Photophysical properties of indocyanine green in the shortwave infrared region

ChemPhotoChem ◽  
2021 ◽  
Author(s):  
Emily D. Cosco ◽  
Irene Lim ◽  
Ellen May Sletten
Keyword(s):  
Indocyanine Green ◽  
Photophysical Properties ◽  
Infrared Region ◽  
Shortwave Infrared

scholarly journals Shortwave Infrared Fluorescence Imaging with the Clinically Approved Near-Infrared Dye Indocyanine Green

2017 ◽  
Author(s):  
Jessica A. Carr ◽  
Daniel Franke ◽  
Justin R. Caram ◽  
Collin F. Perkinson ◽  
Vasileios Askoxylakis ◽  
...  
Keyword(s):  
Indocyanine Green ◽  
Real Time ◽  
Fluorescence Imaging ◽  
Near Infrared ◽  
Infrared Region ◽  
Fluorescence Angiography ◽  
Nir Fluorescence ◽  
Near Infrared Dye ◽  
Shortwave Infrared

AbstractFluorescence imaging is a method of real-time molecular tracking in vivo that has enabled many clinical technologies. Imaging in the shortwave infrared region (SWIR, 1-2 μm) promises higher contrast, sensitivity, and penetration depths compared to conventional visible and near-infrared (NIR) fluorescence imaging. However, adoption of SWIR imaging in clinical settings has been limited, due in part to the absence of FDA-approved fluorophores with peak emission in the SWIR. Here, we show that commercially available NIR dyes, including the FDA-approved contrast agent indocyanine green (ICG), exhibit optical properties suitable for in vivo SWIR fluorescence imaging. Despite the fact that their emission reaches a maximum in the NIR, these dyes can be imaged non-invasively in vivo in the SWIR spectral region, even beyond 1500 nm. We demonstrate real-time fluorescence angiography at wavelengths beyond 1300 nm using ICG at clinically relevant doses. Furthermore, we show tumortargeted SWIR imaging with trastuzumab labeled with IRDye 800CW, a NIR dye currently being tested in multiple phase II clinical trials. Our findings suggest that high-contrast SWIR fluorescence imaging can be implemented alongside existing imaging modalities by switching the detection of conventional NIR fluorescence systems from silicon-based NIR cameras to emerging indium gallium arsenide (InGaAs) SWIR cameras. Using ICG in particular opens the possibility of translating SWIR fluorescence imaging to human clinical applications.

Two-Dimensional Near-Infrared and Shortwave Infrared Molecular Aggregates: Taking Kasha’s Model to the Next Dimension

2019 ◽  
Author(s):  
Arundhati Deshmukh ◽  
Danielle Koppel ◽  
Chern Chuang ◽  
Danielle Cadena ◽  
Jianshu Cao ◽  
...  
Keyword(s):  
Near Infrared ◽  
Photophysical Properties ◽  
Satellite Telemetry ◽  
Transition Dipole Moment ◽  
Short Wave ◽  
Tissue Imaging ◽  
Transition Dipole ◽  
Deep Tissue Imaging ◽  
Excitonic States ◽  
Shortwave Infrared

Technologies which utilize near-infrared (700 – 1000 nm) and short-wave infrared (1000 – 2000 nm) electromagnetic radiation have applications in deep-tissue imaging, telecommunications and satellite telemetry due to low scattering and decreased background signal in this spectral region. However, there are few molecular species, which absorb efficiently beyond 1000 nm. Transition dipole moment coupling (e.g. J-aggregation) allows for redshifted excitonic states and provides a pathway to highly absorptive electronic states in the infrared. We present aggregates of two cyanine dyes whose absorption peaks redshift dramatically upon aggregation in water from ~ 800 nm to 1000 nm and 1050 nm with sheet-like morphologies and high molar absorptivities (e ~ 10<sup>5 </sup>M<sup>-1</sup>cm<sup>-1</sup>). To describe this phenomenology, we extend Kasha’s model for J- and H-aggregation to describe the excitonic states of <i> 2-dimensional aggregates</i> whose slip is controlled by steric hindrance in the assembled structure. A consequence of the increased dimensionality is the phenomenon of an <i>intermediate </i>“I-aggregate”, one which redshifts yet displays spectral signatures of band-edge dark states akin to an H-aggregate. We distinguish between H-, I- and J-aggregates by showing the relative position of the bright (absorptive) state within the density of states using temperature dependent spectroscopy. Our results can be used to better design chromophores with predictable and tunable aggregation with new photophysical properties.

scholarly journals Design and characterization of specMACS, a multipurpose hyperspectral cloud and sky imager

