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Chen F, Si P, de la Zerda A, Jokerst JV, Myung D. Gold nanoparticles to enhance ophthalmic imaging. Biomater Sci 2021; 9:367-390. [PMID: 33057463 PMCID: PMC8063223 DOI: 10.1039/d0bm01063d] [Citation(s) in RCA: 26] [Impact Index Per Article: 8.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
Abstract
The use of gold nanoparticles as diagnostic tools is burgeoning, especially in the cancer community with a focus on theranostic applications to both cancer diagnosis and treatment. Gold nanoparticles have also demonstrated great potential for use in diagnostic and therapeutic approaches in ophthalmology. Although many ophthalmic imaging modalities are available, there is still a considerable unmet need, in particular for ophthalmic molecular imaging for the early detection of eye disease before morphological changes are more grossly visible. An understanding of how gold nanoparticles are leveraged in other fields could inform new ways they could be utilized in ophthalmology. In this paper, we review current ophthalmic imaging techniques and then identify optical coherence tomography (OCT) and photoacoustic imaging (PAI) as the most promising technologies amenable to the use of gold nanoparticles for molecular imaging. Within this context, the development of gold nanoparticles as OCT and PAI contrast agents are reviewed, with the most recent developments described in detail.
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Affiliation(s)
- Fang Chen
- Mary M. and Sash A. Spencer Center for Vision Research, Byers Eye Institute, Department of Ophthalmology, Stanford University, CA 94305, USA.
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SoRelle ED, Yecies DW, Liba O, Bennett FC, Graef CM, Dutta R, Mitra S, Joubert LM, Cheshier S, Grant GA, de la Zerda A. Spatiotemporal Tracking of Brain-Tumor-Associated Myeloid Cells in Vivo through Optical Coherence Tomography with Plasmonic Labeling and Speckle Modulation. ACS NANO 2019; 13:7985-7995. [PMID: 31259527 PMCID: PMC8144904 DOI: 10.1021/acsnano.9b02656] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/18/2023]
Abstract
By their nature, tumors pose a set of profound challenges to the immune system with respect to cellular recognition and response coordination. Recent research indicates that leukocyte subpopulations, especially tumor-associated macrophages (TAMs), can exert substantial influence on the efficacy of various cancer immunotherapy treatment strategies. To better study and understand the roles of TAMs in determining immunotherapeutic outcomes, significant technical challenges associated with dynamically monitoring single cells of interest in relevant live animal models of solid tumors must be overcome. However, imaging techniques with the requisite combination of spatiotemporal resolution, cell-specific contrast, and sufficient signal-to-noise at increasing depths in tissue are exceedingly limited. Here we describe a method to enable high-resolution, wide-field, longitudinal imaging of TAMs based on speckle-modulating optical coherence tomography (SM-OCT) and spectral scattering from an optimized contrast agent. The approach's improvements to OCT detection sensitivity and noise reduction enabled high-resolution OCT-based observation of individual cells of a specific host lineage in live animals. We found that large gold nanorods (LGNRs) that exhibit a narrow-band, enhanced scattering cross-section can selectively label TAMs and activate microglia in an in vivo orthotopic murine model of glioblastoma multiforme. We demonstrated near real-time tracking of the migration of cells within these myeloid subpopulations. The intrinsic spatiotemporal resolution, imaging depth, and contrast sensitivity reported herein may facilitate detailed studies of the fundamental behaviors of TAMs and other leukocytes at the single-cell level in vivo, including intratumoral distribution heterogeneity and roles in modulating cancer proliferation.
