Phenomenology of optical scattering from plasmonic aggregates for application to biological imaging and clinical therapeutics

Travis, Kort; Aaron, Jesse; Harrison, Nathan; Sokolov, Konstantin

doi:10.1117/12.763869

Cited by 3 publications

(10 citation statements)

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“…For random aggregates, due to the high-order, non-linear dependence of the plasmonic resonance coupling on the inter-particle spacing, small statistical fluctuations in particle position about the mean have a significant effect on spectral shift40. In addition, three-dimensional more volume-filling aggregates, such as those seen in endosomes, experience significantly more spectral shift than two-dimensional aggregates.…”

Section: Electrodynamic Modeling Of Light Scattering From Metal Nanopmentioning

confidence: 99%

“…It has been shown that the optical changes corresponding to inter-particle distance between nanoparticle pairs can be precisely quantified23 and work is under way to develop a similarly quantified model for nanoparticle aggregates40.…”

Section: Monitoring Of Egfr Traffickingmentioning

confidence: 99%

“…The computational electrodynamics codes used for the nanoparticle aggregate simulations are part of a new T-matrix code-base implemented entirely in C++, which has been developed over the past several years. 40 A hybrid multithreaded messagepassing-interface (MPI) task model is used throughout, allowing optimal utilization of modern cluster-computing resources. The specific T-matrix formulation used, as extended to aggregates, is based primarily on the methods discussed in Mackowski, Mishchenko, [41][42][43] and Stout.…”

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confidence: 99%

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Dynamic Imaging of Molecular Assemblies in Live Cells Based on Nanoparticle Plasmon Resonance Coupling

et al. 2009

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We used molecular-specific gold nanoparticles to monitor epidermal growth factor receptors (EGFR) in live A431 cells over time. Dark-field hyperspectral imaging, electron microscopy, and electrodynamic modeling were used to correlate optical properties of EGFR-bound plasmonic nanoparticles with receptor regulation state. We showed that receptor trafficking resulted in a progressive red-shift of greater than 100nm in the nanoparticle plasmon resonance wavelength over a time period of 60 minutes. Furthermore, we demonstrated that changes in peak scattering wavelengths of gold nanoparticles from 546±15 nm to 574±20 nm and, to 597±44 nm are associated with EGFR trafficking from the cell membrane, to early endosomes and to late endosomes/multivesicular bodies, respectively. Finally, we used the changes in scattering spectra of EGFR-bound nanoparticles and a straightforward statistical analysis of RGB-channel color images of labeled cells to create near real-time maps of EGFR regulatory states in living cells.Keywords plasmonic nanoparticles; molecular imaging; functional imaging; growth factor receptors; molecular trafficking Detecting and monitoring the vast number of bio-molecular interactions in the cell is a central effort in biology, as these interactions largely govern the behavior of nearly all cell types. Imaging methods are an indispensable approach for measuring the spatio-temporal characteristics of protein assemblies in intact cells. In this work, we expand the application of nanoparticle plasmon resonance coupling (NPRC) and demonstrate a novel, generalized method for imaging and characterizing molecular assemblies at the nanometer length-scale in living cells.Over the past decades, fluorescence resonance energy transfer (FRET) has allowed many investigators to elucidate important functional associations between pairs of proteins at submicroscopic resolution, all without destroying the cell 1 . More recently, techniques such as image correlation microscopy (ICM) and its variants have been widely used to characterize larger protein assemblies and clusters, including EGFR, in-situ2 , 3. Although all of these techniques are eminently useful, FRET is typically limited to detecting two very closely separated (< 5nm) molecules of different types1 , 4. While the various ICM methods can be used to evaluate associations and clustering between many molecules on the submicron scale, this additional information is an ensemble average and it does not directly reveal the distribution of cluster sizes or any additional information related to nanometer-scale organization of biomolecules forming the clusters2 , 3. Furthermore, ICM methods are in general highly sensitive to background interference, and the resolution of the imaging system is often not fully utilized. In addition, both FRET and ICM can be critically limited by photobleaching. These limitations are avoided in electron microscopy (EM), and in particular, the immuno-gold method to image assemblies of biomolecules at the nanometer length scale 5 . Howe...

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Section: Electrodynamic Modeling Of Light Scattering From Metal Nanopmentioning

confidence: 99%

Section: Monitoring Of Egfr Traffickingmentioning

confidence: 99%

mentioning

confidence: 99%

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Dynamic Imaging of Molecular Assemblies in Live Cells Based on Nanoparticle Plasmon Resonance Coupling

et al. 2009

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“…[14,69,137,173,174,217]. [4,5,8,9,34,35,38,41,47,[55][56][57]62,63,67,69,80,88,132,133,136,171,173,174,188,200,201,209,218,238]. 3.2.…”

Section: T-matrix Modeling Of Scattering Properties Of Aerosol and Cloud Particles In Planetary Atmospheresmentioning

confidence: 99%

Comprehensive T-matrix reference database: A 2012–2013 update

Mishchenko¹,

Videen²,

Khlebtsov³

et al. 2013

Journal of Quantitative Spectroscopy and Radiative Transfer

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a b s t r a c tThe T-matrix method is among the most versatile, efficient, and widely used theoretical techniques for the numerically exact computation of electromagnetic scattering by homogeneous and composite particles, clusters of particles, discrete random media, and particles in the vicinity of an interface separating two half-spaces with different refractive indices. This paper presents an update to the comprehensive database of Tmatrix publications compiled by us previously and includes the publications that appeared since 2007. It also lists several earlier publications not included in the original database.Published by Elsevier Ltd.

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“…[14,69,137,173,174,217]. [4,5,8,9,34,35,38,41,47,[55][56][57]62,63,67,69,80,88,132,133,136,171,173,174,188,200,201,209,218,238]. 3.2.…”

Section: T-matrix Modeling Of Scattering Properties Of Aerosol and Cloud Particles In Planetary Atmospheresmentioning

confidence: 99%

Comprehensive T-matrix reference database: A 2007–2009 update

Mishchenko

Zakharova

Videen

et al. 2010

Journal of Quantitative Spectroscopy and Radiative Transfer

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Phenomenology of optical scattering from plasmonic aggregates for application to biological imaging and clinical therapeutics

Cited by 3 publications

References 0 publications

Dynamic Imaging of Molecular Assemblies in Live Cells Based on Nanoparticle Plasmon Resonance Coupling

Dynamic Imaging of Molecular Assemblies in Live Cells Based on Nanoparticle Plasmon Resonance Coupling

Comprehensive T-matrix reference database: A 2012–2013 update

Comprehensive T-matrix reference database: A 2007–2009 update

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