• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

开发用于冷冻电镜的基本构建模块:emcore 和 emvis 软件库。

Development of basic building blocks for cryo-EM: the emcore and emvis software libraries.

机构信息

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

UNEAC Manzanillo, Cuba.

出版信息

Acta Crystallogr D Struct Biol. 2020 Apr 1;76(Pt 4):350-356. doi: 10.1107/S2059798320003769. Epub 2020 Mar 31.

DOI:10.1107/S2059798320003769
PMID:32254059
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7137102/
Abstract

Image-processing software has always been an integral part of structure determination by cryogenic electron microscopy (cryo-EM). Recent advances in hardware and software are recognized as one of the key factors in the so-called cryo-EM resolution revolution. Increasing computational power has opened many possibilities to consider more demanding algorithms, which in turn allow more complex biological problems to be tackled. Moreover, data processing has become more accessible to many experimental groups, with computations that used to last for many days at supercomputing facilities now being performed in hours on personal workstations. All of these advances, together with the rapid expansion of the community, continue to pose challenges and new demands on the software-development side. In this article, the development of emcore and emvis, two basic software libraries for image manipulation and data visualization in cryo-EM, is presented. The main goal is to provide basic functionality organized in modular components that other developers can reuse to implement new algorithms or build graphical applications. An additional aim is to showcase the importance of following established practices in software engineering, with the hope that this could be a first step towards a more standardized way of developing and distributing software in the field.

摘要

图像处理软件一直是低温电子显微镜(cryo-EM)结构测定的一个组成部分。硬件和软件的最新进展被认为是所谓的 cryo-EM 分辨率革命的关键因素之一。计算能力的提高为考虑更具挑战性的算法开辟了许多可能性,这反过来又允许解决更复杂的生物学问题。此外,数据处理对许多实验组来说变得更加容易,以前在超级计算设施上需要花费数天时间的计算现在可以在个人工作站上数小时内完成。所有这些进展,以及该领域社区的快速扩张,继续给软件开发方面带来挑战和新的需求。本文介绍了用于 cryo-EM 图像处理和数据可视化的两个基本软件库 emcore 和 emvis 的开发。主要目标是提供组织在模块化组件中的基本功能,其他开发人员可以重复使用这些组件来实现新算法或构建图形应用程序。另一个目标是展示在软件工程中遵循既定实践的重要性,希望这能成为在该领域以更标准化的方式开发和分发软件的第一步。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a437/7137102/d784afae20bc/d-76-00350-fig6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a437/7137102/e8c31add85af/d-76-00350-fig1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a437/7137102/3043b814757f/d-76-00350-fig2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a437/7137102/6c73ef5b6d0e/d-76-00350-fig3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a437/7137102/3f591145d7cb/d-76-00350-fig4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a437/7137102/bb39b213382a/d-76-00350-fig5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a437/7137102/d784afae20bc/d-76-00350-fig6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a437/7137102/e8c31add85af/d-76-00350-fig1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a437/7137102/3043b814757f/d-76-00350-fig2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a437/7137102/6c73ef5b6d0e/d-76-00350-fig3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a437/7137102/3f591145d7cb/d-76-00350-fig4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a437/7137102/bb39b213382a/d-76-00350-fig5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a437/7137102/d784afae20bc/d-76-00350-fig6.jpg

