Scanning electron microscopy articles within Nature Methods

Featured

  • Method to Watch |

    Advances will enable proteome-scale structure determination in cells.

    • Rita Strack
  • Research Briefing |

    To capture expansive, seamless fields of view from frozen hydrated specimens by cryo-electron tomography, we developed methods for the collection and processing of montage data. This approach enables rapid acquisition of contiguous regions of specimens using a montaged tilt series collection scheme.

  • Comment |

    Volume electron microscopy (vEM) is a group of techniques that reveal the 3D ultrastructure of cells and tissues through continuous depths of at least 1 micrometer. A burgeoning grassroots community effort is fast building the profile and revealing the impact of vEM technology in the life sciences and clinical research.

    • Lucy M. Collinson
    • , Carles Bosch
    •  & Paul Verkade
  • Research Highlight |

    Researchers have registered a gene expression atlas to a whole-body EM volume of a marine bristle worm.

    • Rita Strack
  • Research Highlight |

    Combining cryogenic super-resolution microscopy and focused ion beam scanning electron microscopy allows nanoscale views of protein architecture in the context of cellular ultrastructure in whole cells.

    • Rita Strack
  • Research Highlight |

    Electron-energy-loss spectroscopy with a scanning transmission electron microscope enables spatially resolved imaging of isotope-labeled molecules.

    • Christian Schnell
  • Research Highlight |

    FluoEM aligns axon reconstructions from fluorescence and 3D electron microscopy on the same tissue to allow multicolor labeling of distant inputs.

    • Ada Yee
  • Brief Communication |

    webKnossos is a browser-based tracing and annotation tool for 3D electron microscopy data sets that is optimized for seamless data viewing. The tool’s flight-mode view facilitates fast neurite tracing because of its egocentric viewpoint.

    • Kevin M Boergens
    • , Manuel Berning
    •  & Moritz Helmstaedter
  • Article |

    SyConn is a computational framework that infers the synaptic wiring of neurons in volume electron microscopy data sets with machine learning. It has been applied to zebra finch, mouse and zebrafish neuronal tissue samples.

    • Sven Dorkenwald
    • , Philipp J Schubert
    •  & Joergen Kornfeld
  • Review Article |

    Applications of focused ion beams for biological ultrastructure and chemical imaging, with a particular emphasis on the coupling of this technology with scanning electron microscopy, are discussed in this Review.

    • Kedar Narayan
    •  & Sriram Subramaniam
  • Research Highlights |

    Developments in automated sample preparation, electron microscopy and data analysis enable in-depth characterization of a chunk of mouse neocortex.

    • Nina Vogt
  • Research Highlights |

    Synapse morphology and molecular composition can be analyzed in detail with conjugate light-electron array tomography, which combines immunofluorescence imaging with electron microscopy in a precisely aligned fashion.

    • Nina Vogt
  • Brief Communication |

    The fluorescent proteins mEos4a and mEos4b maintain their fluorescence and photoconversion after fixation with osmium. This property enables applications such as correlative super-resolution and electron microscopy.

    • Maria G Paez-Segala
    • , Mei G Sun
    •  & Loren L Looger
  • Technology Feature |

    Researchers scale up how to crowdsource the mapping of neural circuits. These projects entice crowds by tapping into their spirit of play.

    • Vivien Marx
  • Research Highlights |

    A polymer 'nano-suit' allows living organisms to survive the harsh conditions of scanning electron microscopy.

    • Allison Doerr
  • Perspective |

    Neuronal networks are high-dimensional graphs that are packed into three-dimensional nervous tissue at extremely high density. Comprehensively mapping these networks is therefore a major challenge. Although recent developments in volume electron microscopy imaging have made data acquisition feasible for circuits comprising a few hundreds to a few thousands of neurons, data analysis is massively lagging behind. The aim of this Perspective is to summarize and quantify the challenges for data analysis in cellular-resolution connectomics and describe current solutions involving online crowd-sourcing and machine-learning approaches.

    • Moritz Helmstaedter
  • Resource |

    An improved Brainbow toolbox for expression in the mouse is presented in this Resource. The collection includes transgenic lines, plasmids and viral vectors with improved performance and added capabilities relative to the original Brainbow constructs.

    • Dawen Cai
    • , Kimberly B Cohen
    •  & Joshua R Sanes