Reproducible image handling and analysis.

Reproducible image handling and analysis.
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DOI:
10.15252/embj.2020105889
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发表时间:
2021-02-01
期刊:
The EMBO journal
影响因子:
--
通讯作者:
Nørrelykke SF
Nørrelykke SF
中科院分区:
其他
文献类型:
--
作者:
Miura K;Nørrelykke SF

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图像数据在生命科学研究中是通用的。而正确的处理则不然。研究论文中相当大比例的图像数据显示出处理不当的迹象,这破坏了它们的解释。我们认为需要对图像处理和分析应用进行精确的描述来解决这个问题。可重复图像分析报告的新规范将减少错误处理,因为它将提醒合著者、审稿人和期刊注意异常的图像数据处理,或者,如果发表,它将向读者记录它。为了促进这一规范,我们讨论了这种方法的有效性,并给出了一些循序渐进的说明,以发布可重复的图像数据处理和分析工作流程。主要专家描述了如何系统地描述处理和分析应用于显微镜数据是至关重要的正确解释发表的图像数据,并有助于支持再现性和数据完整性。
Image data are universal in life sciences research. Their proper handling is not. A significant proportion of image data in research papers show signs of mishandling that undermine their interpretation. We propose that a precise description of the image processing and analysis applied is required to address this problem. A new norm for reporting reproducible image analyses will diminish mishandling, as it will alert co‐authors, referees, and journals to aberrant image data processing or, if published nonetheless, it will document it to the reader. To promote this norm, we discuss the effectiveness of this approach and give some step‐by‐step instructions for publishing reproducible image data processing and analysis workflows. Leading experts describe how systematic description of processing and analysis applied to microscopy data is crucial for the proper interpretation of published image data and helps support reproducibility and data integrity.
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