@inproceedings{b43e67e7592848a2972b446136c56538,
title = "Automatic directional analysis of cell microscopy images",
abstract = "Nuclei and actin filaments are important components inside eukaryotic cell, and their shapes and directions can be affected by the geometry and stiffness of culturing substrate. In this paper, methods to detect orientation of actin filament and nucleus automatically in microscopy images are proposed. In actin filament image, ROI region is obtained using morphological operator and gradient. Derivative-based method is employed to measure the direction of actin filaments in each subarea. In nucleus images, level set with intensity adjustment is applied to segment nuclei. The nuclei are further approximated using ellipse fitting. The direction and axis ratio of nuclei are measured based on the fitted ellipses. The statistical results show that the alignment orientations of nuclei and actin filaments both exhibit biphasic distributions.",
keywords = "actin filaments, alignment orientation, aspect ratio, directional analysis, nuclei",
author = "Yue Zhou and Wanjun Zhang and Huiqi Li and Baohua Ji",
note = "Publisher Copyright: {\textcopyright} 2017 IEEE.; 12th IEEE Conference on Industrial Electronics and Applications, ICIEA 2017 ; Conference date: 18-06-2017 Through 20-06-2017",
year = "2017",
month = jul,
day = "2",
doi = "10.1109/ICIEA.2017.8282816",
language = "English",
series = "Proceedings of the 2017 12th IEEE Conference on Industrial Electronics and Applications, ICIEA 2017",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "70--74",
booktitle = "Proceedings of the 2017 12th IEEE Conference on Industrial Electronics and Applications, ICIEA 2017",
address = "United States",
}