Accurate Automatic Detection of Densely Distributed Cell Nuclei in 3D Space

作者：Toyoshima Yu; Tokunaga Terumasa; Hirose Osamu; Kanamori Manami; Teramoto Takayuki; Jang Moon Sun; Kuge Sayuri; Ishihara Takeshi; Yoshida Ryo; Iino Yuichi

来源：PLoS Computational Biology, 2016, 12(6): e1004970.

DOI：10.1371/journal.pcbi.1004970

To measure the activity of neurons using whole-brain activity imaging, precise detection of each neuron or its nucleus is required. In the head region of the nematode C. elegans, the neuronal cell bodies are distributed densely in three-dimensional (3D) space. However, no existing computational methods of image analysis can separate them with sufficient accuracy. Here we propose a highly accurate segmentation method based on the curvatures of the iso-intensity surfaces. To obtain accurate positions of nuclei, we also developed a new procedure for least squares fitting with a Gaussian mixture model. Combining these methods enables accurate detection of densely distributed cell nuclei in a 3D space. The proposed method was implemented as a graphical user interface program that allows visualization and correction of the results of automatic detection. Additionally, the proposed method was applied to time-lapse 3D calcium imaging data, and most of the nuclei in the images were successfully tracked and measured.

• 出版日期2016-6