Literature DB >> 19670359

Flow cytometry with gold nanoparticles and their clusters as scattering contrast agents: FDTD simulation of light-cell interaction.

Stoyan Tanev1, Wenbo Sun, James Pond, Valery V Tuchin, Vladimir P Zharov.   

Abstract

The formulation of the finite-difference time-domain (FDTD) approach is presented in the framework of its potential applications to in-vivo flow cytometry based on light scattering. The consideration is focused on comparison of light scattering by a single biological cell alone in controlled refractive-index matching conditions and by cells labeled by gold nanoparticles. The optical schematics including phase contrast (OPCM) microscopy as a prospective modality for in-vivo flow cytometry is also analyzed. The validation of the FDTD approach for the simulation of flow cytometry may open up a new avenue in the development of advanced cytometric techniques based on scattering effects from nanoscale targets. 2009 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim

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Year:  2009        PMID: 19670359      PMCID: PMC2893151          DOI: 10.1002/jbio.200910039

Source DB:  PubMed          Journal:  J Biophotonics        ISSN: 1864-063X            Impact factor:   3.207


  18 in total

1.  Real-time vital optical imaging of precancer using anti-epidermal growth factor receptor antibodies conjugated to gold nanoparticles.

Authors:  Konstantin Sokolov; Michele Follen; Jesse Aaron; Ina Pavlova; Anais Malpica; Reuben Lotan; Rebecca Richards-Kortum
Journal:  Cancer Res       Date:  2003-05-01       Impact factor: 12.701

2.  Light scattering from normal and dysplastic cervical cells at different epithelial depths: finite-difference time-domain modeling with a perfectly matched layer boundary condition.

Authors:  Dizem Arifler; Martial Guillaud; Anita Carraro; Anais Malpica; Michele Follen; Rebecca Richards-Kortum
Journal:  J Biomed Opt       Date:  2003-07       Impact factor: 3.170

3.  Cell membrane and gold nanoparticles effects on optical immersion experiments with noncancerous and cancerous cells: finite-difference time-domain modeling.

Authors:  Stoyan Tanev; Valery V Tuchin; Paul Paddon
Journal:  J Biomed Opt       Date:  2006 Nov-Dec       Impact factor: 3.170

Review 4.  Self-assembling nanoclusters in living systems: application for integrated photothermal nanodiagnostics and nanotherapy.

Authors:  Vladimir P Zharov; Jin-Woo Kim; David T Curiel; Maaike Everts
Journal:  Nanomedicine       Date:  2005-12       Impact factor: 5.307

5.  Mie theory for light scattering by a spherical particle in an absorbing medium.

Authors:  Q Fu; W Sun
Journal:  Appl Opt       Date:  2001-03-20       Impact factor: 1.980

6.  Finite-difference time-domain solution of light scattering by dielectric particles with large complex refractive indices.

Authors:  W Sun; Q Fu
Journal:  Appl Opt       Date:  2000-10-20       Impact factor: 1.980

7.  Optical detection of intracellular cavitation during selective laser targeting of the retinal pigment epithelium: dependence of cell death mechanism on pulse duration.

Authors:  Ho Lee; Clemens Alt; Costas M Pitsillides; Charles P Lin
Journal:  J Biomed Opt       Date:  2007 Nov-Dec       Impact factor: 3.170

8.  A pulsed finite-difference time-domain (FDTD) method for calculating light scattering from biological cells over broad wavelength ranges.

Authors:  R Drezek; A Dunn; R Richards-Kortum
Journal:  Opt Express       Date:  2000-03-27       Impact factor: 3.894

9.  Finite-difference time-domain simulation of light scattering from single cells.

Authors:  A K Dunn; C L Smithpeter; A J Welch; R R Richards-Kortum
Journal:  J Biomed Opt       Date:  1997-07       Impact factor: 3.170

10.  Nanocluster model of photothermal assay: application for high-sensitive monitoring of nicotine-induced changes in metabolism, apoptosis, and necrosis at a cellular level.

Authors:  Vladimir P Zharov; Valentin Galitovsky; Parimal Chowdhury
Journal:  J Biomed Opt       Date:  2005 Jul-Aug       Impact factor: 3.170

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  8 in total

1.  Wavelength-dependent backscattering measurements for quantitative monitoring of apoptosis, part 2: early spectral changes during apoptosis are linked to apoptotic volume decrease.

Authors:  Christine S Mulvey; Kexiong Zhang; Wei-Han Bobby Liu; David J Waxman; Irving J Bigio
Journal:  J Biomed Opt       Date:  2011-11       Impact factor: 3.170

2.  Towards in vivo flow cytometry.

Authors:  Valery V Tuchin; Attila Tárnok; Vladimir P Zharov
Journal:  J Biophotonics       Date:  2009-09       Impact factor: 3.207

Review 3.  In vivo flow cytometry: a horizon of opportunities.

Authors:  Valery V Tuchin; Attila Tárnok; Vladimir P Zharov
Journal:  Cytometry A       Date:  2011-09-13       Impact factor: 4.355

4.  In vivo multispectral photoacoustic and photothermal flow cytometry with multicolor dyes: a potential for real-time assessment of circulation, dye-cell interaction, and blood volume.

Authors:  Mikhail A Proskurnin; Tatyana V Zhidkova; Dmitry S Volkov; Mustafa Sarimollaoglu; Ekaterina I Galanzha; Donald Mock; Dmitry A Nedosekin; Vladimir P Zharov
Journal:  Cytometry A       Date:  2011-09-08       Impact factor: 4.355

5.  In vivo plant flow cytometry: a first proof-of-concept.

Authors:  Dmitry A Nedosekin; Mariya V Khodakovskaya; Alexandru S Biris; Daoyuan Wang; Yang Xu; Hector Villagarcia; Ekaterina I Galanzha; Vladimir P Zharov
Journal:  Cytometry A       Date:  2011-09-08       Impact factor: 4.355

6.  Nanotechnology-based molecular photoacoustic and photothermal flow cytometry platform for in-vivo detection and killing of circulating cancer stem cells.

Authors:  Ekaterina I Galanzha; Jin-Woo Kim; Vladimir P Zharov
Journal:  J Biophotonics       Date:  2009-12       Impact factor: 3.207

Review 7.  Photoacoustic flow cytometry.

Authors:  Ekaterina I Galanzha; Vladimir P Zharov
Journal:  Methods       Date:  2012-06-26       Impact factor: 3.608

8.  Circulating Tumor Cell Detection and Capture by Photoacoustic Flow Cytometry in Vivo and ex Vivo.

Authors:  Ekaterina I Galanzha; Vladimir P Zharov
Journal:  Cancers (Basel)       Date:  2013-12-10       Impact factor: 6.639

  8 in total

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