2016 ◽  
Vol 9 (5) ◽  
pp. 2015-2042 ◽  
Author(s):  
Florian Ewald ◽  
Tobias Kölling ◽  
Andreas Baumgartner ◽  
Tobias Zinner ◽  
Bernhard Mayer
Keyword(s):  
Software Design ◽  
Infrared Region ◽  
Central Wavelength ◽  
Laboratory Characterization ◽  
Research Aircraft ◽  
Sky Imager ◽  
Remote Sensing Techniques ◽  
Shortwave Infrared

Abstract. The new spectrometer of the Munich Aerosol Cloud Scanner (specMACS) is a multipurpose hyperspectral cloud and sky imager designated, but is not limited to investigations of cloud–aerosol interactions in Earth's atmosphere. With its high spectral and spatial resolution, the instrument is designed to measure solar radiation in the visible and shortwave infrared region that is reflected from, or transmitted through clouds and aerosol layers. It is based on two hyperspectral cameras that measure in the solar spectral range between 400 and 2500 nm with a spectral bandwidth between 2.5 and 12.0 nm. The instrument was operated in ground-based campaigns as well as aboard the German High Altitude LOng Range (HALO) research aircraft, e.g., during the ACRIDICON-CHUVA campaign in Brazil during summer 2014. This paper describes the specMACS instrument hardware and software design and characterizes the instrument performance. During the laboratory characterization of the instrument, the radiometric response as well as the spatial and spectral resolution was assessed. Since the instrument is primarily intended for retrievals of atmospheric quantities by inversion of radiative models using measured radiances, a focus is placed on the determination of its radiometric response. Radiometric characterization was possible for both spectrometers, with an absolute accuracy of 3 % at their respective central wavelength regions. First measurements are presented which demonstrate the wide applicability of the instrument. They show that key demands are met regarding the radiometric and spectral accuracy which is required for the intended remote sensing techniques.

3D Ln–Organic Frameworks Featuring Lantern-Shaped Dihelicate Chains: Synthesis and Magnetic and Photophysical Properties

2016 ◽  
Vol 69 (9) ◽  
pp. 1062 ◽  
Author(s):  
Shengyun Liao ◽  
Peiyao Du ◽  
Yanping Zhang ◽  
Xin Fu ◽  
Wen Gu ◽  
...  
Keyword(s):  
Near Infrared ◽  
Hydrothermal Reaction ◽  
Photophysical Properties ◽  
Metal Organic Framework ◽  
Visible Region ◽  
Infrared Region ◽  
X Ray Diffraction ◽  
Topological Network ◽  
Metal Organic

The in situ hydrothermal reaction of rare earth nitrate (Ln(NO3)3), 5-(4-carboxyl-1H-1,2,3-triazol-1-yl) isophthalic acid (H3ctia), and (NH4)2C2O4 resulted in the formation of a series of 3D 4f coordination polymers ([Ln(tia)(C2O4)0.5(H2O)]) (Ln = Nd (1), Sm (2), Eu (3), Gd (4), Tb (5), Dy (6), and tia2– = 5-(1H-1,2,3-triazol-1-yl) isophthalate). The results of single crystal X-ray diffraction reveal that the dinuclear lantern sub-building units ([Ln2(CO2)4]2+) are linked by C2O42– to form dihelicate chains, which are connected by tia2– to afford a novel 3D metal–organic framework with an unordinary 3-nodal (2,3,8)-connected topological network with the Schläfli symbol of {4.62}2{42.616.89.10}{6}. Complexes 2, 3, 5, and 6 exhibit strong fluorescent emissions in the visible region and complexes 1, 2, and 6 show characteristic fluorescent emissions in the near-infrared region. In addition, the magnetic properties of complexes 4, 5, and 6 were also investigated.

scholarly journals FIELD SPECTROSCOPY FOR VEGETATION EVALUATION ALONG THE NUTRIENT AND ELEVATION GRADIENT ABOVE THE TREE LINE IN THE KRKONOŠE MOUNTAINS NATIONAL PARK

2016 ◽  
Vol XLI-B6 ◽  
pp. 211-214
Author(s):  
L. Červená ◽  
L. Kupková ◽  
R. Suchá
Keyword(s):  
Plant Cover ◽  
Elevation Gradient ◽  
Vegetation Indices ◽  
Infrared Region ◽  
Spectral Measurements ◽  
Vegetation Height ◽  
Vegetation Water Content ◽  
Red Edge ◽  
Vegetation Water ◽  
Shortwave Infrared

