AUTOMATED CTF DETERMINATION

自动 CTF 测定

• 批准号: 7953769
• 负责人: CHIN-FEN YANG
• 金额: $ 3.48万
• 依托单位: BAYLOR COLLEGE OF MEDICINE
• 依托单位国家: 美国
• 财政年份: 2008
• 资助国家: 美国
• 起止时间: 2008-12-01 至 2009-11-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/7953769
• 关键词: Computational algorithm; Computer Retrieval of Information on Scientific Projects Database; Electron Microscopy; Electrons; Funding; Grant; Image; Institution; Modeling; Research; Research Personnel; Resources; Source; United States National Institutes of Health; base; macromolecule; particle; reconstruction; two-dimensional

This subproject is one of many research subprojects utilizing the resources provided by a Center grant funded by NIH/NCRR. The subproject and investigator (PI) may have received primary funding from another NIH source, and thus could be represented in other CRISP entries. The institution listed is for the Center, which is not necessarily the institution for the investigator. The three-dimensional reconstruction of macromolecules from two-dimensional single-particle electron images requires determination and correction of the contrast transfer function (CTF) and envelope function. A computational algorithm based on constrained nonlinear optimization is developed to estimate the essential parameters in CTF and envelope function model simultaneously and automatically.

该子项目是利用该技术的众多研究子项目之一 资源由 NIH/NCRR 资助的中心拨款提供。子项目和 研究者 (PI) 可能已从 NIH 的另一个来源获得主要资金， 因此可以在其他 CRISP 条目中表示。列出的机构是 对于中心来说，它不一定是研究者的机构。 从二维单粒子电子图像对大分子进行三维重建需要确定和校正对比度传递函数（CTF）和包络函数。开发了一种基于约束非线性优化的计算算法来同时自动估计CTF和包络函数模型中的基本参数。