将成像用户与成像分析联系起来 - - 一项社区调查.
Suganya Sivagurunathan1, Stefania Marcotti2, Carl J Nelson3
1Broad Institute of MIT and Harvard, Cambridge, MA, USA.
bioRxiv : the preprint server for biology
|June 19, 2023
概括
2022年的一项调查确定了生物图像分析的关键需求,强调了对更好的文档,教程和用户友好的软件的需求. 这些发现旨在改善成像工具开发和跨科学学科的用户教育.
科学领域:
- 生命和物理科学 图像分析.
背景情况:
- 开放生物图像分析中心 (COBA),北美生物图像 (BINA) 和皇家微观学会成像部分数据分析 (RMS DAIM) 进行了2022年调查.
- 这项调查旨在弥合物理和生命科学成像社区之间的知识差距.
结论:
- 结果将指导开发更有效的图像分析工具和教育资源.
- 解决用户对文档,教程和用户友好性的需求对成像社区至关重要.
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