Nelson Carl J, Duckney Patrick, Hawkins Timothy J, Deeks Michael J, Laissue P Philippe, Hussey Patrick J, Obara Boguslaw
School of Engineering and Computing Sciences, Durham University, Durham DH13LE, UK.
School of Biological and Biomedical Sciences, Durham University, Durham DH13LE, UK.
Funct Plant Biol. 2015 May;42(5):471-485. doi: 10.1071/FP14047.
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.
从荧光标记蛋白质的信号，到细胞骨架结构、细胞核染色以及诸如根毛等细胞延伸部分。在这里，我们探讨斑点与斑点之间的共定位问题（蛋白质-蛋白质共定位）以及斑点与曲线之间的共定位问题（细胞器-细胞骨架共定位）。本文展示了一种基于像素的共定位方法的清晰定量替代方法，并且使用基于对象的方法，不仅可以量化共定位水平，还可以量化对象之间的距离。本报告包括计算算法、生物学实验以及为那些希望增加对生物图像进行基于计算和定量分析使用的人的指导。
