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Author Schryvers, D.; Shi, H.; Martinez, G.T.; Van Aert, S.; Frenzel, J.; Van Humbeeck, J. pdf  doi
openurl 
  Title Nano- and microcrystal investigations of precipitates, interfaces and strain fields in Ni-Ti-Nb by various TEM techniques Type P1 Proceeding
  Year 2013 Publication Materials science forum T2 – 9th European Symposium on Martensitic Transformations (ESOMAT 2012), SEP 09-16, 2012, St Petersburg, RUSSIA Abbreviated Journal  
  Volume 738/739 Issue Pages 65-71  
  Keywords P1 Proceeding; Electron microscopy for materials research (EMAT)  
  Abstract In the present contribution several advanced electron microscopy techniques are employed in order to describe chemical and structural features of the nano- and microstructure of a Ni45.5Ti45.5Nb9 alloy. A line-up of Nb-rich nano-precipitates is found in the Ni-Ti-rich austenite of as-cast material. Concentration changes of the matrix after annealing are correlated with changes in the transformation temperatures. The formation of rows and plates of larger Nb-rich precipitates and particles is described. The interaction of a twinned martensite plate with a Nb-rich nano-precipitate is discussed and the substitution of Nb atoms on the Ti-sublattice in the matrix is confirmed.  
  Address  
  Corporate Author Thesis  
  Publisher Place of Publication Lausanne Editor  
  Language Wos 000316089000011 Publication Date 2013-03-11  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN 1662-9752; ISBN Additional Links UA library record; WoS full record; WoS citing articles  
  Impact Factor Times cited 2 Open Access  
  Notes Fwo Approved (up) Most recent IF: NA  
  Call Number UA @ lucian @ c:irua:104692 Serial 2247  
Permanent link to this record
 

 
Author Van Aert, S.; den Dekker, A.J.; van Dyck, D.; van den Bos, A. openurl 
  Title The notion of resolution Type H3 Book chapter
  Year 2008 Publication Abbreviated Journal  
  Volume Issue Pages 1228-1265  
  Keywords H3 Book chapter; Electron microscopy for materials research (EMAT); Vision lab  
  Abstract  
  Address  
  Corporate Author Thesis  
  Publisher Springer Place of Publication Berlin Editor  
  Language Wos Publication Date 0000-00-00  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN ISBN Additional Links UA library record  
  Impact Factor Times cited Open Access  
  Notes Approved (up) Most recent IF: NA  
  Call Number UA @ lucian @ c:irua:68656 Serial 2370  
Permanent link to this record
 

 
Author Van Aert, S.; den Dekker, A.J.; van Dyck, D.; van den Bos, A. openurl 
  Title The notion of resolution Type H3 Book chapter
  Year 2007 Publication Abbreviated Journal  
  Volume Issue Pages 1228-1265  
  Keywords H3 Book chapter; Electron microscopy for materials research (EMAT); Vision lab  
  Abstract  
  Address  
  Corporate Author Thesis  
  Publisher Springer Place of Publication Berlin Editor  
  Language Wos Publication Date 0000-00-00  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN ISBN Additional Links UA library record  
  Impact Factor Times cited Open Access  
  Notes Approved (up) Most recent IF: NA  
  Call Number UA @ lucian @ c:irua:68657 Serial 2371  
Permanent link to this record
 

 
Author van Dyck, D.; Van Aert, S.; Croitoru, M.D. openurl 
  Title Obstacles on the road towards atomic resolution tomography Type A3 Journal article
  Year 2005 Publication Microscoy and microanalysis Abbreviated Journal  
  Volume 11 Issue S2 Pages 238-239  
  Keywords A3 Journal article; Electron microscopy for materials research (EMAT); Condensed Matter Theory (CMT); Vision lab  
  Abstract  
  Address  
  Corporate Author Thesis  
  Publisher Place of Publication Editor  
  Language Wos Publication Date 0000-00-00  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN ISBN Additional Links UA library record  
  Impact Factor Times cited Open Access  
  Notes Approved (up) Most recent IF: NA  
  Call Number UA @ lucian @ c:irua:57129 Serial 2426  
Permanent link to this record
 

 
Author Rosenauer, A.; Gerthsen, D.; Van Aert, S.; van Dyck, D.; den Dekker, A.J. openurl 
  Title Present state of the composition evaluation of ternary semiconductor nanostructures by lattice fringe analysis Type A1 Journal article
  Year 2003 Publication Institute of physics conference series Abbreviated Journal  
  Volume Issue 180 Pages 19-22  
  Keywords A1 Journal article; Electron microscopy for materials research (EMAT); Vision lab  
  Abstract Semiconductor heterostructures are used for the fabrication of optoelectronic devices. Performance of such devices is governed by their chemical morphology. The composition distribution of quantum wells and dots is influenced by kinetic growth processes which are not understood completely at present. To obtain more information about these effects, methods for composition determination with a spatial resolution at a near atomic scale are necessary. In this paper we focus on the present state of the composition evaluation by the lattice fringe analysis (CELFA) technique and explain the basic ideas, optimum imaging conditions, precision and accuracy.  
  Address  
  Corporate Author Thesis  
  Publisher Place of Publication Editor  
  Language Wos Publication Date 0000-00-00  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN 0-7503-0979-2 ISBN Additional Links UA library record; WoS full record;  
  Impact Factor Times cited Open Access  
  Notes Approved (up) Most recent IF: NA  
  Call Number UA @ lucian @ c:irua:95118 Serial 2710  
Permanent link to this record
 

