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Volume 23 - October 2017

Contents

Page 28 of 65

Analytical and Instrumentation Science Symposia

Pushing the Limits of Cryo-TEM: Development and Applications

Abstract

  • Towards High Resolution in Cryo-Electron Tomography Subtomogram Analysis

  • Stefan Pfeffer, Maryam Khoshouei, Radostin Danev, Friedrich Förster
  • Published online by Cambridge University Press:
    04 August 2017, pp. 812-813
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  • Going Deeper in Cryo Electron Tomography with Neural Networks

  • Muyuan Chen, Wei Dai, Stella Y. Sun, Michael F. Schmid, Wah Chiu, Steven J. Ludtke
  • Published online by Cambridge University Press:
    04 August 2017, pp. 814-815
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  • Phase Contrast Single Particle Analysis at Atomic Resolutions

  • Maryam Khoshouei, Radostin Danev, Mazdak Radjainia, Wolfgang Baumeister
  • Published online by Cambridge University Press:
    04 August 2017, pp. 816-817
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  • Efficient Cryo-EM: Measuring Effects of Particle Orientation in Electron Microscopy

  • Katerina Naydenova, Christopher J. Russo
  • Published online by Cambridge University Press:
    04 August 2017, pp. 818-819
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  • Improving Detectors for Cryo-Electron Microscopy

  • Paul Mooney
  • Published online by Cambridge University Press:
    04 August 2017, pp. 832-833
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  • Accurate Cryo-EM Characterizations of Polypeptoid Vesicles

  • Xi Jiang, Jing Sun, Ronald N. Zuckermann, Nitash P. Balsara, Kenneth H. Downing
  • Published online by Cambridge University Press:
    04 August 2017, pp. 836-837
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  • The Future of Direct Electron Detection in Cryo-TEM

  • Gijs van Duinen, Lingbo Yu, Erik Franken, Maarten Kuijper, Hans Roeven, Bart Janssen
  • Published online by Cambridge University Press:
    04 August 2017, pp. 838-839
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  • Self-Blotting Nanowire Grids for Cryo-EM Sample Preparation

  • Hui Wei, Venkat Dandey, Zhening Zhang, Ashleigh Raczkowski, Bridget Carragher, Clinton S. Potter
  • Published online by Cambridge University Press:
    04 August 2017, pp. 848-849
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  • Almost every aspect of cryo electron microscopy (CryoEM) has been automated over the last few decades. One of the challenges that remains to be addressed is the robust and reliable preparation of vitrified specimens of suitable ice thickness. The development of a new self-blotting nanowire (Zhang et al., 2013) grid in conjunction with a piezo electric dispensing robot called Spotiton (Jain et al., 2012) enables spreading a sample to a thin film without the use of externally applied filter paper. This new approach has the advantage of using small amounts of protein material, resulting in large areas of ice of a well- defined thickness containing evenly distributed particles (Razinkov et al., 2016).

Page 28 of 65