Suppr超能文献

使用 Scipion 进行 cryo-EM 设施中的流式图像处理。

Using Scipion for stream image processing at Cryo-EM facilities.

机构信息

Department of Anatomy and Cell Biology, McGill University, Montreal, Canada.

Department of Biochemistry and Biophysics, Science for Life Laboratory, Stockholm University, Stockholm, Sweden.

出版信息

J Struct Biol. 2018 Dec;204(3):457-463. doi: 10.1016/j.jsb.2018.10.001. Epub 2018 Oct 5.

Abstract

Three dimensional electron microscopy is becoming a very data-intensive field in which vast amounts of experimental images are acquired at high speed. To manage such large-scale projects, we had previously developed a modular workflow system called Scipion (de la Rosa-Trevín et al., 2016). We present here a major extension of Scipion that allows processing of EM images while the data is being acquired. This approach helps to detect problems at early stages, saves computing time and provides users with a detailed evaluation of the data quality before the acquisition is finished. At present, Scipion has been deployed and is in production mode in seven Cryo-EM facilities throughout the world.

摘要

三维电子显微镜技术正在成为一个数据密集型领域,大量的实验图像以高速获取。为了管理如此大规模的项目,我们之前开发了一个名为 Scipion 的模块化工作流程系统(de la Rosa-Trevín 等人,2016)。我们在这里展示了 Scipion 的一个主要扩展,它允许在获取数据的同时处理 EM 图像。这种方法有助于在早期发现问题,节省计算时间,并在采集完成之前为用户提供数据质量的详细评估。目前,Scipion 已经在全球七个 cryo-EM 设施中部署并投入生产。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/eeb0/6303188/107148c0dff5/gr1.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验