 
Author Jones, L.; Yang, H.; Pennycook, T.J.; Marshall, M.S.J.; Van Aert, S.; Browning, N.D.; Castell, M.R.; Nellist, P.D. pdf  url
doi  openurl
  Title Smart Align : a new tool for robust non-rigid registration of scanning microscope data Type A1 Journal article
  Year 2015 Publication Advanced Structural and Chemical Imaging Abbreviated Journal  
  Volume 1 Issue 1 Pages 8  
  Keywords A1 Journal article; Electron microscopy for materials research (EMAT)  
  Abstract Many microscopic investigations of materials may benefit from the recording of multiple successive images. This can include techniques common to several types of microscopy such as frame averaging to improve signal-to-noise ratios (SNR) or time series to study dynamic processes or more specific applications. In the scanning transmission electron microscope, this might include focal series for optical sectioning or aberration measurement, beam damage studies or camera-length series to study the effects of strain; whilst in the scanning tunnelling microscope, this might include bias-voltage series to probe local electronic structure. Whatever the application, such investigations must begin with the careful alignment of these data stacks, an operation that is not always trivial. In addition, the presence of low-frequency scanning distortions can introduce intra-image shifts to the data. Here, we describe an improved automated method of performing non-rigid registration customised for the challenges unique to scanned microscope data specifically addressing the issues of low-SNR data, images containing a large proportion of crystalline material and/or local features of interest such as dislocations or edges. Careful attention has been paid to artefact testing of the non-rigid registration method used, and the importance of this registration for the quantitative interpretation of feature intensities and positions is evaluated.  
  Address  
  Corporate Author Thesis  
  Publisher Place of Publication Editor  
  Language Wos 000218507000008 Publication Date 2015-07-09  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN 2198-0926; ISBN Additional Links UA library record; WoS full record; WoS citing articles  
  Impact Factor Times cited 131 Open Access  
  Notes 312483 Esteem2; esteem2_jra2 Approved (up) Most recent IF: NA  
  Call Number c:irua:126944 c:irua:126944 Serial 3043  
Permanent link to this record
 

 
Author Bals, S.; Van Aert, S.; Van Tendeloo, G.; van Dyck, D.; Avila-Brande, D. pdf  openurl
  Title Statistical estimation of oxygen atomic positions eith sub Ångstrom precision from exit wave reconstruction Type A3 Journal article
  Year 2005 Publication Microscopy and microanalysis Abbreviated Journal  
  Volume 11 Issue S Pages 556-557  
  Keywords A3 Journal article; Electron microscopy for materials research (EMAT); Vision lab  
  Abstract  
  Address  
  Corporate Author Thesis  
  Publisher Place of Publication Editor  
  Language Wos Publication Date 0000-00-00  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN ISBN Additional Links UA library record  
  Impact Factor Times cited Open Access  
  Notes Approved (up) Most recent IF: NA  
  Call Number UA @ lucian @ c:irua:54881 Serial 3155  
Permanent link to this record
 

 
Author Van Aert, S.; den Dekker, A.J.; van den Bos, A.; van Dyck, D. doi  openurl
  Title Statistical experimental design for quantitative atomic resolution transmission electron microscopy Type H1 Book chapter
  Year 2004 Publication Abbreviated Journal Adv Imag Elect Phys  
  Volume Issue Pages 1-164  
  Keywords H1 Book chapter; Electron microscopy for materials research (EMAT); Vision lab  
  Abstract  
  Address  
  Corporate Author Thesis  
  Publisher Academic Press Place of Publication San Diego, Calif. Editor  
  Language Wos 000223226700001 Publication Date 2011-01-05  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN 1076-5670; ISBN Additional Links UA library record; WoS full record; WoS citing articles  
  Impact Factor Times cited 13 Open Access  
  Notes Approved (up) Most recent IF: NA  
  Call Number UA @ lucian @ c:irua:47513 Serial 3156  
Permanent link to this record
 

 
Author Van Aert, S. isbn  openurl
  Title Statistical parameter estimation theory : a tool for quantitative electron microscopy Type H1 Book chapter
  Year 2012 Publication Abbreviated Journal  
  Volume Issue Pages 281-309  
  Keywords H1 Book chapter; Electron microscopy for materials research (EMAT)  
  Abstract  
  Address  
  Corporate Author Thesis  
  Publisher Wiley-VCH Place of Publication Weinheim Editor  
  Language Wos Publication Date 0000-00-00  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN ISBN 978-3-527-31706-6 Additional Links UA library record  
  Impact Factor Times cited Open Access  
  Notes Approved (up) Most recent IF: NA  
  Call Number UA @ lucian @ c:irua:96693 Serial 3159  
Permanent link to this record
 

 
Author Batenburg, J.; Van Aert, S. pdf  openurl
  Title Three-dimensional reconstruction of a nanoparticle at atomic resolution Type A2 Journal article
  Year 2011 Publication ERCIM news Abbreviated Journal  
  Volume 86 Issue Pages 52  
  Keywords A2 Journal article; Electron microscopy for materials research (EMAT); Vision lab  
  Abstract  
  Address  
  Corporate Author Thesis  
  Publisher Place of Publication Le Chesnay Editor  
  Language Wos Publication Date 0000-00-00  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN 0926-4981 ISBN Additional Links UA library record  
  Impact Factor Times cited Open Access  
  Notes Approved (up) Most recent IF: NA  
  Call Number UA @ lucian @ c:irua:94120 Serial 3655  
Permanent link to this record
 

