02292nas a2200301 4500008004100000022001400041245008900055210006900144260001200213300001100225490000800236520138600244653001501630653001501645653003001660653002801690653002201718653004001740653001801780653003501798653001401833653002001847100001701867700001801884700001701902700002301919856004801942 2004 eng d a1047-847700aA binary segmentation approach for boxing ribosome particles in cryo EM micrographs.0 abinary segmentation approach for boxing ribosome particles in cr c01/2004 a142-510 v1453 a
Three-dimensional reconstruction of ribosome particles from electron micrographs requires selection of many single-particle images. Roughly 100,000 particles are required to achieve approximately 10 A resolution. Manual selection of particles, by visual observation of the micrographs on a computer screen, is recognized as a bottleneck in automated single-particle reconstruction. This paper describes an efficient approach for automated boxing of ribosome particles in micrographs. Use of a fast, anisotropic non-linear reaction-diffusion method to pre-process micrographs and rank-leveling to enhance the contrast between particles and the background, followed by binary and morphological segmentation constitute the core of this technique. Modifying the shape of the particles to facilitate segmentation of individual particles within clusters and boxing the isolated particles is successfully attempted. Tests on a limited number of micrographs have shown that over 80% success is achieved in automatic particle picking.
10aAlgorithms10aAnisotropy10aAutomatic Data Processing10aCryoelectron Microscopy10aImage Enhancement10aImage Processing, Computer-Assisted10aParticle Size10aPattern Recognition, Automated10aRibosomes10aSoftware Design1 aAdiga, Umesh1 aMalladi, Ravi1 aBaxter, Bill1 aGlaeser, Robert, M uhttp://www.ncbi.nlm.nih.gov/pubmed/15065681