自动测量DNA断裂数的图像处理方法

IF 0.4 Q4 ENGINEERING, MULTIDISCIPLINARY

Journal of Advanced Simulation in Science and Engineering Pub Date : 2021-01-01 DOI:10.15748/jasse.8.173

S. Saito, Hiroaki Nakamura, T. Kenmotsu, Y. Oya, Y. Hatano, Y. Tamura, Susumu Fujiwara, H. Ohtani

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引用次数: 0

摘要

．双链断裂的数量可以通过DNA平均长度的变化来判断。采用荧光显微镜单分子观察法测定平均DNA长度。显微镜图像中DNA长度的测量是由经验丰富的操作人员手工完成的，并且在许多实验中耗时。本文提出了一种利用OpenCV文库测量荧光显微镜图像中DNA长度的图像处理方法。提出了一种利用深度学习实现测量自动化的方法。

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Image processing method for automatic measurement of number of DNA breaks

. 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 experi-ments. 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.

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Journal of Advanced Simulation in Science and Engineering ENGINEERING, MULTIDISCIPLINARY-

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