Particle picking by segmentation: A comparative study with SPIDER-based manual particle picking Export

@article{citeulike:3333716, abstract = {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.}, author = {Adiga, Umesh and Baxter, William T. and Hall, Richard J. and Rockel, Beate and Rath, Bimal K. and Frank, Joachim and Glaeser, Robert}, citeulike-article-id = {3333716}, citeulike-linkout-0 = {http://www.sciencedirect.com/science/article/B6WM5-4HK5P08-1/2/4f043eba0f218e5fe04dd3185b0aa24e}, journal = {Journal of Structural Biology}, keywords = {binarization, filtering, particle-picking, ribosome, xfel}, month = {December}, number = {3}, pages = {211--220}, posted-at = {2008-09-24 20:20:24}, priority = {2}, title = {Particle picking by segmentation: A comparative study with SPIDER-based manual particle picking}, url = {http://www.sciencedirect.com/science/article/B6WM5-4HK5P08-1/2/4f043eba0f218e5fe04dd3185b0aa24e}, volume = {152}, year = {2005} }

TY - JOUR ID - citeulike:3333716 L3 - citeulike-article-id:3333716 N2 - 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. IS - 3 JF - Journal of Structural Biology EP - 220 TI - Particle picking by segmentation: A comparative study with SPIDER-based manual particle picking VL - 152 SP - 211 KW - binarization KW - filtering KW - particle-picking KW - ribosome KW - xfel AU - Adiga, Umesh AU - Baxter, William AU - Hall, Richard AU - Rockel, Beate AU - Rath, Bimal AU - Frank, Joachim AU - Glaeser, Robert PY - 2005/12// UR - http://www.sciencedirect.com/science/article/B6WM5-4HK5P08-1/2/4f043eba0f218e5fe04dd3185b0aa24e ER -