TY - JOUR T1 - Particle picking by segmentation: a comparative study with SPIDER-based manual particle picking. JF - J Struct Biol Y1 - 2005 A1 - Adiga, Umesh A1 - Baxter, Bill A1 - Hall, Richard J A1 - Rockel, Beate A1 - Rath, Bimal K A1 - Frank, Joachim A1 - Glaeser, Robert M KW - Algorithms KW - Aminopeptidases KW - Cryoelectron Microscopy KW - Dipeptidyl-Peptidases and Tripeptidyl-Peptidases KW - Image Processing, Computer-Assisted KW - Imaging, Three-Dimensional KW - Internet KW - Particle Size KW - Ribosomes KW - Serine Endopeptidases KW - Software KW - Software Validation AB -

Boxing hundreds of thousands of particles in low-dose electron micrographs is one of the major bottle-necks in advancing toward achieving atomic resolution reconstructions of biological macromolecules. We have shown that a combination of pre-processing operations and segmentation can be used as an effective, automatic tool for identifying and boxing single-particle images. This paper provides a brief description of how this method has been applied to a large data set of micrographs of ice-embedded ribosomes, including a comparative analysis of the efficiency of the method. Some results on processing micrographs of tripeptidyl peptidase II particles are also shown. In both cases, we have achieved our goal of selecting at least 80% of the particles that an expert would select with less than 10% false positives.

VL - 152 UR - http://www.ncbi.nlm.nih.gov/pubmed/16330229 IS - 3 ER -