Blobs and curves: object-based colocalisation for plant cells.
Blobs and curves: object-based colocalisation for plant cells.
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DOI：
10.1071/fp14047
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发表时间：
2015-05
期刊：
影响因子：
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通讯作者：
Carl J. Nelson;Patrick J Duckney;Timothy J. Hawkins;M. Deeks;P. Laissue;P. Hussey;B. Obara
中科院分区：
文献类型：
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作者：
Carl J. Nelson;Patrick J Duckney;Timothy J. Hawkins;M. Deeks;P. Laissue;P. Hussey;B. Obara
在植物生物成像中，斑点和曲线随处可见：从荧光标记的蛋白质信号，到细胞骨架结构、细胞核染色和细胞延伸，如根毛。在这里，我们研究斑点与斑点(蛋白质-蛋白质共定位)和带有曲线的斑点(细胞器-细胞骨架共同定位)的协同定位问题。这篇文章展示了一种清晰的基于像素的共定位方法的定量替代方法，并且使用基于对象的方法，不仅可以量化共定位的水平，而且可以量化对象之间的距离。这份报告包括计算算法、生物实验和为那些希望增加对生物图像的基于计算和量化分析的使用的人提供的指导。
Blobs and curves occur everywhere in plant bioimaging: from signals of fluorescence-labelled proteins, through cytoskeletal structures, nuclei staining and cell extensions such as root hairs. Here we look at the problem of colocalisation of blobs with blobs (protein-protein colocalisation) and blobs with curves (organelle-cytoskeleton colocalisation). This article demonstrates a clear quantitative alternative to pixel-based colocalisation methods and, using object-based methods, can quantify not only the level of colocalisation but also the distance between objects. Included in this report are computational algorithms, biological experiments and guidance for those looking to increase their use of computationally-based and quantified analysis of bioimages.