Quantification and its Applications in Fluorescent Microscopy Imaging
Quantification and its Applications in Fluorescent Microscopy Imaging
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DOI：
10.1111/j.1600-0854.2009.00938.x
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发表时间：
2009-08-01
期刊：
影响因子：
4.5
通讯作者：
Hamilton, Nicholas
中科院分区：
文献类型：
--
作者：
Hamilton, Nicholas
荧光显微镜成像技术近年来发展迅速。高通量二维荧光成像平台目前在蛋白质组的广泛应用中得到了广泛的应用。活细胞的多荧光团三维成像被用于提供详细的定位和亚细胞结构信息。此外，2D和3D视频显微镜为蛋白质定位和运输的动力学提供了重要的见解。与这些发展同时，重要的研究已经进入到开发量化和从成像数据中提取意义的新方法。在这里，我们概述了量化方法的文献，并给出了切入点，如分割、跟踪、自动分类和数据可视化。特别注意的是区分和应用具体的量化措施，如在一个单元中的对象的数量，和抽象的措施，如纹理。
Fluorescent microscope imaging technologies have developed at a rapid pace in recent years. High-throughput 2D fluorescent imaging platforms are now in wide use and are being applied on a proteome wide scale. Multiple fluorophore 3D imaging of live cells is being used to give detailed localization and subcellular structure information. Further, 2D and 3D video microscopy are giving important insights into the dynamics of protein localization and transport. In parallel with these developments, significant research has gone into developing new methodologies for quantifying and extracting meaning from the imaging data. Here we outline and give entry points to the literature on approaches to quantification such as segmentation, tracking, automated classification and data visualization. Particular attention is paid to the distinction between and application of concrete quantification measures such as number of objects in a cell, and abstract measures such as texture.