 
Author De Backer, A.; De Wael, A.; Gonnissen, J.; Martinez, G.T.; Béché, A.; MacArthur, K.E.; Jones, L.; Nellist, P.D.; Van Aert, S. pdf  url
doi  openurl
  Title Quantitative annular dark field scanning transmission electron microscopy for nanoparticle atom-counting: What are the limits? Type P1 Proceeding
  Year 2015 Publication Journal of physics : conference series Abbreviated Journal  
  Volume 644 Issue 644 Pages 012034  
  Keywords P1 Proceeding; Electron microscopy for materials research (EMAT)  
  Abstract Quantitative atomic resolution annular dark field scanning transmission electron microscopy (ADF STEM) has become a powerful technique for nanoparticle atom-counting. However, a lot of nanoparticles provide a severe characterisation challenge because of their limited size and beam sensitivity. Therefore, quantitative ADF STEM may greatly benefit from statistical detection theory in order to optimise the instrumental microscope settings such that the incoming electron dose can be kept as low as possible whilst still retaining single-atom precision. The principles of detection theory are used to quantify the probability of error for atom-counting. This enables us to decide between different image performance measures and to optimise the experimental detector settings for atom-counting in ADF STEM in an objective manner. To demonstrate this, ADF STEM imaging of an industrial catalyst has been conducted using the near-optimal detector settings. For this experiment, we discussed the limits for atom-counting diagnosed by combining a thorough statistical method and detailed image simulations.  
  Address  
  Corporate Author Thesis  
  Publisher Place of Publication Editor  
  Language Wos 000366826200034 Publication Date 2015-10-13  
  Series Editor Series Title Abbreviated Series Title Electron Microscopy and Analysis Group Conference (EMAG), JUN 02-JUL 02, 2015, Manchester, ENGLAND  
  Series Volume Series Issue Edition  
  ISSN 1742-6588 ISBN Additional Links UA library record; WoS full record  
  Impact Factor Times cited Open Access  
  Notes The authors acknowledge financial support from the Research Foundation Flanders (FWO, Belgium) through project funding (G.0368.15N, G.0369.15N, and G.0374.15N) and a PhD research grant to A De Backer. The research leading to these results has received funding from the European Union Seventh Framework Programme under Grant Agreement 312483 – ESTEEM2 (Integrated Infrastructure Initiative-I3), ERC Starting Grant 278510 Vortex, and the UK Engineering and Physical Sciences Research Council (EP/K032518/1). The authors acknowledge Johnson-Matthey for providing the sample and PhD funding to K E MacArthur. A Rosenauer is acknowledged for providing the STEMsim program.; esteem2jra2; ECASJO; Approved (up) Most recent IF: NA  
  Call Number c:irua:130314 c:irua:130314 Serial 4050  
Permanent link to this record
 

 
Author Van Aert, S.; den Dekker, A.J.; van den Bos, A.; Van Dyck, D. doi  isbn
openurl 
  Title High resolution electron microscopy from imaging towards measuring Type H2 Book chapter
  Year 2001 Publication ... 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 Abbreviated Journal  
  Volume Issue Pages 2081-2086  
  Keywords H2 Book chapter; Electron microscopy for materials research (EMAT); Vision lab  
  Abstract  
  Address  
  Corporate Author Thesis  
  Publisher Ieee Place of Publication Editor  
  Language Wos Publication Date 2002-11-13  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN ISBN 0-7803-6646-8 Additional Links UA library record  
  Impact Factor Times cited Open Access  
  Notes Approved (up) Most recent IF: NA  
  Call Number UA @ lucian @ c:irua:136870 Serial 4501  
Permanent link to this record
 

 
Author de Backer, A.; De wael, A.; Gonnissen, J.; Martinez, G.T.; Béché, A.; MacArthur, K.E.; Jones, L.; Nellist, P.D.; Van Aert, S. url  doi
openurl 
  Title Quantitative annular dark field scanning transmission electron microscopy for nanoparticle atom-counting : what are the limits? Type A1 Journal article
  Year 2015 Publication Journal of physics : conference series Abbreviated Journal  
  Volume 644 Issue Pages 012034-4  
  Keywords A1 Journal article; Electron microscopy for materials research (EMAT)  
  Abstract Quantitative atomic resolution annular dark field scanning transmission electron microscopy (ADF STEM) has become a powerful technique for nanoparticle atom-counting. However, a lot of nanoparticles provide a severe characterisation challenge because of their limited size and beam sensitivity. Therefore, quantitative ADF STEM may greatly benefit from statistical detection theory in order to optimise the instrumental microscope settings such that the incoming electron dose can be kept as low as possible whilst still retaining single-atom precision. The principles of detection theory are used to quantify the probability of error for atom-counting. This enables us to decide between different image performance measures and to optimise the experimental detector settings for atom-counting in ADF STEM in an objective manner. To demonstrate this, ADF STEM imaging of an industrial catalyst has been conducted using the near-optimal detector settings. For this experiment, we discussed the limits for atomcounting diagnosed by combining a thorough statistical method and detailed image simulations.  
  Address  
  Corporate Author Thesis  
  Publisher Place of Publication Bristol Editor  
  Language Wos Publication Date  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN 1742-6588; 1742-6596 ISBN Additional Links UA library record  
  Impact Factor Times cited Open Access  
  Notes Approved (up) Most recent IF: NA  
  Call Number UA @ lucian @ c:irua:129198 Serial 4506  
Permanent link to this record
 

