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Volume 15 Issue 10, October 2018

Analyzing neural activity in single trials

Artistic representation of the dynamic nature of neuronal network activity.

See Pandarinath et al.

Image: Bona Kim. Cover design: Erin Dewalt.

Editorial

  • As microscopy methods for studying biology in living samples advance and demand for them grows, assessment of light damage caused by imaging becomes increasingly important.

    Editorial

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This Month

  • Speeding up spot-to-plunge in cryo-EM and how to keep a lab talking.

    • Vivien Marx
    This Month
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Correspondence

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Research Highlights

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Technology Feature

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News & Views

  • A new article by Pandarinath et al. describes an artificial neural network model that captures some key aspects of the activity of populations of neurons in the primary motor cortex.

    • Aaron P. Batista
    • James J. DiCarlo
    News & Views
  • A new detector built for X-ray free-electron lasers provides unprecedented speed and accuracy for macromolecular crystallography at synchrotron radiation facilities—and finally allows crystallographers to harness the full capabilities of those sources.

    • Henry N. Chapman
    News & Views
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Brief Communications

  • A computational and analytical framework enables multicolor 3D particle reconstruction of protein complexes from 2D images. The authors demonstrate the power of the approach by reconstructing native proteins within the human centriole.

    • Christian Sieben
    • Niccolò Banterle
    • Suliana Manley
    Brief Communication
  • An all-to-all registration approach allows for improved, high-resolution, template-free single-particle reconstruction from localization microscopy data under realistic experimental conditions such as low labeling density.

    • Hamidreza Heydarian
    • Florian Schueder
    • Bernd Rieger
    Brief Communication
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Articles

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Amendments & Corrections

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