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Affiliation(s)
- Elliott Daniel SoRelle
- Department of Structural Biology, Stanford University, 299 Campus Dr., Stanford, CA 94305, USA
- Biophysics Program, Stanford University, 299 Campus Dr., Stanford, CA 94305, USA
- Molecular Imaging Program (MIPS), Stanford University, 299 Campus Dr., Stanford, CA 94305, USA
- Bio-X Program, Stanford University, 299 Campus Dr., Stanford, CA 94305, USA
| | - Derek William Yecies
- Department of Structural Biology, Stanford University, 299 Campus Dr., Stanford, CA 94305, USA
- Department of Neurosurgery, Division of Pediatric Neurosurgery, Stanford University, 299 Campus Dr., Stanford, CA 94305, USA
| | - Orly Liba
- Department of Structural Biology, Stanford University, 299 Campus Dr., Stanford, CA 94305, USA
- Molecular Imaging Program (MIPS), Stanford University, 299 Campus Dr., Stanford, CA 94305, USA
- Bio-X Program, Stanford University, 299 Campus Dr., Stanford, CA 94305, USA
- Department of Electrical Engineering, Stanford University, 299 Campus Dr., Stanford, CA 94305, USA
| | | | - Claus Moritz Graef
- Department of Neurosurgery, Division of Pediatric Neurosurgery, Stanford University, 299 Campus Dr., Stanford, CA 94305, USA
| | - Rebecca Dutta
- Department of Structural Biology, Stanford University, 299 Campus Dr., Stanford, CA 94305, USA
- Molecular Imaging Program (MIPS), Stanford University, 299 Campus Dr., Stanford, CA 94305, USA
- Bio-X Program, Stanford University, 299 Campus Dr., Stanford, CA 94305, USA
| | - Siddhartha Mitra
- Department of Neurosurgery, Division of Pediatric Neurosurgery, Stanford University, 299 Campus Dr., Stanford, CA 94305, USA
- Institute for Stem Cell Biology and Regenerative Medicine and the Ludwig Cancer Center, Stanford University, 299 Campus Dr., Stanford, CA 94305, USA
| | - Lydia-Marie Joubert
- Cell Sciences Imaging Facility, Stanford University, 299 Campus Dr., Stanford, CA 94305, USA
| | - Samuel Cheshier
- Department of Neurosurgery, Division of Pediatric Neurosurgery, Stanford University, 299 Campus Dr., Stanford, CA 94305, USA
- Institute for Stem Cell Biology and Regenerative Medicine and the Ludwig Cancer Center, Stanford University, 299 Campus Dr., Stanford, CA 94305, USA
| | - Gerald A. Grant
- Department of Neurosurgery, Division of Pediatric Neurosurgery, Stanford University, 299 Campus Dr., Stanford, CA 94305, USA
- Institute for Stem Cell Biology and Regenerative Medicine and the Ludwig Cancer Center, Stanford University, 299 Campus Dr., Stanford, CA 94305, USA
| | - Adam de la Zerda
- Department of Structural Biology, Stanford University, 299 Campus Dr., Stanford, CA 94305, USA
- Biophysics Program, Stanford University, 299 Campus Dr., Stanford, CA 94305, USA
- Molecular Imaging Program (MIPS), Stanford University, 299 Campus Dr., Stanford, CA 94305, USA
- Bio-X Program, Stanford University, 299 Campus Dr., Stanford, CA 94305, USA
- Department of Electrical Engineering, Stanford University, 299 Campus Dr., Stanford, CA 94305, USA
- The Chan Zuckerberg Biohub, 499 Illinois St., San Francisco, CA 94158, USA
- To whom correspondence should be addressed:
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Israelsen NM, Maria M, Mogensen M, Bojesen S, Jensen M, Haedersdal M, Podoleanu A, Bang O. The value of ultrahigh resolution OCT in dermatology - delineating the dermo-epidermal junction, capillaries in the dermal papillae and vellus hairs. BIOMEDICAL OPTICS EXPRESS 2018; 9:2240-2265. [PMID: 29760984 PMCID: PMC5946785 DOI: 10.1364/boe.9.002240] [Citation(s) in RCA: 23] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/22/2018] [Revised: 03/08/2018] [Accepted: 03/14/2018] [Indexed: 05/13/2023]
Abstract
Optical coherence tomography (OCT) imaging of the skin is gaining recognition and is increasingly applied to dermatological research. A key dermatological parameter inferred from an OCT image is the epidermal (Ep) thickness as a thickened Ep can be an indicator of a skin disease. Agreement in the literature on the signal characters of Ep and the subjacent skin layer, the dermis (D), is evident. Ambiguities of the OCT signal interpretation in the literature is however seen for the transition region between the Ep and D, which from histology is known as the dermo-epidermal junction (DEJ); a distinct junction comprised of the lower surface of a single cell layer in epidermis (the stratum basale) connected to an even thinner membrane (the basement membrane). The basement membrane is attached to the underlying dermis. In this work we investigate the impact of an improved axial and lateral resolution on the applicability of OCT for imaging of the skin. To this goal, OCT images are compared produced by a commercial OCT system (Vivosight from Michaelson Diagnostics) and by an in-house built ultrahigh resolution (UHR-) OCT system for dermatology. In 11 healthy volunteers, we investigate the DEJ signal characteristics. We perform a detailed analysis of the dark (low) signal band clearly seen for UHR-OCT in the DEJ region where we, by using a transition function, find the signal transition of axial sub-resolution character, which can be directly attributed to the exact location of DEJ, both in normal (thin/hairy) and glabrous (thick) skin. To our knowledge no detailed delineating of the DEJ in the UHR-OCT image has previously been reported, despite many publications within this field. For selected healthy volunteers, we investigate the dermal papillae and the vellus hairs and identify distinct features that only UHR-OCT can resolve. Differences are seen in tracing hairs of diameter below 20 μm, and in imaging the dermal papillae where, when utilising the UHR-OCT, capillary structures are identified in the hand palm, not previously reported in OCT studies and specifically for glabrous skin not reported in any other in vivo optical imaging studies.
