Quantum dot bioconjugates for in vitro diagnostics & in vivo imaging

2008 ◽  
Vol 4 (6) ◽  
pp. 307-319 ◽  
Author(s):  
Yun Xing ◽  
Jianghong Rao
Keyword(s):  
Quantum Dot ◽  
In Vivo Imaging ◽  
In Vitro Diagnostics

scholarly journals Combining in Vitro Diagnostics with in Vivo Imaging for Earlier Detection of Pancreatic Ductal Adenocarcinoma: Challenges and Solutions

Radiology ◽  
2015 ◽  
Vol 277 (3) ◽  
pp. 644-661 ◽  
Author(s):  
Paul F. Laeseke ◽  
Ru Chen ◽  
R. Brooke Jeffrey ◽  
Teresa A. Brentnall ◽  
Jürgen K. Willmann
Keyword(s):  
Pancreatic Ductal Adenocarcinoma ◽  
In Vivo Imaging ◽  
Ductal Adenocarcinoma ◽  
In Vitro Diagnostics

Quantum dot-loaded PEGylated poly(alkyl cyanoacrylate) nanoparticles for in vitro and in vivo imaging

Soft Matter ◽  
2011 ◽  
Vol 7 (13) ◽  
pp. 6187 ◽  
Author(s):  
Julien Nicolas ◽  
Davide Brambilla ◽  
Olivier Carion ◽  
Thomas Pons ◽  
Ivan Maksimovic ◽  
...  
Keyword(s):  
Quantum Dot ◽  
In Vivo Imaging

Traceable Peptidic Ligands that Target Ghrelin Receptors

2020 ◽  
Vol 21 (10) ◽  
pp. 955-964 ◽  
Author(s):  
Mengjie Liu ◽  
John Wade ◽  
Mohammed Akhter Hossain
Keyword(s):  
In Vivo Imaging ◽  
Peptide Hormone ◽  
Structural Features ◽  
Pharmacological Properties ◽  
Imaging Studies ◽  
Cognate Receptor ◽  
Ghrelin Receptors ◽  
Biochemical Research

: Ghrelin is a 28-amino acid octanoylated peptide hormone that is implicated in many physiological and pathophysiological processes. Specific visualization of ghrelin and its cognate receptor using traceable ligands is crucial in elucidating the localization, functions, and expression pattern of the peptide’s signaling pathway. Here 12 representative radio- and fluorescently-labeled peptide-based ligands are reviewed for in vitro and in vivo imaging studies. In particular, the focus is on their structural features, pharmacological properties, and applications in further biochemical research.

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 In Vitro and In Vivo Imaging of Peptide-Encapsulated Polymer Nanoparticles for Cancer Biomarker Activated Drug Delivery

2013 ◽  
Vol 12 (4) ◽  
pp. 304-310 ◽  
Author(s):  
Gulsim K. Kulsharova ◽  
Matthew B. Lee ◽  
Felice Cheng ◽  
Munima Haque ◽  
Hyungsoo Choi ◽  
...  
Keyword(s):  
Drug Delivery ◽  
In Vivo Imaging ◽  
Cancer Biomarker ◽  
Polymer Nanoparticles

Time-resolved diffuse optical tomography and its application to in vitro and in vivo imaging

2007 ◽  
Vol 12 (6) ◽  
pp. 062107 ◽  
Author(s):  
Huijuan Zhao ◽  
Feng Gao ◽  
Yukari Tanikawa ◽  
Yukio Yamada
Keyword(s):  
In Vivo Imaging ◽  
Optical Tomography ◽  
Diffuse Optical Tomography ◽  
Time Resolved

From In Vitro to In Vivo: Imaging from the Single Cell to the Whole Organism

2008 ◽  
Vol 44 (1) ◽  
Author(s):  
Jung Julie Kang ◽  
Ildiko Toma ◽  
Arnold Sipos ◽  
Janos Peti‐Peterdi
Keyword(s):  
Single Cell ◽  
In Vivo Imaging
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