Information Technologies for 3D Reconstruction of Neuronal Circuits Based on Volumetric Electron Microscopic Images

DOI Web Site
  • Urakubo Hidetoshi
    自然科学研究機構　生理学研究所・大脳神経回路論研究部門
  • Kubota Yoshiyuki
    自然科学研究機構　生理学研究所・大脳神経回路論研究部門

Bibliographic Information

Other Title
  • 電子顕微鏡画像から神経構造の3次元再構築を行うための情報技術
  • デンシ ケンビキョウ ガゾウ カラ シンケイ コウゾウ ノ 3ジゲン サイコウチク オ オコナウ タメ ノ ジョウホウ ギジュツ

Search this article

Abstract

<p>Recent years have seen a rapid expansion in the field of electron microscopic-based (EM) connectomics, which targets 3D reconstruction of neuronal networks from an EM volumetric image. The EM connectomics has attracted attention, because this is only the way to obtain actual and overall neuronal connectivity. In the EM connectomics, image processing is an important challenging topic as well as image acquisition itself. In particular, the process called “image segmentation” has been accelerated owing to deep convolutional neural networks, enabling the study of large-scale connectomes, such as the whole fly brain. We would like to review such information technologies, as well as a unifying software, UNI-EM, and database technologies for the EM connectiomics.</p>

Journal

  • KENBIKYO

    KENBIKYO 55 (3), 120-124, 2020-12-30

    The Japanese Society of Microscopy

Related Projects

See more

Keywords

Details 詳細情報について

Report a problem

Back to top