AUTOMATED CTF DETERMINATION

这个子项目是利用由NIH/NCRR资助的中心拨款提供的资源的许多研究子项目之一。子项目和调查员(PI)可能从另一个NIH来源获得了主要资金，因此可能会出现在其他CRISE条目中。列出的机构是针对中心的，而不一定是针对调查员的机构。在成像过程中，每个电子显微图像都受到显微镜对比度传递函数(CTF)和相关的显微镜参数的调制。由于不同显微图像的CTF调制是不同的，因此必须准确地估计每个显微图像的CTF模型参数，以便对来自不同显微图像的粒子图像进行CTF调制校正和合并以获得最高分辨率的三维重建。我们使用了一种优化算法，以允许可靠和自动地确定这些参数。

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.