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Three-dimensional volume imaging with electron microscopy toward connectome.

Nobuhiko Ohno1, Mitsuhiko Katoh2, Yurika Saitoh2

  • 1Department of Anatomy and Molecular Histology, Interdisciplinary Graduate School of Medicine and Engineering, University of Yamanashi, 1110 Shimokato, Chuo city, Yamanashi 409-3898, Japan nohno@yamanashi.ac.jp.

Microscopy (Oxford, England)
|January 1, 2015
PubMed
Summary

Advanced scanning electron microscopy (SEM) enables detailed reconstruction of the brain's neuronal map, or connectome. Further automation is needed to analyze these large datasets for understanding brain function.

Keywords:
connectomeneuronscanning electron microscopyserial sectioningsynapsethree-dimensional reconstruction

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Area of Science:

  • Neuroscience
  • Microscopy
  • Computational Biology

Background:

  • Ultrastructural analysis using electron microscopy is crucial for understanding nervous system physiology and pathology.
  • Reconstructing the neuronal connection map (connectome) offers key insights into brain functions.

Purpose of the Study:

  • To highlight advancements in imaging methodologies for connectome reconstruction.
  • To discuss the advantages and disadvantages of scanning electron microscopy (SEM) for ultrastructural analysis.
  • To identify challenges and future directions in analyzing large-scale neuroanatomical datasets.

Main Methods:

  • Utilizing serial ultrastructural observation with scanning electron microscopy (SEM).
  • Employing advanced tissue preparation methods for enhanced heavy metal deposition.
  • Comparing SEM with conventional serial sectioning transmission electron microscopy.

Main Results:

  • SEM offers distinct advantages in resolution and imaging speed for ultrastructural analysis.
  • Tissue preparation methods improve heavy metal deposition for efficient SEM imaging.
  • Selection of imaging methods depends on target tissue size, resolution needs, and re-observation requirements.

Conclusions:

  • Advanced SEM imaging is a powerful tool for connectome reconstruction.
  • Automation in segmentation and 3D reconstruction is critical for analyzing large brain datasets.
  • Future improvements in SEM data acquisition and analysis are needed to understand the connectome's role in cognition.