Visualization of image data from cells to organisms.

Visualization of image data from cells to organisms.
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DOI:
10.1038/nmeth.1431
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发表时间:
2010-03
期刊:
影响因子:
48
通讯作者:
Heriche, Jean-Karim
Heriche, Jean-Karim
中科院分区:
生物学1区
文献类型:
--
作者:
Walter, Thomas;Shattuck, David W.;Baldock, Richard;Bastin, Mark E.;Carpenter, Anne E.;Duce, Suzanne;Ellenberg, Jan;Fraser, Adam;Hamilton, Nicholas;Pieper, Steve;Ragan, Mark A.;Schneider, Jurgen E.;Tomancak, Pavel;Heriche, Jean-Karim

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成像技术和高通量技术的进步为科学家提供了前所未有的可能性,使细胞、器官和生物体的内部结构可视化,并大规模收集表征基因和蛋白质的系统图像数据。为了充分利用这些日益复杂和庞大的图像数据资源,科学界必须提供查询,分析和交联这些资源的方法,以提供数据的直观可视化表示。本审查概述了现有的方法和工具,并强调了它们的一些局限性和挑战。
Advances in imaging techniques and high-throughput technologies are providing scientists with unprecedented possibilities to visualize internal structures of cells, organs and organisms and to collect systematic image data characterizing genes and proteins on a large scale. To make the best use of these increasingly complex and large image data resources, the scientific community must be provided with methods to query, analyze and crosslink these resources to give an intuitive visual representation of the data. This review gives an overview of existing methods and tools for this purpose and highlights some of their limitations and challenges.
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