This paper examines the relations between vegetation spectra measured in the field along the nutrient and elevation gradient in the most valuable parts of The Krkonoše Mountains tundra and selected parameters describing vegetation state and condition (fAPAR, plant cover and average vegetation height). The main goal was to find relations and indices based on spectral measurements that could be used for vegetation evaluation and classification in practice and management. The vegetation parameters and spectral properties were also compared for two datasets – one acquired in July and second in August 2015. The best correlations were obtained for plant cover (R<sup>2</sup> above 0.8 for July dataset and above 0.7 for August dataset) and two types of indices – using the wavelengths of red edge, e.g. OSAVI or mND705, and indices for vegetation water content estimates using the wavelengths in shortwave infrared region of the spectra in combination with wavelengths above 800 nm, e. g. NDII. The worst results were found for fAPAR with maximal values of R<sup>2</sup> just above 0.4 with the indices using the wavelengths around 700 nm. For vegetation height the results differ between July and August data – R<sup>2</sup> around 0.62 in July and only 0.47 in August for vegetation indices using the wavelengths of visible and red edge regions.

Synthesis and Photophysical Properties of a Photoelectrochromic Polymer Containing the bis(2-(4-Pyridiniumyl)thiazole) Chromophore

2009 ◽  
Vol 62 (8) ◽  
pp. 871 ◽  
Author(s):  
Toshihiko Nagamura ◽  
Yasuhiro Sota
Keyword(s):  
Electron Transfer ◽  
Near Infrared ◽  
Transient Absorption ◽  
Photophysical Properties ◽  
Colour Change ◽  
Infrared Region ◽  
Electron Transfer Reaction ◽  
Back Electron Transfer ◽  
Spin Resonance ◽  
Photoinduced Electron Transfer Reaction

A new polymer and small molecules containing the chromophore bis(2-(4-pyridiniumyl)thiazole) were synthesized. Their tetraphenylborate salts showed absorption spectral changes in the visible to near-infrared region accompanying a colour change from yellow to green on steady photoirradiation. From electron spin resonance measurements and comparison with Molecular Orbital PACkage (MOPAC) calculations, this was assigned to the formation of bis(2-(4-pyridiniumyl)thiazole) radicals due to a photoinduced electron-transfer reaction from tetraphenylborate and decomposition of its oxidized form. Transient absorption spectra corresponding to those of tetraphenylborate salts were observed for bromide salts on femtosecond laser excitation of the polymer in solid films and solutions. The fastest decay of transient absorption due to back electron transfer was less than 1 picosecond.

scholarly journals Shortwave infrared otoscopy for diagnosis of middle ear effusions: a machine-learning-based approach

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Rustin G. Kashani ◽  
Marcel C. Młyńczak ◽  
David Zarabanda ◽  
Paola Solis-Pazmino ◽  
David M. Huland ◽  
...  
Keyword(s):  
Machine Learning ◽  
Otitis Media ◽  
Middle Ear ◽  
Infrared Region ◽  
Common Disease ◽  
Specificity And Sensitivity ◽  
Traditional Approaches ◽  
Shortwave Infrared ◽  
Made In

AbstractOtitis media, a common disease marked by the presence of fluid within the middle ear space, imparts a significant global health and economic burden. Identifying an effusion through the tympanic membrane is critical to diagnostic success but remains challenging due to the inherent limitations of visible light otoscopy and user interpretation. Here we describe a powerful diagnostic approach to otitis media utilizing advancements in otoscopy and machine learning. We developed an otoscope that visualizes middle ear structures and fluid in the shortwave infrared region, holding several advantages over traditional approaches. Images were captured in vivo and then processed by a novel machine learning based algorithm. The model predicts the presence of effusions with greater accuracy than current techniques, offering specificity and sensitivity over 90%. This platform has the potential to reduce costs and resources associated with otitis media, especially as improvements are made in shortwave imaging and machine learning.

scholarly journals INVESTIGATION OF LATENT TRACES USING INFRARED REFLECTANCE HYPERSPECTRAL IMAGING

2016 ◽  
Vol III-7 ◽  
pp. 97-102
Author(s):  
Till Schubert ◽  
Susanne Wenzel ◽  
Ribana Roscher ◽  
Cyrill Stachniss
Keyword(s):  
Hyperspectral Imaging ◽  
Spatial Relation ◽  
Potential Method ◽  
Infrared Region ◽  
Classification Task ◽  
Light Sources ◽  
Main Task ◽  
Distributed Data ◽  
Reduction Methods ◽  
Shortwave Infrared

