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Volume 26 - Supplement S2 - August 2020

Contents

Page 26 of 57

In Situ TEM at the Extremes

  • Kinetically Favorable Growth of Oxides Nanowires and Pyramids with Gold Seeds

  • Guo-zhen Zhu, Minghui Lin, Yushun Liu, Dong Yue Xie, Si-yu Yao
  • Published online by Cambridge University Press:
    30 July 2020, pp. 1430-1431
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  • In Situ TEM Observation of Epitaxy-induced NaCl Phase Transformation on the Au Nanowire Substrate

  • Wenbo Xin, Igor M. De Rosa, Jenn-Ming Yang
  • Published online by Cambridge University Press:
    30 July 2020, pp. 1434-1436
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  • Introduction of Advanced Electron Microscopy In-situ Techniques in CAMMA

  • Lichun ZHANG, Mark Aindow
  • Published online by Cambridge University Press:
    30 July 2020, pp. 1440-1441
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  • In Situ Observation of Electrochemical Reduction of CO2 Using Cuprous and Intermetallic Catalysts

  • Guangming Cheng, Nan Yao
  • Published online by Cambridge University Press:
    30 July 2020, pp. 1444-1446
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  • Applications of Graphene Liquid Cell

  • Lopa Bhatt, Nathan Rosenmann, Jinglong Guo, Mark Schlossman, Robert Klie
  • Published online by Cambridge University Press:
    30 July 2020, pp. 1452-1453
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Approaching Operando Imaging of Functional Materials

  • Ex-situ TEM: Insights into Metal Particle Growth During Fischer-Tropsch Synthesis

  • Chris Kliewer, Stu Soled, Gabor Kiss
  • Published online by Cambridge University Press:
    30 July 2020, pp. 1454-1455
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  • Realistic Bulk Electrochemistry in Liquid Cell Microscopy

  • Khim Karki, Rui Serra-Maia, Eric Stach, Daan Hein Alsem, Norman Salmon
  • Published online by Cambridge University Press:
    30 July 2020, pp. 1458-1459
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  • In Situ Microscopy Study of ZnO Acid Etching Nanostructures

  • Fangyuan Liu, Xingxu Lu, Zichao Bian, Xiaohui Song, Guoan Zheng, Pu-Xian Gao
  • Published online by Cambridge University Press:
    30 July 2020, pp. 1464-1466
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Advances in Modeling, Simulation, and Artificial Intelligence in Microscopy and Microanalysis for Physical and Biological Systems

  • Component Detection and Evaluation Framework (CDEF): A Semantic Annotation Tool

  • Nathan Jessurun, Olivia Paradis, Alexandra Roberts, Navid Asadizanjani
  • Published online by Cambridge University Press:
    30 July 2020, pp. 1470-1474
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  • Image labeling is the process of manually assigning a class to subregions within an image for machine learning applications. When these subregions are complex shapes, this process is known as semantic segmentation. We propose a new software application, the Component Detection and Evaluation Framework (CDEF), for creating such semantic labels. The benefits of CDEF over existing tools are highlighted, and further improvements are proposed.

  • Architecture Optimization and Interpretability in Neural Networks for HRTEM Segmentation

  • Catherine Groschner, Mary Scott
  • Published online by Cambridge University Press:
    30 July 2020, pp. 1476-1477
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  • Making Image Analysis Easier with Machine Learning: A Foam Cell Size Study

  • Jui-Ching Lin, Valentina Woodcraft
  • Published online by Cambridge University Press:
    30 July 2020, pp. 1478-1480
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Page 26 of 57