Computing the 3-D structure of viruses from electron microscope images

Junghoon Lee, Peter C. Doerschuk, Jinghua Tang, John E. Johnson

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

Abstract

3-D reconstruction of the electron scattering intensity of a virus from cryo electron microscopy is essentially a 3-D tomography problem in which the orientation of the 2-D projections is unknown. Many biological problems concern mixtures of different types of virus particles or mixtures of different maturation states of the same type of virus particle. For a variety of reasons, especially low SNR, it can be very challenging to label the type or state shown in an individual image. Algorithms capable of computing multiple reconstructions, one for each type or state, based on images which are not labeled according to type or state, are described and demonstrated on experimental images.

Original languageEnglish (US)
Title of host publication2005 IEEE ICASSP '05 - Proc. - Design and Implementation of Signal Proces.Syst.,Indust. Technol. Track,Machine Learning for Signal Proces. Education, Spec. Sessions
PublisherInstitute of Electrical and Electronics Engineers Inc.
PagesV845-V848
ISBN (Print)0780388747, 9780780388741
DOIs
StatePublished - Jan 1 2005
Externally publishedYes
Event2005 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP '05 - Philadelphia, PA, United States
Duration: Mar 18 2005Mar 23 2005

Publication series

NameICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
VolumeV
ISSN (Print)1520-6149

Other

Other2005 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP '05
CountryUnited States
CityPhiladelphia, PA
Period3/18/053/23/05

ASJC Scopus subject areas

  • Software
  • Signal Processing
  • Electrical and Electronic Engineering

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  • Cite this

    Lee, J., Doerschuk, P. C., Tang, J., & Johnson, J. E. (2005). Computing the 3-D structure of viruses from electron microscope images. In 2005 IEEE ICASSP '05 - Proc. - Design and Implementation of Signal Proces.Syst.,Indust. Technol. Track,Machine Learning for Signal Proces. Education, Spec. Sessions (pp. V845-V848). [1416436] (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings; Vol. V). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICASSP.2005.1416436