生物图像目标分析的二十问
The Twenty Questions of bioimage object analysis.
机构信息
Imaging Platform, Broad Institute of MIT and Harvard, Cambridge, MA, USA.
Center for Quantitative Cell Imaging, University of Wisconsin-Madison and Morgridge Institute for Research, Madison, WI, USA.
出版信息
Nat Methods. 2023 Jul;20(7):976-978. doi: 10.1038/s41592-023-01919-7.
The language used by microscopists who wish to find and measure objects in an image often differs in critical ways from that used by computer scientists who create tools to help them do this, making communication hard across disciplines. This work proposes a set of standardized questions that can guide analyses and shows how it can improve the future of bioimage analysis as a whole by making image analysis workflows and tools more FAIR (findable, accessible, interoperable and reusable).
希望在图像中找到和测量目标的显微镜使用者所使用的语言，往往与帮助他们实现这一目标的计算机科学家所使用的语言在关键方面存在差异，从而使得跨学科交流变得困难。这项工作提出了一组标准化的问题，可以指导分析，并展示了通过使图像分析工作流程和工具更加 FAIR（可查找、可访问、可互操作和可重复使用），它如何整体上改善生物图像分析的未来。
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