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Transfer function restoration in 3D electron microscopy via iterative data refinement

Author
Sorzano, Carlos Oscar S.; Marabini Ruiz, Robertountranslated; Herman, G. T.; Censor, Y.; Carazo García, Jose María
Entity
UAM. Departamento de Ingeniería Informática
Publisher
Institute of Physics Publishing Ltd.
Date
2004-02
Citation
10.1088/0031-9155/49/4/003
Physics in Medicine and Biology 49.4 (2004): 509-522
 
 
 
ISSN
0031-9155 (print); 1361-6560 (online)
DOI
10.1088/0031-9155/49/4/003
Funded by
Partial support is acknowledged to the Comisión Interministerial de Ciencia y Tecnología of Spain through projects BIO98-0761 and BIO2001-1237 and to National Institutes of Health through grant HL70472. The work of Y. Censor was done in part at the Center for Computational Mathematics and Scientific Computation (CCMSC) at the University of Haifa and supported by Research Grant 592/00 from the Israel Science Foundation founded by the Israel Academy of Sciences and Humanities.
Editor's Version
http://dx.doi.org/10.1088/0031-9155/49/4/003
Subjects
Soft matter, liquids and polymers; Atomic and molecular physics; Computational physics; Medical physics; Biological physics; Informática
URI
http://hdl.handle.net/10486/666429
Rights
© 2004 IOP Publishing

Abstract

Three-dimensional electron microscopy (3D-EM) is a powerful tool for visualizing complex biological systems. As with any other imaging device, the electron microscope introduces a transfer function (called in this field the contrast transfer function, CTF) into the image acquisition process that modulates the various frequencies of the signal. Thus, the 3D reconstructions performed with these CTF-affected projections are also affected by an implicit 3D transfer function. For high-resolution electron microscopy, the effect of the CTF is quite dramatic and limits severely the achievable resolution. In this work we make use of the iterative data refinement (IDR) technique to ameliorate the effect of the CTF. It is demonstrated that the approach can be successfully applied to noisy data.
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Google™ Scholar:Sorzano, Carlos Oscar S. - Marabini Ruiz, Roberto - Herman, G. T. - Censor, Y. - Carazo García, Jose María

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  • Producción científica en acceso abierto de la UAM [16606]

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