Automatic localization and identification of mitochondria in cellular electron cryo-tomography using faster-RCNN.

Journal: BMC bioinformatics
Published Date: Mar 29, 2019

Abstract

BACKGROUND: Cryo-electron tomography (cryo-ET) enables the 3D visualization of cellular organization in near-native state which plays important roles in the field of structural cell biology. However, due to the low signal-to-noise ratio (SNR), large volume and high content complexity within cells, it remains difficult and time-consuming to localize and identify different components in cellular cryo-ET. To automatically localize and recognize in situ cellular structures of interest captured by cryo-ET, we proposed a simple yet effective automatic image analysis approach based on Faster-RCNN.

Authors

  • Ran Li
    Department of Automation, Tsinghua University, Beijing, China.
  • Xiangrui Zeng
    Computational Biology Department, School of Computer Science, Carnegie Mellon University, Pittsburgh 15213, USA.
  • Stephanie E Sigmund
    Department of Cellular, Molecular and Biophysical Studies, Columbia University Medical Center, New York, NY, USA.
  • Ruogu Lin
    Computational Biology Department, Carnegie Mellon University, Pittsburgh, PA, USA.
  • Bo Zhou
    Department of Neurology, The Third People's Hospital of Yibin, Yibin, China.
  • Chang Liu
    Key Lab of Cell Differentiation and Apoptosis of Ministry of Education, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
  • Kaiwen Wang
    Department of Electrical and Computer Engineering, Carnegie Mellon University, Pittsburgh, PA, USA.
  • Rui Jiang
    Department of Urology, The Affiliated Hospital of Southwest Medical University, Luzhou, China.
  • Zachary Freyberg
    Departments of Psychiatry and Cell Biology, University of Pittsburgh, Pittsburgh, PA, USA. freybergzz@upmc.edu.
  • Hairong Lv
    Department of Automation, Tsinghua University, Beijing, China; MOE Key Laboratory of Bioinformatics, Bioinformatics Division and Center for Synthetic and Systems Biology, TNLIST, China. Electronic address: lvhairong@tsinghua.edu.cn.
  • Min Xu
    Department of Gastroenterology, Shanghai First People's Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, People's Republic of China.

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