A Binary Segmentation Approach for Boxing Ribosome Particles in Cryo EM Micrographs

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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 angstrom 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 ... continued below

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Adiga, Umesh P. S.; Malladi, Ravi; Baxter, William & Glaeser, Robert M. June 24, 2003.

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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 angstrom 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 percent success is achieved in automatic particle picking.

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  • Journal Name: Journal of Structural Biology; Journal Volume: 145; Journal Issue: 1-2; Other Information: Journal Publication Date: Jan.-Feb. 2004

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  • Report No.: LBNL--52585
  • Grant Number: AC03-76SF00098
  • Office of Scientific & Technical Information Report Number: 823068
  • Archival Resource Key: ark:/67531/metadc781069

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  • June 24, 2003

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  • Dec. 3, 2015, 9:30 a.m.

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  • Dec. 13, 2016, 8:54 p.m.

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Adiga, Umesh P. S.; Malladi, Ravi; Baxter, William & Glaeser, Robert M. A Binary Segmentation Approach for Boxing Ribosome Particles in Cryo EM Micrographs, article, June 24, 2003; Berkeley, California. (digital.library.unt.edu/ark:/67531/metadc781069/: accessed September 23, 2018), University of North Texas Libraries, Digital Library, digital.library.unt.edu; crediting UNT Libraries Government Documents Department.