Image processing method for automatic measurement of number of DNA breaks

Seiki Saito; Hiroaki Nakamura; Takahiro Kenmotsu; Yasuhisa Oya; Yuji Hatano; Yuichi Tamura; Susumu Fujiwara; Hiroaki Ohtani

doi:10.15748/jasse.8.173

Special Section on Recent Advances in Simulation in Science and Engineering

Image processing method for automatic measurement of number of DNA breaks

Seiki Saito, Hiroaki Nakamura, Takahiro Kenmotsu, Yasuhisa Oya, Yuji Hatano, Yuichi Tamura, Susumu Fujiwara, Hiroaki Ohtani

Author information

Seiki Saito
Department of Informatics and Electronics, Faculty of Engineering, Yamagata University
Hiroaki Nakamura
Fundamenal Physics Simulation Research Division, Department of Helical Plasma Research, National Institute for Fusion Science
Department of Electrical Engineering, Graduate School of Engineering, Nagoya University
Takahiro Kenmotsu
Faculty of Life and Medical Sciences, Doshisha University
Yasuhisa Oya
Center for Radioscience Education and Research, Faculty of Science , Shizuoka University
Yuji Hatano
Hydrogen Isotope Research Center, Organization for Promotion of Research, University of Toyama
Yuichi Tamura
Department of Intelligence and Informatics, Faculty of Intelligence and Informatics, Konan University
Susumu Fujiwara
Faculty of Materials Science and Engineering, Kyoto Institute of Technology
Hiroaki Ohtani
Fundamenal Physics Simulation Research Division, Department of Helical Plasma Research, National Institute for Fusion Science
Department of Fusion Science, The Graduate University for Advanced Studies, SOKENDAI

Keywords: Image processing, DNA, Double-strand breaks, Fluorescence microscope, Pix2pix

JOURNAL FREE ACCESS

2021 Volume 8 Issue 2 Pages 173-193

DOI https://doi.org/10.15748/jasse.8.173

Details

Abstract

The number of double-strand breaks can be evaluated from the change of average DNA length. The average DNA length is measured by the single-molecule observation method using fluorescence microscope. The measurement of DNA length in the microscope images is done manually by experienced operators and it is time consuming in many experiments. An image processing method using OpenCV library to measure length of DNA in fluorescence microscope images is developed in this paper. An automation of measurement using deep learning is also proposed.

Corresponding author

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