The detection of traces is a main task of forensics. Hyperspectral imaging is a potential method from which we expect to capture more fluorescence effects than with common forensic light sources. This paper shows that the use of hyperspectral imaging is suited for the analysis of latent traces and extends the classical concept to the conservation of the crime scene for retrospective laboratory analysis. We examine specimen of blood, semen and saliva traces in several dilution steps, prepared on cardboard substrate. As our key result we successfully make latent traces visible up to dilution factor of 1:8000. We can attribute most of the detectability to interference of electromagnetic light with the water content of the traces in the shortwave infrared region of the spectrum. In a classification task we use several dimensionality reduction methods (PCA and LDA) in combination with a Maximum Likelihood classifier, assuming normally distributed data. Further, we use Random Forest as a competitive approach. The classifiers retrieve the exact positions of labelled trace preparation up to highest dilution and determine posterior probabilities. By modelling the classification task with a Markov Random Field we are able to integrate prior information about the spatial relation of neighboured pixel labels.

scholarly journals Aza-BODIPY Platform: Towards an Efficient Water-Soluble Bimodal Imaging Probe for MRI and Near-Infrared Fluorescence

2019 ◽  
Author(s):  
Oceane Flores ◽  
Jacques Pliquett ◽  
Laura Abad Galan ◽  
Robin Lescure ◽  
Franck Denat ◽  
...  
Keyword(s):  
Near Infrared ◽  
Water Solubility ◽  
Photophysical Properties ◽  
Aqueous Media ◽  
Infrared Region ◽  
Water Soluble ◽  
Bimodal Imaging ◽  
Nmr Study ◽  
High Relaxivity ◽  
Imaging Application

<p>In this study, an original aza-BODIPY system comprising two Gd<sup>3+</sup> complexes has been designed and synthesized for magnetic resonance imaging/optical imaging application, by functionalization of the boron center. This strategy enabled to obtain a positively-charged bimodal probe, which displays an increased water-solubility, optimized photophysical properties in the near-infrared region, and very promising relaxometric properties. The absorption and emission wavelengths are 705 and 741 nm respectively, with a quantum yield of around 10 % in aqueous media. Moreover, the system does not produce singlet oxygen upon excitation, which would be toxic for tissues. The relaxivity obtained is high at intermediate fields (16.1 mM<sup>-1</sup>.s<sup>-1</sup> at 20 MHz and 310 K) and competes with that of bigger or more rigid systems. A full relaxometric and <sup>17</sup>O NMR study and fitting of the data using the Lipari-Szabo approach showed that this high relaxivity can be explained by the size of the system and the presence of some small aggregates. These optimized photophysical and relaxometric properties highlight the potential use of such systems for future bimodal imaging studies.</p>

scholarly journals Design Principles for 2-Dimensional Molecular Aggregates using Kasha’s Model: Tunable Photophysics in Near and Shortwave Infrared

2019 ◽  
Author(s):  
Arundhati Deshmukh ◽  
Danielle Koppel ◽  
Chern Chuang ◽  
Danielle Cadena ◽  
Jianshu Cao ◽  
...  
Keyword(s):  
Near Infrared ◽  
Photophysical Properties ◽  
Satellite Telemetry ◽  
Transition Dipole Moment ◽  
Short Wave ◽  
Tissue Imaging ◽  
Transition Dipole ◽  
Deep Tissue Imaging ◽  
Excitonic States ◽  
Shortwave Infrared

Technologies which utilize near-infrared (700 – 1000 nm) and short-wave infrared (1000 – 2000 nm) electromagnetic radiation have applications in deep-tissue imaging, telecommunications and satellite telemetry due to low scattering and decreased background signal in this spectral region. It is therefore necessary to develop materials that absorb light efficiently beyond 1000 nm. Transition dipole moment coupling (e.g. J-aggregation) allows for redshifted excitonic states and provides a pathway to highly absorptive electronic states in the infrared. We present aggregates of two cyanine dyes whose absorption peaks redshift dramatically upon aggregation in water from ~800 nm to 1000 nm and 1050 nm respectively with sheet-like morphologies and high molar absorptivities (e ~ 10<sup>5 </sup>M<sup>-1</sup>cm<sup>-1</sup>). We use Frenkel exciton theory to extend Kasha’s model for J and H aggregation and describe the excitonic states of 2-dimensional aggregates whose slip is controlled by steric hindrance in the assembled structure. A consequence of the increased dimensionality is the phenomenon of an intermediate “I-aggregate”, one which redshifts yet displays spectral signatures of band-edge dark states akin to an H-aggregate. We distinguish between H-, I- and J-aggregates by showing the relative position of the bright (absorptive) state within the density of states using temperature dependent spectroscopy. I-aggregates hold potential for applications as charge injection moieties for semiconductors and donors for energy transfer in NIR and SWIR. Our results can be used to better design chromophores with predictable and tunable aggregation with new photophysical properties.

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