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130 results

Page 1 of 7

  • Rhodium Doping of Strontium Titanate for Enhanced Visible Light Absorption

  • Piyush Haluai, Peter A. Crozier
  • Journal:
    / Volume 28 / Issue S1 / August 2022
    Published online by Cambridge University Press:
    22 July 2022, pp. 1880-1882
    Print publication:
    August 2022
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  • In Situ Engineering and Characterization of Photonic Modes in Dielectric Nanocubes

  • Yifan Wang, Piyush Haluai, Peter A. Crozier
  • Journal:
    / Volume 28 / Issue S1 / August 2022
    Published online by Cambridge University Press:
    22 July 2022, pp. 1972-1974
    Print publication:
    August 2022
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  • How to Get Something Out of Nothing (Almost!): Extracting Information from Noisy Data

  • Peter A. Crozier
  • Journal:
    / Volume 28 / Issue S1 / August 2022
    Published online by Cambridge University Press:
    22 July 2022, pp. 2976-2977
    Print publication:
    August 2022
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  • Revealing Photonic Properties with High Spatial Resolution: An EELS Study on Ceria Nanocubes

  • Yifan Wang, Shize Yang, Peter A. Crozier
  • Journal:
    / Volume 28 / Issue S1 / August 2022
    Published online by Cambridge University Press:
    22 July 2022, pp. 1986-1988
    Print publication:
    August 2022
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  • Atomic Scale Visualization of Cation Point Defects in Gadolinium Doped Ceria

  • Mai Tan, Rachel Gorelik, Shize Yang, Peter A. Crozier
  • Journal:
    / Volume 28 / Issue S1 / August 2022
    Published online by Cambridge University Press:
    22 July 2022, pp. 2384-2386
    Print publication:
    August 2022
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  • Probing Response and Functionality in Active Materials Systems with In Situ Electron Microscopy

  • Peter A. Crozier
  • Journal:
    / Volume 28 / Issue S1 / August 2022
    Published online by Cambridge University Press:
    22 July 2022, pp. 158-159
    Print publication:
    August 2022
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  • Detection of Adsorbates Induced Changes on Pt/CeO2 Catalyst using In situ Electron Holography

  • Piyush Haluai, Martha R McCartney, Peter A. Crozier
  • Journal:
    / Volume 28 / Issue S1 / August 2022
    Published online by Cambridge University Press:
    22 July 2022, pp. 1906-1907
    Print publication:
    August 2022
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  • Exploring Blob Detection to Determine Atomic Column Positions and Intensities in Time-Resolved TEM Images with Ultra-Low Signal-to-Noise

  • Ramon Manzorro, Yuchen Xu, Joshua L. Vincent, Roberto Rivera, David S. Matteson, Peter A. Crozier
  • Journal:
    / Volume 28 / Issue 6 / December 2022
    Published online by Cambridge University Press:
    28 March 2022, pp. 1917-1930
    Print publication:
    December 2022
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      • Open access
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  • Spatially resolved in situ transmission electron microscopy (TEM), equipped with direct electron detection systems, is a suitable technique to record information about the atom-scale dynamics with millisecond temporal resolution from materials. However, characterizing dynamics or fluxional behavior requires processing short time exposure images which usually have severely degraded signal-to-noise ratios. The poor signal-to-noise associated with high temporal resolution makes it challenging to determine the position and intensity of atomic columns in materials undergoing structural dynamics. To address this challenge, we propose a noise-robust, processing approach based on blob detection, which has been previously established for identifying objects in images in the community of computer vision. In particular, a blob detection algorithm has been tailored to deal with noisy TEM image series from nanoparticle systems. In the presence of high noise content, our blob detection approach is demonstrated to outperform the results of other algorithms, enabling the determination of atomic column position and its intensity with a higher degree of precision.

  • Developing and Evaluating Deep Neural Network-Based Denoising for Nanoparticle TEM Images with Ultra-Low Signal-to-Noise

  • Joshua L. Vincent, Ramon Manzorro, Sreyas Mohan, Binh Tang, Dev Y. Sheth, Eero P. Simoncelli, David S. Matteson, Carlos Fernandez-Granda, Peter A. Crozier
  • Journal:
    / Volume 27 / Issue 6 / December 2021
    Published online by Cambridge University Press:
    16 September 2021, pp. 1431-1447
    Print publication:
    December 2021
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      • Open access
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  • A deep convolutional neural network has been developed to denoise atomic-resolution transmission electron microscope image datasets of nanoparticles acquired using direct electron counting detectors, for applications where the image signal is severely limited by shot noise. The network was applied to a model system of CeO2-supported Pt nanoparticles. We leverage multislice image simulations to generate a large and flexible dataset for training the network. The proposed network outperforms state-of-the-art denoising methods on both simulated and experimental test data. Factors contributing to the performance are identified, including (a) the geometry of the images used during training and (b) the size of the network's receptive field. Through a gradient-based analysis, we investigate the mechanisms learned by the network to denoise experimental images. This shows that the network exploits both extended and local information in the noisy measurements, for example, by adapting its filtering approach when it encounters atomic-level defects at the nanoparticle surface. Extensive analysis has been done to characterize the network's ability to correctly predict the exact atomic structure at the nanoparticle surface. Finally, we develop an approach based on the log-likelihood ratio test that provides a quantitative measure of the agreement between the noisy observation and the atomic-level structure in the network-denoised image.

  • Effect of Cation Point Defects in Doped Ceria Materials on Surface Oxygen Vacancies and Exchange Reactions

  • Mai Tan, Peter Crozier
  • Journal:
    / Volume 27 / Issue S1 / August 2021
    Published online by Cambridge University Press:
    30 July 2021, pp. 2932-2934
    Print publication:
    August 2021
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  • In-situ TEM Study of Oxygen Surface Exchange on Ceria, Gd-doped Ceria and Pr-doped Ceria

  • Mai Tan, Peter Crozier, Joshua Vincent
  • Journal:
    / Volume 27 / Issue S1 / August 2021
    Published online by Cambridge University Press:
    30 July 2021, pp. 2244-2245
    Print publication:
    August 2021
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  • Study of sodium metal plasmon using electron energy loss spectroscopy

  • Shize Yang, Peter Crozier
  • Journal:
    / Volume 27 / Issue S1 / August 2021
    Published online by Cambridge University Press:
    30 July 2021, pp. 624-625
    Print publication:
    August 2021
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  • Describing Atomic-Level Fluxional Behavior in Nanoparticles

  • Ramon Manzorro, Joshua Vincent, David Matteson, Yuchen Xu, Peter Crozier
  • Journal:
    / Volume 27 / Issue S1 / August 2021
    Published online by Cambridge University Press:
    30 July 2021, pp. 1306-1307
    Print publication:
    August 2021
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Page 1 of 7