scholarly journals Synthesis and characterization of near-infrared-emitting CdHgTe/CdS/ZnS quantum dots capped by N-acetyl-l-cysteine for in vitro and in vivo imaging

RSC Advances ◽  
2017 ◽  
Vol 7 (48) ◽  
pp. 29998-30007 ◽  
Author(s):  
Xijing Liu ◽  
Peijiang Zhou ◽  
Hongju Zhan ◽  
Hongyu Liu ◽  
Jianwei Zhang ◽  
...  
Keyword(s):  
Quantum Dots ◽  
In Vivo Imaging ◽  
Near Infrared ◽  
Synthesis And Characterization

In this article, highly photoluminescent near-infrared (NIR)-emitting quantum dots (QDs) were directly synthesized in water by a fast, inexpensive and facile method.

Synthesis and Characterization of Near-Infrared Cu−In−Se/ZnS Core/Shell Quantum Dots for In vivo Imaging

2010 ◽  
Vol 22 (22) ◽  
pp. 6117-6124 ◽  
Author(s):  
E. Cassette ◽  
T. Pons ◽  
C. Bouet ◽  
M. Helle ◽  
L. Bezdetnaya ◽  
...  
Keyword(s):  
Quantum Dots ◽  
In Vivo Imaging ◽  
Near Infrared ◽  
Synthesis And Characterization ◽  
Core Shell

Water-Dispersed Near-Infrared-Emitting Quantum Dots of Ultrasmall Sizes for In Vitro and In Vivo Imaging

2011 ◽  
Vol 123 (25) ◽  
pp. 5813-5816 ◽  
Author(s):  
Yao He ◽  
Yiling Zhong ◽  
Yuanyuan Su ◽  
Yimei Lu ◽  
Ziyun Jiang ◽  
...  
Keyword(s):  
Quantum Dots ◽  
In Vivo Imaging ◽  
Near Infrared

Water-Dispersed Near-Infrared-Emitting Quantum Dots of Ultrasmall Sizes for In Vitro and In Vivo Imaging

2011 ◽  
Vol 50 (25) ◽  
pp. 5695-5698 ◽  
Author(s):  
Yao He ◽  
Yiling Zhong ◽  
Yuanyuan Su ◽  
Yimei Lu ◽  
Ziyun Jiang ◽  
...  
Keyword(s):  
Quantum Dots ◽  
In Vivo Imaging ◽  
Near Infrared

scholarly journals Molecular imaging and deep learning analysis of uMUC1 expression in response to chemotherapy in an orthotopic model of ovarian cancer

2020 ◽  
Vol 10 (1) ◽  
Author(s):  
Hongwei Zhao ◽  
Hasaan Hayat ◽  
Xiaohong Ma ◽  
Daguang Fan ◽  
Ping Wang ◽  
...  
Keyword(s):  
Neural Networks ◽  
Ovarian Cancer ◽  
Deep Learning ◽  
Cancer Progression ◽  
In Vivo Imaging ◽  
Near Infrared ◽  
Response To Therapy ◽  
Response To Chemotherapy

Abstract Artificial Intelligence (AI) algorithms including deep learning have recently demonstrated remarkable progress in image-recognition tasks. Here, we utilized AI for monitoring the expression of underglycosylated mucin 1 (uMUC1) tumor antigen, a biomarker for ovarian cancer progression and response to therapy, using contrast-enhanced in vivo imaging. This was done using a dual-modal (magnetic resonance and near infrared optical imaging) uMUC1-specific probe (termed MN-EPPT) consisted of iron-oxide magnetic nanoparticles (MN) conjugated to a uMUC1-specific peptide (EPPT) and labeled with a near-infrared fluorescent dye, Cy5.5. In vitro studies performed in uMUC1-expressing human ovarian cancer cell line SKOV3/Luc and control uMUC1low ES-2 cells showed preferential uptake on the probe by the high expressor (n = 3, p < .05). A decrease in MN-EPPT uptake by SKOV3/Luc cells in vitro due to uMUC1 downregulation after docetaxel therapy was paralleled by in vivo imaging studies that showed a reduction in probe accumulation in the docetaxel treated group (n = 5, p < .05). The imaging data were analyzed using deep learning-enabled segmentation and quantification of the tumor region of interest (ROI) from raw input MRI sequences by applying AI algorithms including a blend of Convolutional Neural Networks (CNN) and Fully Connected Neural Networks. We believe that the algorithms used in this study have the potential to improve studying and monitoring cancer progression, amongst other diseases.

scholarly journals Extending the Near-Infrared Emission Range of Indium Phosphide Quantum Dots for Multiplexed In Vivo Imaging

Nano Letters ◽  
2021 ◽  
Author(s):  
Alexander M. Saeboe ◽  
Alexey Yu. Nikiforov ◽  
Reyhaneh Toufanian ◽  
Joshua C. Kays ◽  
Margaret Chern ◽  
...  
Keyword(s):  
Quantum Dots ◽  
Indium Phosphide ◽  
In Vivo Imaging ◽  
Near Infrared ◽  
Infrared Emission ◽  
Near Infrared Emission

scholarly journals PEGylated Phospholipid Micelle-Encapsulated Near-Infrared PbS Quantum Dots for in vitro and in vivo Bioimaging

Theranostics ◽  
2012 ◽  
Vol 2 (7) ◽  
pp. 723-733 ◽  
Author(s):  
Rui Hu ◽  
Wing-Cheung Law ◽  
Guimiao Lin ◽  
Ling Ye ◽  
Jianwei Liu ◽  
...  
Keyword(s):  
Quantum Dots ◽  
Near Infrared ◽  
Pbs Quantum Dots

scholarly journals Synthesis, Properties and Bioimaging Applications of Silver-Based Quantum Dots

2021 ◽  
Vol 22 (22) ◽  
pp. 12202
Author(s):  
Mariya Borovaya ◽  
Inna Horiunova ◽  
Svitlana Plokhovska ◽  
Nadia Pushkarova ◽  
Yaroslav Blume ◽  
...  
Keyword(s):  
Quantum Dots ◽  
Near Infrared ◽  
Semiconductor Nanocrystals ◽  
Current Status ◽  
Synthesis Properties ◽  
Semiconductor Nanomaterials ◽  
Electrooptical Properties ◽  
Basic Features

Ag-based quantum dots (QDs) are semiconductor nanomaterials with exclusive electrooptical properties ideally adaptable for various biotechnological, chemical, and medical applications. Silver-based semiconductor nanocrystals have developed rapidly over the past decades. They have become a promising luminescent functional material for in vivo and in vitro fluorescent studies due to their ability to emit at the near-infrared (NIR) wavelength. In this review, we discuss the basic features of Ag-based QDs, the current status of classic (chemical) and novel methods (“green” synthesis) used to produce these QDs. Additionally, the advantages of using such organisms as bacteria, actinomycetes, fungi, algae, and plants for silver-based QDs biosynthesis have been discussed. The application of silver-based QDs as fluorophores for bioimaging application due to their fluorescence intensity, high quantum yield, fluorescent stability, and resistance to photobleaching has also been reviewed.

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