细胞骨架
数字图像分析
计算机科学
可视化
软件
数字图像
图像(数学)
图像处理
图像分析
免疫染色
数字图像处理
人工智能
计算机视觉
生物系统
细胞
生物
免疫组织化学
遗传学
程序设计语言
免疫学
出处
期刊:Plant Morphology
[The Japanese Society of Plant Morphology]
日期:2017-01-01
卷期号:29 (1): 15-21
被引量:61
标识
DOI:10.5685/plmorphol.29.15
摘要
Visualization of cytoskeletal organizations is a fundamental research method for understanding plant cell activities. Conventionally, immunostaining methods have been used to visualize cytoskeletons, but some technical difficulties make it hard to obtain a large number of reliable microscopic images. The introduction of fluorescent protein tagging technology and the development of high-throughput method for microscopic image acquisition have made it easier and quicker to obtain many reliable microscopic digital images of cytoskeletons. Based on these technical improvements, a method for quantitative evaluation of cytoskeletal organizations by image analysis has been developed. This method has become an indispensable research approach in state-of-the-art plant cell biology. In this minireview, I outline a practical method to measure image features to quantitatively evaluate the orientation, parallelness, bundling, and density of cytoskeletons using the ImageJ image analysis software.
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