Full Article
Quantitative cell bioimaging using gold-nanoshell conjugates and phage antibodies
Article first published online: 1 MAR 2010
DOI: 10.1002/jbio.200900093
Copyright © 2011 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim
Additional Information
How to Cite
Khanadeev, V. A., Khlebtsov, B. N., Staroverov, S. A., Vidyasheva, I. V., Skaptsov, A. A., Ileneva, E. S., Bogatyrev, V. A., Dykman, L. A. and Khlebtsov, N. G. (2011), Quantitative cell bioimaging using gold-nanoshell conjugates and phage antibodies. J. Biophoton., 4: 74–83. doi: 10.1002/jbio.200900093
Publication History
- Issue published online: 1 MAR 2010
- Article first published online: 1 MAR 2010
- Manuscript Accepted: 11 FEB 2010
- Manuscript Revised: 9 FEB 2010
- Manuscript Received: 12 DEC 2009
Funded by
- RFBR. Grant Numbers: 08-02-00399-a, 09-02-00496-a
- Russian Federation Program “Development of the Scientific Potential of Higher School”. Grant Number: 2.2.1.1/2950
- Special Program of RF “Scientific and Pedagogical Personnel of Innovative Russia”. Grant Number: 02.740.11.0484
- President of the Russian Federation. Grant Number: MK-684.2009.2
- Seventh Framework Program Photonics4Life
- Abstract
- References
- Cited By
Keywords:
- silica/gold nanoshells;
- plasmon resonance scattering;
- bioimaging;
- phage antibodies
Abstract
The authors describe a quantitative evaluation of the efficacy of cell labeling with plasmon-resonant light-scattering nanoparticles used as contrast agents for dark-field microscopy imaging. The experimental model is based on the biospecific labeling of pig embryo kidney (SPEV) cells with primary phage antibodies, followed by the dark-field microscopic visualization using conjugates of silica/gold nanoshells with secondary rabbit antiphage antibodies. To quantify nanoparticle binding, the authors introduce the labeling-efficacy factor (LEF) which is equal to the ratio of the bound-particle pixels per cell to the total number of pixels occupied by the cell. The LEF is calculated by an imaging-analysis algorithm based on the freely available ImageJ Java-based processing code. In terms of the LEF, a distinct difference was found between intact, nonspecifically labeled, and biospecifically labeled cells. (© 2011 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim)

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