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Affiliation(s)
| | - Michael Maria
- Technical University of Denmark, DTU Fotonik, Kongens Lyngby, 2800,
Denmark
- University of Kent, School of Physical Sciences, Canterbury, Kent,
England, CT2 7NZ
| | - Mette Mogensen
- Department of Dermatology, Bisbebjerg Hospital, University of Copenhagen, Bispebjerg Bakke 23, DK-2400 Copenhagen NV,
Denmark
| | - Sophie Bojesen
- Department of Dermatology, Bisbebjerg Hospital, University of Copenhagen, Bispebjerg Bakke 23, DK-2400 Copenhagen NV,
Denmark
| | - Mikkel Jensen
- Technical University of Denmark, DTU Fotonik, Kongens Lyngby, 2800,
Denmark
| | - Merete Haedersdal
- Department of Dermatology, Bisbebjerg Hospital, University of Copenhagen, Bispebjerg Bakke 23, DK-2400 Copenhagen NV,
Denmark
| | - Adrian Podoleanu
- University of Kent, School of Physical Sciences, Canterbury, Kent,
England, CT2 7NZ
| | - Ole Bang
- Technical University of Denmark, DTU Fotonik, Kongens Lyngby, 2800,
Denmark
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Zhang M, Ma L, Yu P. Spatial convolution for mirror image suppression in Fourier domain optical coherence tomography. OPTICS LETTERS 2017; 42:506-509. [PMID: 28146513 DOI: 10.1364/ol.42.000506] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/06/2023]
Abstract
We developed a spatial convolution approach for mirror image suppression in phase-modulated Fourier domain optical coherence tomography, and demonstrated it in vivo for small animal imaging. Utilizing the correlation among neighboring A-scans, the mirror image suppression process was simplified to a three-parameter convolution. By adjusting the three parameters, we can implement different Fourier domain sideband windows, which is important but complicated in existing approaches. By properly selecting the window size, we validated the spatial convolution approach on both simulated and experimental data, and showed that it is versatile, fast, and effective. The new approach reduced the computational cost by 32% and improved the mirror image suppression by 10%. We adapted the spatial convolution approach to a GPU accelerated system for ultrahigh-speed processing in 0.1 ms. The advantage of the ultrahigh speed was demonstrated in vivo for small animal imaging in a mouse model. The fast scanning and processing speed removed respiratory motion artifacts in the in vivo imaging.
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Yu L, Kang J, Jinata C, Wang X, Wei X, Chan KT, Lee NP, Wong KKY. Tri-band spectroscopic optical coherence tomography based on optical parametric amplification for lipid and vessel visualization. JOURNAL OF BIOMEDICAL OPTICS 2015; 20:126006. [PMID: 26677071 DOI: 10.1117/1.jbo.20.12.126006] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/10/2015] [Accepted: 11/12/2015] [Indexed: 06/05/2023]
Abstract
A tri-band spectroscopic optical coherence tomography (SOCT) system has been implemented for visualization of lipid and blood vessel distribution. The tri-band swept source, which covers output spectrum in 1.3, 1.5, and 1.6 μm wavelength windows, is based on a dual-band Fourier domain mode-locked laser and a fiber optical parametric amplifier. This tri-band SOCT can further differentiate materials, e.g., lipid and artery, qualitatively by contrasting attenuation coefficients difference within any two of these bands. Furthermore, ex vivo imaging of both porcine artery with artificial lipid plaque phantom and mice with coronary artery disease were demonstrated to showcase the capability of our SOCT.
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Affiliation(s)
- Luoqin Yu
- The University of Hong Kong, Photonic Systems Research Laboratory, Department of Electrical and Electronic Engineering, Pokfulam Road, Hong Kong, China
| | - Jiqiang Kang
- The University of Hong Kong, Photonic Systems Research Laboratory, Department of Electrical and Electronic Engineering, Pokfulam Road, Hong Kong, China
| | - Chandra Jinata
- The University of Hong Kong, Photonic Systems Research Laboratory, Department of Electrical and Electronic Engineering, Pokfulam Road, Hong Kong, China
| | - Xie Wang
- The University of Hong Kong, Photonic Systems Research Laboratory, Department of Electrical and Electronic Engineering, Pokfulam Road, Hong Kong, China
| | - Xiaoming Wei
- The University of Hong Kong, Photonic Systems Research Laboratory, Department of Electrical and Electronic Engineering, Pokfulam Road, Hong Kong, China
| | - Kin Tak Chan
- The University of Hong Kong, Department of Surgery, Hong Kong, Pokfulam Road, Hong Kong, China
| | - Nikki P Lee
- The University of Hong Kong, Department of Surgery, Hong Kong, Pokfulam Road, Hong Kong, China
| | - Kenneth K Y Wong
- The University of Hong Kong, Photonic Systems Research Laboratory, Department of Electrical and Electronic Engineering, Pokfulam Road, Hong Kong, China
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