AUTOMATED CTF DETERMINATION

自动 CTF 测定

• 批准号: 7721138
• 负责人: CHIN-FEN YANG
• 金额: $ 8.12万
• 依托单位: BAYLOR COLLEGE OF MEDICINE
• 依托单位国家: 美国
• 财政年份: 2007
• 资助国家: 美国
• 起止时间: 2007-12-01 至 2008-11-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/7721138
• 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.

这个子项目是许多利用 由NIH/NCRR资助的中心赠款提供的资源。子项目和 研究者（PI）可能从另一个NIH来源获得了主要资金， 因此可以在其他CRISP条目中表示。所列机构为 研究中心，而研究中心不一定是研究者所在的机构。 在图像形成过程中，每幅电子显微照片都受到显微镜对比度传递函数（CTF）和相关显微镜参数的调制。由于不同的显微照片的CTF调制是不同的，所以必须准确地估计每个显微照片的CTF模型参数，使得来自不同显微照片的颗粒图像可以针对CTF调制进行校正并合并以实现最高分辨率的3-D重建。我们已经使用了一种优化算法，使这些参数的确定可靠和自动。