Optical Imaging of Cells with Gold Nanoparticle Clusters as Light Scattering Contrast Agents: A Finite‐Difference Time‐Domain Approach to the Modeling of Flow Cytometry Configurations

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

doi:10.1002/9783527634286.ch3

Cited by 3 publications

(5 citation statements)

References 39 publications

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“…To reduce the interference from light scattering background from surrounding tissue and normal cells, gold NPs with strong light scattering due to plasmonic resonance were proposed as contrast agents for in vivo FCM (80, 81). Further development of in vivo scattering FCM may include detection of enhanced scattering effects from laser‐induced nanobubbles and microbubbles around overheated absorbing contrast agents as demonstrated in vivo for nonmoving cells (125).…”

Section: Basic Principles and Detection Methodsmentioning

confidence: 99%

“…These advances were made mostly in the fluorescent‐based in vivo FCM (58, 61–64), confocal fluorescence (59, 60, 62) and backscattering (65, 66) microscopy, multiphoton laser scanning microscopy (63, 67–78), and coherent anti‐Stokes Raman scattering (CARS) (79) techniques. Gold nanostructures were proposed to be used as scattering contrast agents in vivo FCM (80, 81).…”

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confidence: 99%

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In vivo flow cytometry: A horizon of opportunities

2011

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Flow cytometry has been a fundamental tool of biological discovery for many years. Invasive extraction of cells from a living organism, however, may lead to changes in cell properties and prevents studying cells in their native environment. These problems can be overcome by use of in vivo flow cytometry which provides detection and imaging of circulating normal and abnormal cells directlyin blood or lymph flow. The goal of this mini-review is to provide a brief history, features and challenges of this new generation of flow cytometry methods and instruments. Spectrum of possibilities of in vivo flow cytometry in biological science (e.g., cell metabolism, immune function, or apoptosis) and medical fields (e.g., cancer, infection, cardiovascular disorder) including integrated photoacoustic-photothermal theranostics of circulating abnormal cells are discussed with focus on recent advances of this new platform.

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Section: Basic Principles and Detection Methodsmentioning

confidence: 99%

mentioning

confidence: 99%

In vivo flow cytometry: A horizon of opportunities

2011

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“…, as in conventional FC) [ 38 , 39 , 40 , 41 , 42 , 46 , 47 , 48 , 49 ] and photothermal (PT) and photoacoustic (PA) detection methods [ 28 , 33 , 34 , 35 , 36 , 37 ], and, recently the combination of these methods [ 28 , 29 , 49 ]. A brief history and the features and challenges of this next generation of FC have been described in reviews and book chapters ([ 33 , 34 , 43 , 44 , 45 , 46 , 47 , 48 ] and references there) with a focus on early work in this field and broad applications, including circulating RBCs and WBCs in different functional states (e.g., normal, apoptotic), infections ( E. coli and S. aureus ), sickle cells, blood rheology, and pharmacokinetics of nanoparticles (NPs), drug carriers, and dyes and other contrast agents. Here, we summarize recent advances of in vivo FC platform with a focus on detecting CTCs with PAFC methods.…”

Section: In Vivo Flow Cytometrymentioning

confidence: 99%

“…In addition, invasive extraction of blood from a living organism may alter CTC parameters (e.g., signaling, epigenetic states, metabolic activities, or morphology) and prevent the long-term study of CTC properties (e.g., CTC-blood cell interactions, aggregation, rolling, or adhesion) in their natural biological environment. These problems can be solved by assessing a significantly larger volume of blood up to a patient’s entire blood volume with in vivo FC, whose principles were proposed in 2004 simultaneously by Zharov and other groups [ 33 , 34 , 35 , 36 , 37 , 38 , 39 , 40 , 41 , 42 , 43 , 44 , 45 , 46 , 47 , 48 , 49 ].…”

Section: Introductionmentioning

confidence: 99%

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

Galanzha

Zharov

2013

Cancers

110

137

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Despite progress in detecting circulating tumor cells (CTCs), existing assays still have low sensitivity (1–10 CTC/mL) due to the small volume of blood samples (5–10 mL). Consequently, they can miss up to 103–104 CTCs, resulting in the development of barely treatable metastasis. Here we analyze a new concept of in vivo CTC detection with enhanced sensitivity (up to 102–103 times) by the examination of the entire blood volume in vivo (5 L in adults). We focus on in vivo photoacoustic (PA) flow cytometry (PAFC) of CTCs using label-free or targeted detection, photoswitchable nanoparticles with ultrasharp PA resonances, magnetic trapping with fiber-magnetic-PA probes, optical clearance, real-time spectral identification, nonlinear signal amplification, and the integration with PAFC in vitro. We demonstrate PAFC’s capability to detect rare leukemia, squamous carcinoma, melanoma, and bulk and stem breast CTCs and its clusters in preclinical animal models in blood, lymph, bone, and cerebrospinal fluid, as well as the release of CTCs from primary tumors triggered by palpation, biopsy or surgery, increasing the risk of metastasis. CTC lifetime as a balance between intravasation and extravasation rates was in the range of 0.5–4 h depending on a CTC metastatic potential. We introduced theranostics of CTCs as an integration of nanobubble-enhanced PA diagnosis, photothermal therapy, and feedback through CTC counting. In vivo data were verified with in vitro PAFC demonstrating a higher sensitivity (1 CTC/40 mL) and throughput (up to 10 mL/min) than conventional assays. Further developments include detection of circulating cancer-associated microparticles, and super-resolution PAFC beyond the diffraction and spectral limits.

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“…In the last decade, the FDTD (finite difference time domain) numerical method [14][15][16] has been used by several research groups in order to simulate the light scattering pattern from biological cells [17,18]. Recent example is the work of Tanev et al who used FDTD to simulate the interaction of light with cellular structures [19] and applications for flow cell cytometry [20]. The discrete set of equations can be solved using numerical methods, to give the resulting distribution of electromagnetic fields in the cell and in its close vicinity.…”

Section: International Journal Of Opticsmentioning

confidence: 99%

Multilayer Mie Scattering Model for Investigation of Intracellular Structural Changes in the Nucleolus and Cytoplasm

Saltsberger

Steinberg

Gannot

2012

International Journal of Optics

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Light scattering from biological cells has been used for many years as a diagnostic tool. Several simulation methods of the scattering process were developed in the last decades in order to understand and predict the scattering patterns. We developed an analytical model of a multilayer spherical scattering cell. Here, we describe the model and show that the results obtained within this simple method are similar to those obtained with far more complicated methods such as finite-difference time-domain (FDTD). The multilayer model is then used to study the effects of changes in the distribution of internal cell structures like mitochondria distribution or nucleus internal structures that exist in biological cells. Such changes are related with cancerous processes within the cell as well as other cell pathologies. Results show the ability to discriminate between different cell stages related to the mitochondria distributions and to internal structure of the nucleolus.

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Optical Imaging of Cells with Gold Nanoparticle Clusters as Light Scattering Contrast Agents: A Finite‐Difference Time‐Domain Approach to the Modeling of Flow Cytometry Configurations

Cited by 3 publications

References 39 publications

In vivo flow cytometry: A horizon of opportunities

In vivo flow cytometry: A horizon of opportunities

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

Multilayer Mie Scattering Model for Investigation of Intracellular Structural Changes in the Nucleolus and Cytoplasm

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