AUTOMATED CTF DETERMINATION

本子项目是利用由NIH/NCRR资助的中心赠款提供的资源的众多研究子项目之一。子项目和研究者（PI）可能已经从另一个NIH来源获得了主要资金，因此可以在其他CRISP条目中表示。列出的机构是中心的，不一定是研究者的机构。在图像形成过程中，每一张电子显微镜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。由于不同显微照片的CTF调制不同，因此必须准确估计每个显微照片的CTF模型参数，以便根据CTF调制对不同显微照片的颗粒图像进行校正并合并，以实现最高分辨率的三维重建。我们使用了一种优化算法来可靠地、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.