H3 Book chapter; Electron microscopy for materials research (EMAT)
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“Electron microscopy of interfaces in new materials”. Van Tendeloo G, Goessens C, Schryvers D, van Haverbergh J, de Veirman A, van Landuyt J s.l., page 200 (1991).
Keywords: H3 Book chapter; Electron microscopy for materials research (EMAT)
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“Electron microscopy of C60 and C70 fullerites”. Van Tendeloo G, Amelinckx S Springer, Berlin, page 182 (1993).
Keywords: H3 Book chapter; Electron microscopy for materials research (EMAT)
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“High resolution electron microscopy for materials”. van Landuyt J Eurem 92, Granada, page 23 (1992).
Keywords: H3 Book chapter; Electron microscopy for materials research (EMAT)
Times cited: 7
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