Classification of cryo electron microscopy images, noisy tomographic images recorded with unknown projection directions, by simultaneously estimating reconstructions and application to an assembly mutant of Cowpea Chlorotic Mottle Virus and portals of the bacteriophage P22

Junghoon Lee, Yili Zheng, Zhye Yin, Peter C. Doerschuk, John E. Johnson

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Cryo electron microscopy is frequently used on biological specimens that show a mixture of different types of object. Because the electron beam rapidly destroys the specimen, the beam current is minimized which leads to noisy images (SNR substantially less than 1) and only one projection image per object (with an unknown projection direction) is collected. For situations where the objects can reasonably be described as coming from a finite set of classes, an approach based on joint maximum likelihood estimation of the reconstruction of each class and then use of the reconstructions to label the class of each image is described and demonstrated on two challenging problems: an assembly mutant of Cowpea Chlorotic Mottle Virus and portals of the bacteriophage P22.

Original languageEnglish (US)
Title of host publicationImage Reconstruction from Incomplete Data VI
DOIs
StatePublished - Nov 8 2010
EventImage Reconstruction from Incomplete Data VI - San Diego, CA, United States
Duration: Aug 2 2010Aug 3 2010

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume7800
ISSN (Print)0277-786X

Other

OtherImage Reconstruction from Incomplete Data VI
CountryUnited States
CitySan Diego, CA
Period8/2/108/3/10

Keywords

  • Cowpea Chlorotic Mottle Virus
  • cryo electron microscopy
  • portal of Bacteriophage P22
  • statistical image classification; statistical inverse problem; statistical signal reconstruction; tomography
  • virus structure

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering

Fingerprint Dive into the research topics of 'Classification of cryo electron microscopy images, noisy tomographic images recorded with unknown projection directions, by simultaneously estimating reconstructions and application to an assembly mutant of Cowpea Chlorotic Mottle Virus and portals of the bacteriophage P22'. Together they form a unique fingerprint.

  • Cite this

    Lee, J., Zheng, Y., Yin, Z., Doerschuk, P. C., & Johnson, J. E. (2010). Classification of cryo electron microscopy images, noisy tomographic images recorded with unknown projection directions, by simultaneously estimating reconstructions and application to an assembly mutant of Cowpea Chlorotic Mottle Virus and portals of the bacteriophage P22. In Image Reconstruction from Incomplete Data VI [78000R] (Proceedings of SPIE - The International Society for Optical Engineering; Vol. 7800). https://doi.org/10.1117/12.862066