scholarly journals Far-red/near-infrared fluorescence light-up probes for specific in vitro and in vivo imaging of a tumour-related protein

2016 ◽  
Vol 6 (1) ◽  
Author(s):  
Chao Chen ◽  
Yongquan Hua ◽  
Yawen Hu ◽  
Yuan Fang ◽  
Shenglu Ji ◽  
...  
Keyword(s):  
In Vivo Imaging ◽  
Near Infrared ◽  
Related Protein ◽  
Near Infrared Fluorescence ◽  
Fluorescence Light

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 Non-invasive, real-time reporting drug release in vitro and in vivo

2015 ◽  
Vol 51 (32) ◽  
pp. 6948-6951 ◽  
Author(s):  
Yanfeng Zhang ◽  
Qian Yin ◽  
Jonathan Yen ◽  
Joanne Li ◽  
Hanze Ying ◽  
...  
Keyword(s):  
Drug Release ◽  
Real Time ◽  
Near Infrared ◽  
Reporting System ◽  
Real Time Monitoring ◽  
Near Infrared Fluorescence ◽  
Non Invasive ◽  
Fluorescence Dye

Anin vitroandin vivodrug-reporting system is developed for real-time monitoring of drug release via the analysis of the concurrently released near-infrared fluorescence dye.

In vivo imaging with near-infrared fluorescence lifetime contrast

2009 ◽  
Author(s):  
Walter J. Akers ◽  
Mikhail Y. Berezin ◽  
Hyeran Lee ◽  
Samuel Achilefu
Keyword(s):  
Fluorescence Lifetime ◽  
In Vivo Imaging ◽  
Near Infrared ◽  
Near Infrared Fluorescence

scholarly journals Biocompatible and Biodegradable Magnesium Oxide Nanoparticles with In Vitro Photostable Near-Infrared Emission: Short-Term Fluorescent Markers

Nanomaterials ◽  
2019 ◽  
Vol 9 (10) ◽  
pp. 1360 ◽  
Author(s):  
Asma Khalid ◽  
Romina Norello ◽  
Amanda N. Abraham ◽  
Jean-Philippe Tetienne ◽  
Timothy J. Karle ◽  
...  
Keyword(s):  
Magnesium Oxide ◽  
In Vivo Imaging ◽  
Near Infrared ◽  
Cultured Cells ◽  
Infrared Emission ◽  
Fluorescent Nanoparticles ◽  
Short Term ◽  
Fluorescent Markers

Imaging of biological matter by using fluorescent nanoparticles (NPs) is becoming a widespread method for in vitro imaging. However, currently there is no fluorescent NP that satisfies all necessary criteria for short-term in vivo imaging: biocompatibility, biodegradability, photostability, suitable wavelengths of absorbance and fluorescence that differ from tissue auto-fluorescence, and near infrared (NIR) emission. In this paper, we report on the photoluminescent properties of magnesium oxide (MgO) NPs that meet all these criteria. The optical defects, attributed to vanadium and chromium ion substitutional defects, emitting in the NIR, are observed at room temperature in NPs of commercial and in-house ball-milled MgO nanoparticles, respectively. As such, the NPs have been successfully integrated into cultured cells and photostable bright in vitro emission from NPs was recorded and analyzed. We expect that numerous biotechnological and medical applications will emerge as this nanomaterial satisfies all criteria for short-term in vivo imaging.

Ultra-bright near-infrared-emitting HgS/ZnS core/shell nanocrystals for in vitro and in vivo imaging

2015 ◽  
Vol 3 (34) ◽  
pp. 6928-6938 ◽  
Author(s):  
Jing Yang ◽  
Yaoping Hu ◽  
Jiangwei Tan ◽  
Li Jia ◽  
Yu-Hua Zhu ◽  
...  
Keyword(s):  
In Vivo Imaging ◽  
Near Infrared ◽  
Core Shell ◽  
Good Biocompatibility

Novel ultra-bright, stable NIR-emitting HgS/ZnS core/shell NCs with good biocompatibility for in vitro and in vivo imaging.

Amyloid-β Deposits Target Efficient Near-Infrared Fluorescent Probes: Synthesis, in Vitro Evaluation, and in Vivo Imaging

2016 ◽  
Vol 88 (3) ◽  
pp. 1944-1950 ◽  
Author(s):  
Hualong Fu ◽  
Peiyu Tu ◽  
Liu Zhao ◽  
Jiapei Dai ◽  
Boli Liu ◽  
...  
Keyword(s):  
Fluorescent Probes ◽  
In Vivo Imaging ◽  
Near Infrared ◽  
Amyloid Β ◽  
In Vitro Evaluation

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
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