Segmentation of mitochondria in intracellular space

Nhan Nguyen-Thanh, T. Pham, K. Ichikawa
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引用次数: 4

Abstract

Information of cellular organelle location and morphology is essential for cancer simulation. In order to obtain such information, the segmentation of the organelles from electronic microscopy intracellular image is crucial. In this paper, we focus on the segmentation of mitochondria organelle which is one of the most important organelles tightly related to the form of cancer. A simple three-stage strategy for mitochondrial segmentation based on exclusive and morphology properties and Gabor filter is proposed. Experimental results on focused ion beam (FIB) and scanning electron microscope (SEM) images have shown the effectiveness of proposed method.
细胞内线粒体的分割
细胞器的位置和形态信息是肿瘤模拟所必需的。为了获得这些信息,细胞器的电子显微镜细胞内图像的分割是至关重要的。线粒体细胞器是与癌症形成密切相关的最重要的细胞器之一,本文对线粒体细胞器的分割进行了研究。提出了一种基于排他性和形态学特性以及Gabor滤波器的简单的三阶段线粒体分割策略。聚焦离子束(FIB)和扫描电镜(SEM)图像的实验结果表明了该方法的有效性。
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