Maximum likelihood 3-D reconstruction of multiple viruses from mixtures of cryo electron microscope images

Junghoon Lee; Yili Zheng; Peter C. Doerschuk; Jinghua Tang; John E. Johnson

doi:10.1117/12.598307

Maximum likelihood 3-D reconstruction of multiple viruses from mixtures of cryo electron microscope images

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

Research output: Contribution to journal › Conference article › peer-review

1 Scopus citations

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 language	English (US)
Article number	34
Pages (from-to)	336-343
Number of pages	8
Journal	Proceedings of SPIE - The International Society for Optical Engineering
Volume	5674
DOIs	https://doi.org/10.1117/12.598307
State	Published - 2005
Externally published	Yes
Event	Proceedings of SPIE-IS and T Electronic Imaging - Computational Imaging III - San Jose, CA, United States Duration: Jan 17 2005 → Jan 18 2005

Keywords

3-D reconstruction
Statistical 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

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10.1117/12.598307

Cite this

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title = "Maximum likelihood 3-D reconstruction of multiple viruses from mixtures of cryo electron microscope images",

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.",

keywords = "3-D reconstruction, Statistical reconstruction, Tomography, Virus structure",

author = "Junghoon Lee and Yili Zheng and Doerschuk, {Peter C.} and Jinghua Tang and Johnson, {John E.}",

year = "2005",

doi = "10.1117/12.598307",

language = "English (US)",

volume = "5674",

pages = "336--343",

journal = "Proceedings of SPIE - The International Society for Optical Engineering",

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publisher = "SPIE",

note = "Proceedings of SPIE-IS and T Electronic Imaging - Computational Imaging III ; Conference date: 17-01-2005 Through 18-01-2005",

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TY - JOUR

T1 - Maximum likelihood 3-D reconstruction of multiple viruses from mixtures of cryo electron microscope images

AU - Lee, Junghoon

AU - Zheng, Yili

AU - Doerschuk, Peter C.

AU - Tang, Jinghua

AU - Johnson, John E.

PY - 2005

Y1 - 2005

N2 - 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.

AB - 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.

KW - 3-D reconstruction

KW - Statistical reconstruction

KW - Tomography

KW - Virus structure

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DO - 10.1117/12.598307

M3 - Conference article

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VL - 5674

SP - 336

EP - 343

JO - Proceedings of SPIE - The International Society for Optical Engineering

JF - Proceedings of SPIE - The International Society for Optical Engineering

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T2 - Proceedings of SPIE-IS and T Electronic Imaging - Computational Imaging III

Y2 - 17 January 2005 through 18 January 2005

ER -

Maximum likelihood 3-D reconstruction of multiple viruses from mixtures of cryo electron microscope images

Abstract

Keywords

ASJC Scopus subject areas

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