 
Author Van Aert, S.; Bals, S.; Chang, L.Y.; den Dekker, A.J.; Kirkland, A.I.; Van Dyck, D.; Van Tendeloo, G. doi  isbn
openurl 
  Title The benefits of statistical parameter estimation theory for quantitative interpretation of electron microscopy data Type H1 Book chapter
  Year 2008 Publication Abbreviated Journal  
  Volume Issue Pages 97-98  
  Keywords H1 Book chapter; Electron microscopy for materials research (EMAT); Vision lab  
  Abstract  
  Address  
  Corporate Author Thesis  
  Publisher Springer Place of Publication Berlin Editor  
  Language Wos Publication Date 2009-03-17  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN ISBN 978-3-540-85154-7 Additional Links UA library record  
  Impact Factor Times cited Open Access  
  Notes Approved (up) Most recent IF: NA  
  Call Number UA @ lucian @ c:irua:136865 Serial 4493  
Permanent link to this record
 

 
Author De Backer, A.; van den Bos, K.H.W.; Van den Broek, W.; Sijbers, J.; Van Aert, S. pdf  url
doi  openurl
  Title StatSTEM: An efficient program for accurate and precise model-based quantification of atomic resolution electron microscopy images Type P1 Proceeding
  Year 2017 Publication Journal of physics : conference series T2 – Electron Microscopy and Analysis Group Conference 2017 (EMAG2017), 3-6 July 2017, Manchester, UK Abbreviated Journal J. Phys.: Conf. Ser.  
  Volume 902 Issue Pages 012013  
  Keywords P1 Proceeding; Electron microscopy for materials research (EMAT); Vision lab  
  Abstract An efficient model-based estimation algorithm is introduced in order 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 the overlap between neighbouring columns, enabling the analysis of a large field of view. For this algorithm, the accuracy and precision with which measurements for the atomic column positions and scattering cross-sections from annular dark field (ADF) STEM images can be estimated, is investigated. The highest attainable precision is reached even for low dose images. Furthermore, advantages of the model- based approach taking into account overlap between neighbouring columns are highlighted. To provide end-users this well-established quantification method, a user friendly program, StatSTEM, is developed which is freely available under a GNU public license.  
  Address  
  Corporate Author Thesis  
  Publisher Place of Publication Editor  
  Language Wos 000416370700013 Publication Date 2017-10-16  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN 1742-6588 ISBN Additional Links UA library record; WoS full record; WoS citing articles  
  Impact Factor Times cited 1 Open Access OpenAccess  
  Notes The authors acknowledge nancial support from the Research Foundation Flanders (FWO, Belgium) through project funding (G.0374.13N, G.0368.15N, G.0369.15N, WO.010.16N) and a PhD research grant to K H W van den Bos, and a postdoctoral research grant to A De Backer. The research leading to these results has received funding from the European Union Seventh Framework Programme under Grant Agreement 312483 – ESTEEM2 (Integrated Infrastructure Initiative-I3). A Rosenauer is acknowledged for providing the STEMsim program. Approved (up) Most recent IF: NA  
  Call Number EMAT @ emat @c:irua:147188 Serial 4764  
Permanent link to this record
 

 
Author van den Bos, K.H.W.; Altantzis, T.; De Backer, A.; Van Aert, S.; Bals, S. pdf  url
doi  openurl
  Title Recent breakthroughs in scanning transmission electron microscopy of small species Type A1 Journal article
  Year 2018 Publication Advances in Physics: X Abbreviated Journal Advances in Physics: X  
  Volume 3 Issue 3 Pages 1480420  
  Keywords A1 Journal article; Electron microscopy for materials research (EMAT)  
  Abstract Over the last decade, scanning transmission electron microscopy has become one of the most powerful tools to characterise nanomaterials at the atomic scale. Often, the ultimate goal is to retrieve the three-dimensional structure, which is very challenging since small species are typically sensitive to electron irradiation. Nevertheless, measuring individual atomic positions is crucial to understand the relation between the structure and physicochemical properties of these (nano)materials. In this review, we highlight the latest approaches that are available to reveal the 3D atomic structure of small species. Finally, we will provide an outlook and will describe future challenges where the limits of electron microscopy will be pushed even further.  
  Address  
  Corporate Author Thesis  
  Publisher Place of Publication Editor  
  Language Wos 000441619500001 Publication Date 2018-08-13  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN 2374-6149 ISBN Additional Links UA library record; WoS full record; WoS citing articles  
  Impact Factor Times cited 8 Open Access OpenAccess  
  Notes This work was supported by the Research Foundation Flanders (FWO, Belgium) under Grant G.0368.15N, G.0369.15N, and G.0267.18N, by personal FWO Grants to K. H. W. van den Bos, T. Altantzis, and A. De Backer, and the European Research Council under Grant 335078 COLOURATOM to S. Bals. The authors would like to thank the colleagues who have contributed to this work over the years, including A. M. Abakumov, K. J. Batenburg, E. Countiño-Gonzalez, C. de Mello Donega, R. Erni, J. J. Geuchies, B. Goris, J. Hofkens, L. Jones, P. Lievens, L. M. Liz-Marzán, I. Lobato, G. T. Martinez, P. D. Nellist, B. Partoens, M. B. J. Roeffaers, M.D. Rossell, B. Schoeters, M. J. Van Bael, W. van der Stam, M. van Huis, G. Van Tendeloo, D. Vanmaekelbergh, and N. Winckelmans. (ROMEO:green; preprint:; postprint:can ; pdfversion:can); saraecas; ECAS_Sara; Approved (up) Most recent IF: NA  
  Call Number EMAT @ emat @c:irua:152820UA @ admin @ c:irua:152820 Serial 5007  
Permanent link to this record
 

