Effective automated pipeline for 3D reconstruction of synapses based on deep learning.

Journal: BMC bioinformatics
Published Date: Jul 13, 2018

Abstract

BACKGROUND: The locations and shapes of synapses are important in reconstructing connectomes and analyzing synaptic plasticity. However, current synapse detection and segmentation methods are still not adequate for accurately acquiring the synaptic connectivity, and they cannot effectively alleviate the burden of synapse validation.

Authors

  • Chi Xiao
  • Weifu Li
  • Hao Deng
    Faculty of Information Technology, Macau University of Science and Technology, Avenida Wai Long, Taipa, Macau, China.
  • Xi Chen
    Department of Critical care medicine, Shenzhen Hospital, Southern Medical University, Guangdong, Shenzhen, China.
  • Yang Yang
    Department of Gastrointestinal Surgery, The Third Hospital of Hebei Medical University, Shijiazhuang, China.
  • Qiwei Xie
  • Hua Han
    Department of Orthopaedic Surgery, the Second Hospital &Clinical Medical School, Lanzhou University, Lanzhou, Gansu Province, China.

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