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Author Albrecht, W.; Bals, S. url  doi
openurl 
  Title Fast Electron Tomography for Nanomaterials Type A1 Journal article
  Year (down) 2020 Publication Journal Of Physical Chemistry C Abbreviated Journal J Phys Chem C  
  Volume Issue Pages acs.jpcc.0c08939  
  Keywords A1 Journal article; Engineering sciences. Technology; Electron microscopy for materials research (EMAT)  
  Abstract Electron tomography (ET) has become a well-established technique to visualize nanomaterials in three dimensions. A vast richness in information can be gained by ET, but the conventional acquisition of a tomography series is an inherently slow process on the order of 1 h. The slow acquisition limits the applicability of ET for monitoring dynamic processes or visualizing nanoparticles, which are sensitive to the electron beam. In this Perspective, we summarize recent work on the development of emerging experimental and computational schemes to enhance the data acquisition process. We particularly focus on the application of these fast ET techniques for beam-sensitive materials and highlight insight into dynamic transformations of nanoparticles under external stimuli, which could be gained by fast in situ ET. Moreover, we discuss challenges and possible solutions for simultaneously increasing the speed and quality of fast ET.  
  Address  
  Corporate Author Thesis  
  Publisher Place of Publication Editor  
  Language Wos 000608876900003 Publication Date 2020-11-27  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN 1932-7447 ISBN Additional Links UA library record; WoS full record; WoS citing articles  
  Impact Factor 3.7 Times cited 26 Open Access OpenAccess  
  Notes H2020 Research Infrastructures, 823717 ; H2020 European Research Council, 815128 ; The authors acknowledge funding from the European Research Council under the European Union’s Horizon 2020 research and innovation program (ERC Consolidator Grant No. 815128-REALNANO) and the European Commission (EUSMI). The authors furthermore acknowledge funding from the European Union’s Horizon 2020 research and innovation program, ESTEEM3. The authors also acknowledge contributions from all co-workers that have contributed over the years: J. Batenburg and co-workers, A. Béché, E. Bladt, L. Liz-Marzán and co-workers, H. Pérez Garza and co-workers, A. Skorikov, S. Skrabalak and co-workers, S. Van Aert, A. van Blaaderen and co-workers, H. Vanrompay, and J. Verbeeck.; sygma Approved Most recent IF: 3.7; 2020 IF: 4.536  
  Call Number EMAT @ emat @c:irua:173965 Serial 6656  
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