AUTOMATED CTF DETERMINATION

这个子项目是许多研究子项目中利用 资源由NIH/NCRR资助的中心拨款提供。子项目和 调查员(PI)可能从NIH的另一个来源获得了主要资金， 并因此可以在其他清晰的条目中表示。列出的机构是 该中心不一定是调查人员的机构。 从二维单粒子电子图像重建大分子需要确定和校正对比度传递函数(CTF)和包络函数。提出了一种基于约束非线性优化的计算算法，可同时自动估计CTF模型和包络函数模型中的基本参数。

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. 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.