2020
DOI: 10.3389/fbioe.2019.00487
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Recent Progress in NIR-II Contrast Agent for Biological Imaging

Abstract: Fluorescence imaging technology has gradually become a new and promising tool for in vivo visualization detection. Because it can provide real-time sub-cellular resolution imaging results, it can be widely used in the field of biological detection and medical detection and treatment. However, due to the limited imaging depth (1-2 mm) and self-fluorescence background of tissue emitted in the visible region (400-700 nm), it fails to reveal biological complexity in deep tissues. The traditional near infrared wave… Show more

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Cited by 208 publications
(198 citation statements)
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“…In this spectral range, the absorption and scattering coefficients of biological tissues are reduced to a minimum, allowing high-contrast, high-resolution in vivo imaging at large (>1 cm) tissue depths 9 . NIR-II fluorescent materials have changed the game in preclinical imaging 10,11 , enabling high-resolution anatomical imaging 12,13 , tumor detection 14,15 , biosensing 16 , brain vasculature mapping 17,18 , image-guided genome editing 19 and surgery 20,21 , and dynamic tracking of metabolic processes 22 . NIR-II-emitting Ag 2 S nanocrystals do not contain highly toxic heavy metal ions, unlike other nanoprobes operating in this spectral range, minimizing biocompatibility concerns and making them one of the most promising systems among all currently reported NIR-II fluorophores 23,24 .…”
mentioning
confidence: 99%
“…In this spectral range, the absorption and scattering coefficients of biological tissues are reduced to a minimum, allowing high-contrast, high-resolution in vivo imaging at large (>1 cm) tissue depths 9 . NIR-II fluorescent materials have changed the game in preclinical imaging 10,11 , enabling high-resolution anatomical imaging 12,13 , tumor detection 14,15 , biosensing 16 , brain vasculature mapping 17,18 , image-guided genome editing 19 and surgery 20,21 , and dynamic tracking of metabolic processes 22 . NIR-II-emitting Ag 2 S nanocrystals do not contain highly toxic heavy metal ions, unlike other nanoprobes operating in this spectral range, minimizing biocompatibility concerns and making them one of the most promising systems among all currently reported NIR-II fluorophores 23,24 .…”
mentioning
confidence: 99%
“…The detector itself, in many cases, could be a simple complementary metal oxide semiconductor (CMOS) camera—sometimes one that is integrated into a smartphone [ 22 , 23 ], thus significantly reducing the device cost. Optical biosensors that emit signals in the near-infrared (NIR) region are of particular interest in the biomedical field, as NIR wavelengths are less absorbed and scattered in biological tissues compared to visible wavelengths [ 24 ].…”
Section: Introductionmentioning
confidence: 99%
“…Optical imaging provides excellent sensitivity, with the ability to image at molecular resolution ( Wang et al, 2015 ). However, in vivo optical imaging is limited due to a shallow millimeter-scale depth of penetration and tissue autofluorescence in the visible spectrum (λ = 400–700 nm) ( Cao et al, 2019 ). Previously, we have addressed this shortcoming of optical imaging through the use of rare earth (Re)-doped ceramic nanoprobes that emit shortwave infrared (SWIR) light (λ = 1000–1700 nm) following excitation by a 980 nm source ( Naczynski et al, 2010 ).…”
Section: Introductionmentioning
confidence: 99%
“…Previously, we have addressed this shortcoming of optical imaging through the use of rare earth (Re)-doped ceramic nanoprobes that emit shortwave infrared (SWIR) light (λ = 1000–1700 nm) following excitation by a 980 nm source ( Naczynski et al, 2010 ). SWIR, also referred to as the second optical window of near infrared light (NIR-II), can penetrate deeper into tissue because of lower absorbance than visible light ( Cao et al, 2019 ). Furthermore, reduced scattering and autofluorescence compared to both visible and NIR-I wavelengths (λ = 700–1000 nm) results in significantly improved signal-to-noise ratios without a loss of spatial resolution ( Cao et al, 2019 ).…”
Section: Introductionmentioning
confidence: 99%
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