内质网
分割
代表(政治)
图形
计算机科学
GSM演进的增强数据速率
生物系统
生物物理学
人工智能
骨架(计算机编程)
膜
化学
生物
细胞生物学
理论计算机科学
解剖
生物化学
政治
政治学
法学
作者
Mark D. Fricker,Emily Breeze,Charlotte Pain,Verena Kriechbaumer,Carlos Aguilar,José Manuel Ugalde,Andreas Meyer
出处
期刊:Methods in molecular biology
日期:2024-01-01
卷期号:: 49-75
标识
DOI:10.1007/978-1-0716-3710-4_5
摘要
The plant endoplasmic reticulum forms a network of tubules connected by three-way junctions or sheet-like cisternae. Although the network is three-dimensional, in many plant cells, it is constrained to thin volume sandwiched between the vacuole and plasma membrane, effectively restricting it to a 2-D planar network. The structure of the network, and the morphology of the tubules and cisternae can be automatically extracted following intensity-independent edge-enhancement and various segmentation techniques to give an initial pixel-based skeleton, which is then converted to a graph representation. ER dynamics can be determined using optical flow techniques from computer vision or persistency analysis. Collectively, this approach yields a wealth of quantitative metrics for ER structure and can be used to describe the effects of pharmacological treatments or genetic manipulation. The software is publicly available.
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