相似文献

1
Development of basic building blocks for cryo-EM: the emcore and emvis software libraries.开发用于冷冻电镜的基本构建模块:emcore 和 emvis 软件库。
Acta Crystallogr D Struct Biol. 2020 Apr 1;76(Pt 4):350-356. doi: 10.1107/S2059798320003769. Epub 2020 Mar 31.
2
Focus: The interface between data collection and data processing in cryo-EM.焦点:冷冻电镜中数据收集与数据处理之间的接口
J Struct Biol. 2017 May;198(2):124-133. doi: 10.1016/j.jsb.2017.03.007. Epub 2017 Mar 23.
3
[Progress in filters for denoising cryo-electron microscopy images].[用于冷冻电子显微镜图像去噪的滤波器研究进展]
Beijing Da Xue Xue Bao Yi Xue Ban. 2021 Mar 3;53(2):425-433. doi: 10.19723/j.issn.1671-167X.2021.02.033.
4
Recent developments in the CCP-EM software suite.CCP-EM 软件套件的最新进展。
Acta Crystallogr D Struct Biol. 2017 Jun 1;73(Pt 6):469-477. doi: 10.1107/S2059798317007859. Epub 2017 May 31.
5
cryoem-cloud-tools: A software platform to deploy and manage cryo-EM jobs in the cloud.cryoem-cloud-tools:一个用于在云中部署和管理 cryo-EM 任务的软件平台。
J Struct Biol. 2018 Sep;203(3):230-235. doi: 10.1016/j.jsb.2018.05.014. Epub 2018 Jun 1.
6
Automated picking of amyloid fibrils from cryo-EM images for helical reconstruction with RELION.利用 RELION 从 cryo-EM 图像中自动挑选淀粉样纤维进行螺旋重建。
J Struct Biol. 2021 Jun;213(2):107736. doi: 10.1016/j.jsb.2021.107736. Epub 2021 Apr 6.
7
Using Scipion for stream image processing at Cryo-EM facilities.使用 Scipion 进行 cryo-EM 设施中的流式图像处理。
J Struct Biol. 2018 Dec;204(3):457-463. doi: 10.1016/j.jsb.2018.10.001. Epub 2018 Oct 5.
8
Processing of Structurally Heterogeneous Cryo-EM Data in RELION.RELION中结构异质冷冻电镜数据的处理
Methods Enzymol. 2016;579:125-57. doi: 10.1016/bs.mie.2016.04.012. Epub 2016 May 31.
9
Integration of Cryo-EM Model Building Software in .Cryo-EM 模型构建软件在. 中的集成。
J Chem Inf Model. 2020 May 26;60(5):2533-2540. doi: 10.1021/acs.jcim.9b01032. Epub 2020 Feb 11.
10
A Robust Single-Particle Cryo-Electron Microscopy (cryo-EM) Processing Workflow with cryoSPARC, RELION, and Scipion.使用 cryoSPARC、RELION 和 Scipion 的稳健单颗粒冷冻电子显微镜(cryo-EM)处理工作流程。
J Vis Exp. 2022 Jan 31(179). doi: 10.3791/63387.

本文引用的文献

1
Positive-unlabeled convolutional neural networks for particle picking in cryo-electron micrographs.基于正样本无标签卷积神经网络的冷冻电镜颗粒挑选方法。
Nat Methods. 2019 Nov;16(11):1153-1160. doi: 10.1038/s41592-019-0575-8. Epub 2019 Oct 7.
2
SPHIRE-crYOLO is a fast and accurate fully automated particle picker for cryo-EM.SPHIRE-crYOLO 是一款快速、准确的全自动 cryo-EM 粒子挑选器。
Commun Biol. 2019 Jun 19;2:218. doi: 10.1038/s42003-019-0437-z. eCollection 2019.
3
New tools for automated high-resolution cryo-EM structure determination in RELION-3.
用于 RELION-3 中自动化高分辨率冷冻电镜结构测定的新工具。
Elife. 2018 Nov 9;7:e42166. doi: 10.7554/eLife.42166.
4
Recent developments in the CCP-EM software suite.CCP-EM 软件套件的最新进展。
Acta Crystallogr D Struct Biol. 2017 Jun 1;73(Pt 6):469-477. doi: 10.1107/S2059798317007859. Epub 2017 May 31.
5
Accelerated cryo-EM structure determination with parallelisation using GPUs in RELION-2.在RELION-2中使用图形处理器(GPU)并行化加速冷冻电镜结构测定
Elife. 2016 Nov 15;5:e18722. doi: 10.7554/eLife.18722.
6
Scipion: A software framework toward integration, reproducibility and validation in 3D electron microscopy.Scipion:一个用于三维电子显微镜集成、可重复性和验证的软件框架。
J Struct Biol. 2016 Jul;195(1):93-9. doi: 10.1016/j.jsb.2016.04.010. Epub 2016 Apr 20.
7
EMPIAR: a public archive for raw electron microscopy image data.EMPIAR:原始电子显微镜图像数据的公共存档库。
Nat Methods. 2016 May;13(5):387-8. doi: 10.1038/nmeth.3806. Epub 2016 Mar 21.
8
Electron Microscopy and Image Processing: Essential Tools for Structural Analysis of Macromolecules.电子显微镜与图像处理:大分子结构分析的必备工具
Curr Protoc Protein Sci. 2015 Nov 2;82:17.2.1-17.2.61. doi: 10.1002/0471140864.ps1702s82.
9
How cryo-EM is revolutionizing structural biology.冷冻电镜如何引发结构生物学的革命。
Trends Biochem Sci. 2015 Jan;40(1):49-57. doi: 10.1016/j.tibs.2014.10.005. Epub 2014 Nov 7.
10
Biochemistry. The resolution revolution.生物化学。分辨率革命。
Science. 2014 Mar 28;343(6178):1443-4. doi: 10.1126/science.1251652.