DocumentCode
2803992
Title
Special purpose 3-D reconstruction and restoration algorithms for electron microscopy of nanoscale objects and an enabling software toolkit
Author
Prust, Cory J. ; Wang, Kang ; Zheng, Yili ; Doerschuk, Peter C.
Author_Institution
Electr. & Comput. Eng., Purdue Univ., West Lafayette, IN, USA
fYear
2009
fDate
June 28 2009-July 1 2009
Firstpage
302
Lastpage
305
Abstract
Two algorithms are described for electron microscopy tasks: (1) 3-D reconstruction of an infectious bacteriophage, including the tail, based on a set of single-particle cryo electron microscopy images of identical phage particles with one image per particle and (2) restoration, resolution enhancement, and classification of spherical viruses in a cell based on a tomographic reconstruction of the entire cell. While different tasks, the statistical algorithms, which are maximum likelihood estimators, have extensive commonality. In order to provide solutions for such tasks in a timely fashion, a software toolkit has been created, based on the commonality, for writing parallel software systems to solve these problems.
Keywords
electron microscopy; image classification; image enhancement; image reconstruction; medical image processing; microorganisms; 3D image reconstruction; cellular biophysics; image classification; image resolution enhancement; image restoration; infectious bacteriophage; maximum likelihood estimation; nanoscale objects; parallel software systems; single-particle cryo electron microscopy; spherical viruses; tomographic reconstruction; Electron microscopy; Image reconstruction; Image resolution; Image restoration; Software algorithms; Software tools; Tail; Three dimensional displays; Tomography; Viruses (medical); 3-D image reconstruction; 3-D volume restoration; electron microscopy; tomography; virus; volume classification;
fLanguage
English
Publisher
ieee
Conference_Titel
Biomedical Imaging: From Nano to Macro, 2009. ISBI '09. IEEE International Symposium on
Conference_Location
Boston, MA
ISSN
1945-7928
Print_ISBN
978-1-4244-3931-7
Electronic_ISBN
1945-7928
Type
conf
DOI
10.1109/ISBI.2009.5193044
Filename
5193044
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