 
Author Goris, B.; De Beenhouwer, J.; de Backer, A.; Zanaga, D.; Batenburg, J.; Sanchez-Iglesias, A.; Liz-Marzan, L.; Van Aert, S.; Sijbers, J.; Van Tendeloo, G.; Bals, S. doi  openurl
  Title Investigating lattice strain in Au nanodecahedrons Type P1 Proceeding
  Year 2016 Publication Abbreviated Journal  
  Volume Issue Pages 11-12  
  Keywords P1 Proceeding; Electron microscopy for materials research (EMAT); Vision lab  
  Abstract  
  Address  
  Corporate Author Thesis  
  Publisher Place of Publication Editor  
  Language Wos Publication Date 2016-12-21  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN 978-3-527-80846-5 ISBN Additional Links UA library record  
  Impact Factor Times cited Open Access Not_Open_Access  
  Notes Approved (up) Most recent IF: NA  
  Call Number UA @ lucian @ c:irua:145813 Serial 5144  
Permanent link to this record
 

 
Author Groenendijk, D.J.; Autieri, C.; van Thiel, T.C.; Brzezicki, W.; Hortensius, J.R.; Afanasiev, D.; Gauquelin, N.; Barone, P.; van den Bos, K.H.W.; van Aert, S.; Verbeeck, J.; Filippetti, A.; Picozzi, S.; Cuoco, M.; Caviglia, A.D. pdf  url
doi  openurl
  Title Berry phase engineering at oxide interfaces Type A1 Journal article
  Year 2020 Publication Abbreviated Journal Phys. Rev. Research  
  Volume 2 Issue 2 Pages 023404  
  Keywords A1 Journal article; Electron microscopy for materials research (EMAT)  
  Abstract Three-dimensional strontium ruthenate (SrRuO3) is an itinerant ferromagnet that features Weyl points acting as sources of emergent magnetic fields, anomalous Hall conductivity, and unconventional spin dynamics. Integrating SrRuO3 in oxide heterostructures is potentially a novel route to engineer emergent electrodynamics, but its electronic band topology in the two-dimensional limit remains unknown. Here we show that ultrathin SrRuO3 exhibits spin-polarized topologically nontrivial bands at the Fermi energy. Their band anticrossings show an enhanced Berry curvature and act as competing sources of emergent magnetic fields. We control their balance by designing heterostructures with symmetric (SrTiO3/SrRuO3/SrTiO3 and SrIrO3/SrRuO3/SrIrO3) and asymmetric interfaces (SrTiO3/SrRuO3/SrIrO3). Symmetric structures exhibit an interface-tunable single-channel anomalous Hall effect, while ultrathin SrRuO3 embedded in asymmetric structures shows humplike features consistent with multiple Hall contributions. The band topology of two-dimensional SrRuO3 proposed here naturally accounts for these observations and harmonizes a large body of experimental results.  
  Address  
  Corporate Author Thesis  
  Publisher Place of Publication Editor  
  Language Wos 000603642700008 Publication Date 2020-06-25  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN 2643-1564 ISBN Additional Links UA library record; WoS full record; WoS citing articles  
  Impact Factor Times cited 58 Open Access OpenAccess  
  Notes Nederlandse Organisatie voor Wetenschappelijk Onderzoek; Fonds Wetenschappelijk Onderzoek; European Research Council; Horizon 2020, 677458 770887 731473 ; Fondazione Cariplo, 2013-0726 ; Narodowe Centrum Nauki, 2016/23/B/ST3/00839 ; Fundacja na rzecz Nauki Polskiej; Universiteit Antwerpen; Vlaamse regering; Approved (up) Most recent IF: NA  
  Call Number EMAT @ emat @c:irua:172462 Serial 6401  
Permanent link to this record
 

 
Author Fatermans, J.; de Backer, A.; den Dekker, A.J.; Van Aert, S. pdf  doi
isbn  openurl
  Title Atom column detection Type H2 Book chapter
  Year 2021 Publication Advances in imaging and electron physics T2 – Advances in imaging and electron physics Abbreviated Journal  
  Volume Issue Pages 177-214  
  Keywords H2 Book chapter; Electron microscopy for materials research (EMAT); Vision lab  
  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.  
  Address  
  Corporate Author Thesis  
  Publisher Place of Publication Editor  
  Language Wos Publication Date 2021-03-06  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume 217 Series Issue Edition  
  ISSN ISBN 978-0-12-824607-8; 1076-5670 Additional Links UA library record  
  Impact Factor Times cited Open Access Not_Open_Access  
  Notes ERC Consolidator project funded by the European Union grant #770887 Picometrics Approved (up) Most recent IF: NA  
  Call Number UA @ admin @ c:irua:177531 Serial 6775  
Permanent link to this record
 

 
Author de Backer, A.; Fatermans, J.; den Dekker, A.J.; Van Aert, S. pdf  doi
isbn  openurl
  Title Atom counting Type H2 Book chapter
  Year 2021 Publication Advances in imaging and electron physics T2 – Advances in imaging and electron physics Abbreviated Journal  
  Volume Issue Pages 91-144  
  Keywords H2 Book chapter; Electron microscopy for materials research (EMAT); Vision lab  
  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.  
  Address  
  Corporate Author Thesis  
  Publisher Place of Publication Editor  
  Language Wos Publication Date 2021-03-06  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume 217 Series Issue Edition  
  ISSN ISBN 978-0-12-824607-8; 1076-5670 Additional Links UA library record  
  Impact Factor Times cited Open Access Not_Open_Access  
  Notes ERC Consolidator project funded by the European Union grant #770887 Picometrics Approved (up) Most recent IF: NA  
  Call Number UA @ admin @ c:irua:177529 Serial 6776  
Permanent link to this record
 

