AUTOMATED CTF DETERMINATION

自动 CTF 测定

• 批准号: 7598600
• 负责人: WEN JIANG
• 金额: $ 0.81万
• 依托单位: BAYLOR COLLEGE OF MEDICINE
• 依托单位国家: 美国
• 财政年份: 2006
• 资助国家: 美国
• 起止时间: 2006-12-01 至 2007-11-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/7598600
• 关键词: 3-Dimensional; Algorithms; Computer Retrieval of Information on Scientific Projects Database; Electrons; Funding; Grant; Image; Institution; Microscope; Modeling; Process; Research; Research Personnel; Resolution; Resources; Source; United States National Institutes of Health; particle; reconstruction

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. Every electron micrograph is modulated by the microscope contrast transfer function (CTF) and associated microscope parameters during the image formation process. Since the CTF modulations are different for different micrographs, it is essential to accurately estimate the CTF model parameters for each micrograph so that the particle images from different micrographs can be corrected for the CTF modulation and merged to achieve highest resolution 3-D reconstruction. We have used an optimization algorithm to allow the determination of these parameters reliably and automatically.

这个子项目是众多研究子项目之一