High precision tracking analysis of cell position and motion fields using 3D U-net network models.

Journal: Computers in biology and medicine
PMID:

Abstract

Cells are the basic units of biological organization, and the quantitative analysis of cellular states is an important topic in medicine and is valuable in revealing the complex mechanisms of microscopic world organisms. In order to better understand cell cycle changes as well as drug actions, we need to track cell migration and division. In this paper, we propose a novel engineering model for tracking cells using cell position and motion fields (CPMF). The training sample does not need to be manually annotated, and we modify and edit it against the ground truth using auxiliary tools. The core idea of the project is to combine detection and correlation, and the cell sequence samples are trained by a U-Net network model composed of 3D CNNs, which can track the migration, division, and entry and exit of cells in the field of view with high accuracy in all directions. The average detection accuracy of the cell coordinates is 98.38% and the average tracking accuracy is 98.70%.

Authors

  • Li-Xin Yuan
    International Research Centre for Nano Handling and Manufacturing of China, ChangchunUniversity of Science and Technology, Changchun, 130022, China; Ministry of Education Key Laboratory for Cross-Scale Micro and Nano Manufacturing, Changchun University of Science and Technology, Changchun, 130022, China.
  • Hong-Mei Xu
    International Research Centre for Nano Handling and Manufacturing of China, ChangchunUniversity of Science and Technology, Changchun, 130022, China; Ministry of Education Key Laboratory for Cross-Scale Micro and Nano Manufacturing, Changchun University of Science and Technology, Changchun, 130022, China. Electronic address: holly_89301@cust.edu.cn.
  • Zi-Yu Zhang
    International Research Centre for Nano Handling and Manufacturing of China, ChangchunUniversity of Science and Technology, Changchun, 130022, China; Ministry of Education Key Laboratory for Cross-Scale Micro and Nano Manufacturing, Changchun University of Science and Technology, Changchun, 130022, China.
  • Xu-Wei Liu
    International Research Centre for Nano Handling and Manufacturing of China, ChangchunUniversity of Science and Technology, Changchun, 130022, China; Ministry of Education Key Laboratory for Cross-Scale Micro and Nano Manufacturing, Changchun University of Science and Technology, Changchun, 130022, China.
  • Jing-Xin Li
    International Research Centre for Nano Handling and Manufacturing of China, ChangchunUniversity of Science and Technology, Changchun, 130022, China; Ministry of Education Key Laboratory for Cross-Scale Micro and Nano Manufacturing, Changchun University of Science and Technology, Changchun, 130022, China.
  • Jia-He Wang
    International Research Centre for Nano Handling and Manufacturing of China, ChangchunUniversity of Science and Technology, Changchun, 130022, China; Ministry of Education Key Laboratory for Cross-Scale Micro and Nano Manufacturing, Changchun University of Science and Technology, Changchun, 130022, China.
  • Hao-Bo Cui
    International Research Centre for Nano Handling and Manufacturing of China, ChangchunUniversity of Science and Technology, Changchun, 130022, China; Ministry of Education Key Laboratory for Cross-Scale Micro and Nano Manufacturing, Changchun University of Science and Technology, Changchun, 130022, China.
  • Hao-Ran Huang
    International Research Centre for Nano Handling and Manufacturing of China, ChangchunUniversity of Science and Technology, Changchun, 130022, China; Ministry of Education Key Laboratory for Cross-Scale Micro and Nano Manufacturing, Changchun University of Science and Technology, Changchun, 130022, China.
  • Yue Zheng
    The Third Central Clinical College of Tianjin Medical University, Tianjin 300170, China; Tianjin Key Laboratory of Artificial Cell; Artificial Cell Engineering Technology Research Center of Public Health Ministry, Tianjin, China; Tianjin Institute of Hepatobiliary Disease, Tianjin, China.
  • Da Ma
    School of Engineering Science, Simon Fraser University, Burnaby, Canada.