 
Author de Backer, A.; Fatermans, J.; den Dekker, A.J.; Van Aert, S. pdf  doi
isbn  openurl
  Title Efficient fitting algorithm Type H2 Book chapter
  Year 2021 Publication Advances in imaging and electron physics T2 – Advances in imaging and electron physics Abbreviated Journal  
  Volume Issue Pages 73-90  
  Keywords H2 Book chapter; Electron microscopy for materials research (EMAT)  
  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.  
  Address  
  Corporate Author Thesis  
  Publisher Place of Publication Editor  
  Language Wos Publication Date 2021-03-06  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume 217 Series Issue Edition  
  ISSN ISBN 978-0-12-824607-8; 1076-5670 Additional Links UA library record  
  Impact Factor Times cited Open Access Not_Open_Access  
  Notes ERC Consolidator project funded by the European Union grant #770887 Picometrics Approved (up) Most recent IF: NA  
  Call Number UA @ admin @ c:irua:177528 Serial 6778  
Permanent link to this record
 

 
Author de Backer, A.; Fatermans, J.; den Dekker, A.J.; Van Aert, S. pdf  doi
isbn  openurl
  Title General conclusions and future perspectives Type H2 Book chapter
  Year 2021 Publication Advances in imaging and electron physics T2 – Advances in imaging and electron physics Abbreviated Journal  
  Volume Issue Pages 243-253  
  Keywords H2 Book chapter; Electron microscopy for materials research (EMAT); Vision lab  
  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.  
  Address  
  Corporate Author Thesis  
  Publisher Place of Publication Editor  
  Language Wos Publication Date 2021-03-06  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume 217 Series Issue Edition  
  ISSN ISBN 978-0-12-824607-8; 1076-5670 Additional Links UA library record  
  Impact Factor Times cited Open Access Not_Open_Access  
  Notes ERC Consolidator project funded by the European Union grant #770887 Picometrics Approved (up) Most recent IF: NA  
  Call Number UA @ admin @ c:irua:177533 Serial 6781  
Permanent link to this record
 

 
Author Fatermans, J.; de Backer, A.; den Dekker, A.J.; Van Aert, S. pdf  doi
isbn  openurl
  Title Image-quality evaluation and model selection with maximum a posteriori probability Type H2 Book chapter
  Year 2021 Publication Advances in imaging and electron physics T2 – Advances in imaging and electron physics Abbreviated Journal  
  Volume Issue Pages 215-242  
  Keywords H2 Book chapter; Electron microscopy for materials research (EMAT); Vision lab  
  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.  
  Address  
  Corporate Author Thesis  
  Publisher Place of Publication Editor  
  Language Wos Publication Date 2021-03-06  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume 217 Series Issue Edition  
  ISSN ISBN 978-0-12-824607-8; 1076-5670 Additional Links UA library record  
  Impact Factor Times cited Open Access Not_Open_Access  
  Notes ERC Consolidator project funded by the European Union grant #770887 Picometrics Approved (up) Most recent IF: NA  
  Call Number UA @ admin @ c:irua:177532 Serial 6782  
Permanent link to this record
 

 
Author de Backer, A.; Fatermans, J.; den Dekker, A.J.; Van Aert, S. pdf  doi
isbn  openurl
  Title Introduction Type H2 Book chapter
  Year 2021 Publication Advances in imaging and electron physics T2 – Advances in imaging and electron physics Abbreviated Journal  
  Volume Issue Pages 1-28  
  Keywords H2 Book chapter; Electron microscopy for materials research (EMAT)  
  Abstract  
  Address  
  Corporate Author Thesis  
  Publisher Place of Publication Editor  
  Language Wos Publication Date 2021-03-06  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume 217 Series Issue Edition  
  ISSN ISBN 978-0-12-824607-8; 1076-5670 Additional Links UA library record  
  Impact Factor Times cited Open Access Not_Open_Access  
  Notes ERC Consolidator project funded by the European Union grant #770887 Picometrics Approved (up) Most recent IF: NA  
  Call Number UA @ admin @ c:irua:177525 Serial 6784  
Permanent link to this record
 

 
Author de Backer, A.; Fatermans, J.; den Dekker, A.J.; Van Aert, S. pdf  doi
isbn  openurl
  Title Optimal experiment design for nanoparticle atom counting from ADF STEM images Type H2 Book chapter
  Year 2021 Publication Advances in imaging and electron physics T2 – Advances in imaging and electron physics Abbreviated Journal  
  Volume Issue Pages 145-175  
  Keywords H2 Book chapter; Electron microscopy for materials research (EMAT); Vision lab  
  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.  
  Address  
  Corporate Author Thesis  
  Publisher Place of Publication Editor  
  Language Wos Publication Date 2021-03-06  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume 217 Series Issue Edition  
  ISSN ISBN 978-0-12-824607-8; 1076-5670 Additional Links UA library record  
  Impact Factor Times cited Open Access Not_Open_Access  
  Notes ERC Consolidator project funded by the European Union grant #770887 Picometrics Approved (up) Most recent IF: NA  
  Call Number UA @ admin @ c:irua:177530 Serial 6785  
Permanent link to this record
 

