De Vylder Jonas, Rooms Filip, Dhondt Stijn, Inze Dirk, Philips Wilfried
Annu Int Conf IEEE Eng Med Biol Soc. 2013;2013:5433-6. doi: 10.1109/EMBC.2013.6610778.
Cell wall networks are a common subject of research in biology, which are important for plant growth analysis, organ studies, etc. In order to automate the detection of individual cells in such cell wall networks, we propose a new segmentation algorithm. The proposed method is a network tracing algorithm, exploiting the prior knowledge of the network structure. The method is applicable on multiple microscopy modalities such as fluorescence, but also for images captured using non invasive microscopes such as differential interference contrast (DIC) microscopes.
细胞壁网络是生物学研究的常见主题,对植物生长分析、器官研究等很重要。为了自动检测此类细胞壁网络中的单个细胞,我们提出了一种新的分割算法。所提出的方法是一种网络追踪算法,利用了网络结构的先验知识。该方法适用于多种显微镜模式,如荧光模式,也适用于使用非侵入式显微镜(如微分干涉对比(DIC)显微镜)拍摄的图像。