Development and Optimization of a Fluorescent Imaging System to Detect Amyloid-β Proteins: Phantom Study. (13th June 2018)
- Record Type:
- Journal Article
- Title:
- Development and Optimization of a Fluorescent Imaging System to Detect Amyloid-β Proteins: Phantom Study. (13th June 2018)
- Main Title:
- Development and Optimization of a Fluorescent Imaging System to Detect Amyloid-β Proteins: Phantom Study
- Authors:
- Tes, David
Kratkiewicz, Karl
Aber, Ahmed
Horton, Luke
Zafar, Mohsin
Arafat, Nour
Fatima, Afreen
Avanaki, Mohammad RN - Abstract:
- Alzheimer disease is the most common form of dementia, affecting more than 5 million people in the United States. During the progression of Alzheimer disease, a particular protein begins to accumulate in the brain and also in extensions of the brain, ie, the retina. This protein, amyloid-β (Aβ), exhibits fluorescent properties. The purpose of this research article is to explore the implications of designing a fluorescent imaging system able to detect Aβ proteins in the retina. We designed and implemented a fluorescent imaging system with a range of applications that can be reconfigured on a fluorophore to fluorophore basis and tested its feasibility and capabilities using Cy5 and CRANAD-2 imaging probes. The results indicate a promising potential for the imaging system to be used to study the Aβ biomarker. A performance evaluation involving ex vivo and in vivo experiments is planned for future study.
- