Imagining the future of bioimage analysis
Imagining the future of bioimage analysis
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DOI：
10.1038/nbt.3722
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发表时间：
2016-12-01
影响因子：
46.9
通讯作者：
Olivo-Marin, Jean-Christophe
中科院分区：
文献类型：
--
作者：
Meijering, Erik;Carpenter, Anne E.;Olivo-Marin, Jean-Christophe
现代生物学研究越来越依赖于图像数据作为解开生命的细胞和分子机制的主要信息来源。最先进的显微镜产生的数据的数量和复杂性排除了视觉或手动分析，需要先进的计算方法来充分探索丰富的信息。除了使生物图像分析更有效，客观和可重现外，计算机的使用还提高了分析的准确性和灵敏度，并有助于揭示人眼可能无法察觉的细微之处。为此，已经开发了许多方法和软件工具，但在生物学家盲目信任自动化测量之前，还有很长的路要走。在这里，我们总结了生物图像分析技术的现状，并提供了一个可能的未来发展的前景。
Modern biological research increasingly relies on image data as a primary source of information in unraveling the cellular and molecular mechanisms of life. The quantity and complexity of the data generated by state-of-the-art microscopes preclude visual or manual analysis and require advanced computational methods to fully explore the wealth of information. In addition to making bioimage analysis more efficient, objective, and reproducible, the use of computers improves the accuracy and sensitivity of the analyses and helps to reveal subtleties that may be unnoticeable to the human eye. Many methods and software tools have already been developed to this end, but there is still a long way to go before biologists can blindly trust automated measurements. Here, we summarize the current state of the art in bioimage analysis and provide a perspective on likely future developments.