 
Author de Backer, A.; Fatermans, J.; den Dekker, A.J.; Van Aert, S. pdf  doi
isbn  openurl
  Title Statistical parameter estimation theory : principles and simulation studies Type H2 Book chapter
  Year 2021 Publication Advances in imaging and electron physics T2 – Advances in imaging and electron physics Abbreviated Journal  
  Volume Issue Pages 29-72  
  Keywords H2 Book chapter; Electron microscopy for materials research (EMAT); Vision lab  
  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.  
  Address  
  Corporate Author Thesis  
  Publisher Place of Publication Editor  
  Language Wos Publication Date 2021-03-06  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume 217 Series Issue Edition  
  ISSN ISBN 978-0-12-824607-8; 1076-5670 Additional Links UA library record  
  Impact Factor Times cited Open Access Not_Open_Access  
  Notes ERC Consolidator project funded by the European Union grant #770887 Picometrics Approved (up) Most recent IF: NA  
  Call Number UA @ admin @ c:irua:177527 Serial 6788  
Permanent link to this record
 

 
Author Arslan Irmak, E.; Liu, P.; Bals, S.; Van Aert, S. pdf  url
doi  openurl
  Title 3D Atomic Structure of Supported Metallic Nanoparticles Estimated from 2D ADF STEM Images: A Combination of Atom – Counting and a Local Minima Search Algorithm Type A1 Journal article
  Year 2021 Publication Small methods Abbreviated Journal Small Methods  
  Volume Issue Pages 2101150  
  Keywords A1 Journal article; Engineering sciences. Technology; Electron microscopy for materials research (EMAT)  
  Abstract Determining the three-dimensional (3D) atomic structure of nanoparticles (NPs) is critical to understand their structure-dependent properties. It is hereby important to perform such analyses under conditions relevant for the envisioned application. Here, we investigate the 3D structure of supported Au NPs at high temperature, which is of importance to understand their behavior during catalytic reactions. To overcome limitations related to conventional high-resolution electron tomography at high temperature, 3D characterization of NPs with atomic resolution has been performed by applying atom-counting using atomic resolution annular darkfield scanning transmission electron microscopy (ADF STEM) images followed by structural relaxation. However, at high temperatures, thermal displacements, which affect the ADF STEM intensities, should be taken into account. Moreover, it is very likely that the structure of a NP investigated at elevated temperature deviates from a ground state configuration, which is difficult to determine using purely computational energy minimization approaches. In this paper, we therefore propose an optimized approach using an iterative local minima search algorithm followed by molecular dynamics (MD) structural relaxation of candidate structures associated with each local minimum. In this manner, it becomes possible to investigate the 3D atomic structure of supported NPs, which may deviate from their ground state configuration.  
  Address  
  Corporate Author Thesis  
  Publisher Place of Publication Editor  
  Language Wos 000716511600001 Publication Date 2021-11-10  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN 2366-9608 ISBN Additional Links UA library record; WoS full record; WoS citing articles  
  Impact Factor Times cited 12 Open Access OpenAccess  
  Notes This work was supported by the European Research Council (Grant 815128 REALNANO to SB, Grant 770887 PICOMETRICS to SVA, Grant 823717 ESTEEM3). The authors acknowledge financial support from the Research Foundation Flanders (FWO, Belgium) through project funding (G.0267.18N, G.0502.18N, G.0346.21N).; sygmaSB; esteem3jra; esteem3reported Approved (up) Most recent IF: NA  
  Call Number EMAT @ emat @c:irua:183289 Serial 6820  
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Author Zheng, Y.-R.; Vernieres, J.; Wang, Z.; Zhang, K.; Hochfilzer, D.; Krempl, K.; Liao, T.-W.; Presel, F.; Altantzis, T.; Fatermans, J.; Scott, S.B.; Secher, N.M.; Moon, C.; Liu, P.; Bals, S.; Van Aert, S.; Cao, A.; Anand, M.; Nørskov, J.K.; Kibsgaard, J.; Chorkendorff, I. url  doi
openurl 
  Title Monitoring oxygen production on mass-selected iridium–tantalum oxide electrocatalysts Type A1 Journal article
  Year 2021 Publication Nature Energy Abbreviated Journal Nat Energy  
  Volume Issue Pages  
  Keywords A1 Journal article; Engineering sciences. Technology; Electron microscopy for materials research (EMAT); Applied Electrochemistry & Catalysis (ELCAT)  
  Abstract Development of low-cost and high-performance oxygen evolution reaction catalysts is key to implementing polymer electrolyte membrane water electrolyzers for hydrogen production. Iridium-based oxides are the state-of-the-art acidic oxygen evolution reactio catalysts but still suffer from inadequate activity and stability, and iridium's scarcity motivates the discovery of catalysts with lower iridium loadings. Here we report a mass-selected iridium-tantalum oxide catalyst prepared by a magnetron-based cluster source with considerably reduced noble-metal loadings beyond a commercial IrO2 catalyst. A sensitive electrochemistry/mass-spectrometry instrument coupled with isotope labelling was employed to investigate the oxygen production rate under dynamic operating conditions to account for the occurrence of side reactions and quantify the number of surface active sites. Iridium-tantalum oxide nanoparticles smaller than 2 nm exhibit a mass activity of 1.2 ± 0.5 kA “g” _“Ir” ^“-1” and a turnover frequency of 2.3 ± 0.9 s-1 at 320 mV overpotential, which are two and four times higher than those of mass-selected IrO2, respectively. Density functional theory calculations reveal that special iridium coordinations and the lowered aqueous decomposition free energy might be responsible for the enhanced performance.  
  Address  
  Corporate Author Thesis  
  Publisher Place of Publication Editor  
  Language Wos 000728458000001 Publication Date 2021-12-09  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN 2058-7546 ISBN Additional Links UA library record; WoS full record; WoS citing articles  
  Impact Factor Times cited 95 Open Access OpenAccess  
  Notes Y.-R.Z. and Z.W acknowledge funding from the Toyota Research Institute. This project has received funding from VILLUM FONDEN (grant no. 9455) and the European Research Council under the European Union’s Horizon 2020 research and innovation programme (grants no. 741860-CLUNATRA, no. 815128−REALNANO and no. 770887−PICOMETRICS). S.B. and S.V.A. acknowledge funding from the Research Foundation Flanders (FWO, G026718N and G050218N). T.A. acknowledges the University of Antwerp Research Fund (BOF). STEM measurements were supported by the European Union's Horizon 2020 Research Infrastructure-Integrating Activities for Advanced Communities under grant agreement No 823717 – ESTEEM3.; sygmaSB Approved (up) Most recent IF: NA  
  Call Number EMAT @ emat @c:irua:184794 Serial 6903  
Permanent link to this record
 

