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
Link To Document :
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