Wong H Chi, Chen Jindong, Mouche Fabrice, Rouiller Isabelle, Bern Marshall
Palo Alto Research Center, 3333 Coyote Hill Rd, Palo Alto, CA 94070, USA.
J Struct Biol. 2004 Jan-Feb;145(1-2):157-67. doi: 10.1016/j.jsb.2003.05.001.
We describe an algorithm for finding particle images in cryo-EM micrographs. The algorithm starts from a crude 3D map of the target particle, computed from a relatively small number of manually picked images, and then projects the map in many different directions to give synthetic 2D templates. The templates are clustered and averaged and then cross-correlated with the micrographs. A probabilistic model of the imaging process then scores cross-correlation peaks to produce the final picks. We give quantitative results on two quite different target particles: keyhole limpet hemocyanin and p97 AAA ATPase. On these particles our automatic particle picker shows human performance level, as measured by the Fourier shell correlations of 3D reconstructions.
我们描述了一种在冷冻电镜显微图像中寻找粒子图像的算法。该算法从由相对少量手动挑选的图像计算得到的目标粒子的粗略三维图谱开始，然后将该图谱沿许多不同方向投影以生成合成二维模板。这些模板被聚类和平均，然后与显微图像进行互相关。成像过程的概率模型随后对互相关峰进行评分以产生最终挑选结果。我们给出了关于两种截然不同的目标粒子的定量结果：钥孔戚血蓝蛋白和p97 AAA型ATP酶。在这些粒子上，我们的自动粒子挑选器达到了人类的挑选水平，这通过三维重建的傅里叶壳层相关来衡量。
