Volkmann Niels
The Burnham Institute, La Jolla, CA 92037, USA.
J Struct Biol. 2004 Jan-Feb;145(1-2):152-6. doi: 10.1016/j.jsb.2003.11.026.
Reduced representation templates are used in a real-space pattern matching framework to facilitate automatic particle picking from electron micrographs. The procedure consists of five parts. First, reduced templates are constructed either from models or directly from the data. Second, a real-space pattern matching algorithm is applied using the reduced representations as templates. Third, peaks are selected from the resulting score map using peak-shape characteristics. Fourth, the surviving peaks are tested for distance constraints. Fifth, a correlation-based outlier screening is applied. Test applications to a data set of keyhole limpet hemocyanin particles indicate that the method is robust and reliable.
在实空间模式匹配框架中使用简化表示模板，以促进从电子显微照片中自动挑选颗粒。该过程包括五个部分。首先，简化模板可从模型构建或直接从数据构建。其次，使用简化表示作为模板应用实空间模式匹配算法。第三，利用峰形特征从所得的得分图中选择峰。第四，对存活的峰进行距离约束测试。第五，应用基于相关性的异常值筛选。对钥孔戚血蓝蛋白颗粒数据集的测试应用表明该方法稳健且可靠。
