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连接影像用户与影像分析——一项社区调查。

Bridging Imaging Users to Imaging Analysis - A community survey.

作者信息

Sivagurunathan Suganya, Marcotti Stefania, Nelson Carl J, Jones Martin L, Barry David J, Slater Thomas J A, Eliceiri Kevin W, Cimini Beth A

机构信息

Broad Institute of MIT and Harvard, Cambridge, MA, USA.

King's College London, London, UK.

出版信息

bioRxiv. 2023 Jun 5:2023.06.05.543701. doi: 10.1101/2023.06.05.543701.

Abstract

The "Bridging Imaging Users to Imaging Analysis" survey was conducted in 2022 by the Center for Open Bioimage Analysis (COBA), Bioimaging North America (BINA), and the Royal Microscopical Society Data Analysis in Imaging Section (RMS DAIM) to understand the needs of the imaging community. Through multi-choice and open-ended questions, the survey inquired about demographics, image analysis experiences, future needs, and suggestions on the role of tool developers and users. Participants of the survey were from diverse roles and domains of the life and physical sciences. To our knowledge, this is the first attempt to survey cross-community to bridge knowledge gaps between physical and life sciences imaging. Survey results indicate that respondents' overarching needs are documentation, detailed tutorials on the usage of image analysis tools, user-friendly intuitive software, and better solutions for segmentation, ideally in a format tailored to their specific use cases. The tool creators suggested the users familiarize themselves with the fundamentals of image analysis, provide constant feedback, and report the issues faced during image analysis while the users would like more documentation and an emphasis on tool friendliness. Regardless of the computational experience, there is a strong preference for 'written tutorials' to acquire knowledge on image analysis. We also observed that the interest in having 'office hours' to get an expert opinion on their image analysis methods has increased over the years. In addition, the community suggests the need for a common repository for the available image analysis tools and their applications. The opinions and suggestions of the community, released here in full, will help the image analysis tool creation and education communities to design and deliver the resources accordingly.

摘要

“连接成像用户与成像分析”调查由开放生物图像分析中心(COBA)、北美生物成像协会(BINA)以及皇家显微镜学会成像数据分析分会(RMS DAIM)于2022年开展,旨在了解成像领域的需求。通过多项选择题和开放式问题,该调查询问了人口统计学信息、图像分析经验、未来需求以及关于工具开发者和用户角色的建议。调查参与者来自生命科学和物理科学的不同角色和领域。据我们所知,这是首次跨领域调查,以弥合物理科学成像和生命科学成像之间的知识差距。调查结果表明,受访者的总体需求是文档、图像分析工具使用的详细教程、用户友好的直观软件以及更好的分割解决方案,理想情况下是以适合其特定用例的格式提供。工具创建者建议用户熟悉图像分析的基础知识,持续提供反馈,并报告图像分析过程中遇到的问题,而用户则希望有更多文档,并强调工具的友好性。无论计算经验如何,人们都强烈倾向于通过“书面教程”来获取图像分析知识。我们还观察到,多年来,对通过“办公时间”获得关于其图像分析方法的专家意见的兴趣有所增加。此外,该领域建议需要一个通用存储库来存放可用的图像分析工具及其应用。在此完整发布的该领域的意见和建议,将有助于图像分析工具创建和教育领域相应地设计和提供资源。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f733/10274673/24dbb6738e9d/nihpp-2023.06.05.543701v1-f0001.jpg

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