 
Author Friedrich, T.; Yu, C.-P.; Verbeek, J.; Pennycook, T.; Van Aert, S. pdf  url
doi  openurl
  Title Phase retrieval from 4-dimensional electron diffraction datasets Type P1 Proceeding
  Year 2021 Publication Proceedings T2 – IEEE International Conference on Image Processing (ICIP), SEP 19-22, 2021, Electr. network Abbreviated Journal  
  Volume Issue Pages 3453-3457  
  Keywords P1 Proceeding; Engineering sciences. Technology; Electron microscopy for materials research (EMAT)  
  Abstract We present a computational imaging mode for large scale electron microscopy data, which retrieves a complex wave from noisy/sparse intensity recordings using a deep learning approach and subsequently reconstructs an image of the specimen from the Convolutional Neural Network (CNN) predicted exit waves. We demonstrate that an appropriate forward model in combination with open data frameworks can be used to generate large synthetic datasets for training. In combination with augmenting the data with Poisson noise corresponding to varying dose-values, we effectively eliminate overfitting issues. The U-NET[1] based architecture of the CNN is adapted to the task at hand and performs well while maintaining a relatively small size and fast performance. The validity of the approach is confirmed by comparing the reconstruction to well-established methods using simulated, as well as real electron microscopy data. The proposed method is shown to be effective particularly in the low dose range, evident by strong suppression of noise, good spatial resolution, and sensitivity to different atom types, enabling the simultaneous visualisation of light and heavy elements and making different atomic species distinguishable. Since the method acts on a very local scale and is comparatively fast it bears the potential to be used for near-real-time reconstruction during data acquisition.  
  Address  
  Corporate Author Thesis  
  Publisher Place of Publication Editor  
  Language Wos 000819455103114 Publication Date 2021-08-23  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN 978-1-6654-4115-5 ISBN Additional Links UA library record; WoS full record; WoS citing articles  
  Impact Factor Times cited Open Access OpenAccess  
  Notes Approved (up) Most recent IF: NA  
  Call Number UA @ admin @ c:irua:189462 Serial 7089  
Permanent link to this record
 

 
Author De Backer, A.; Van Aert, S.; Faes, C.; Arslan Irmak, E.; Nellist, P.D.; Jones, L. url  doi
openurl 
  Title Experimental reconstructions of 3D atomic structures from electron microscopy images using a Bayesian genetic algorithm Type A1 Journal article
  Year 2022 Publication N P J Computational Materials Abbreviated Journal npj Comput Mater  
  Volume 8 Issue 1 Pages 216  
  Keywords A1 Journal article; Electron microscopy for materials research (EMAT)  
  Abstract We introduce a Bayesian genetic algorithm for reconstructing atomic models of monotype crystalline nanoparticles from a single projection using Z-contrast imaging. The number of atoms in a projected atomic column obtained from annular dark field scanning transmission electron microscopy images serves as an input for the initial three-dimensional model. The algorithm minimizes the energy of the structure while utilizing a priori information about the finite precision of the atom-counting results and neighbor-mass relations. The results show promising prospects for obtaining reliable reconstructions of beam-sensitive nanoparticles during dynamical processes from images acquired with sufficiently low incident electron doses.  
  Address  
  Corporate Author Thesis  
  Publisher Place of Publication Editor  
  Language Wos 000866500900001 Publication Date 2022-10-12  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN 2057-3960 ISBN Additional Links UA library record; WoS full record; WoS citing articles  
  Impact Factor Times cited Open Access OpenAccess  
  Notes This work was supported by the European Research Council (Grant 770887 PICOMETRICS to S.V.A. and Grant 823717 ESTEEM3). The authors acknowledge financial support from the Research Foundation Flanders (FWO, Belgium) through project fundings (G.0267.18N, G.0502.18N, G.0346.21N) and a postdoctoral grant to A.D.B. L.J. acknowledges Science Foundation Ireland (SFI – grant number URF/RI/191637), the Royal Society, and the AMBER Centre. The authors acknowledge Aakash Varambhia for his assistance and expertise with the experimental recording and use of characterization facilities within the David Cockayne Centre for Electron Microscopy, Department of Materials, University of Oxford, and in particular the EPSRC (EP/K040375/1 South of England Analytical Electron Microscope).; esteem3reported; esteem3JRA Approved (up) Most recent IF: NA  
  Call Number EMAT @ emat @c:irua:191398 Serial 7114  
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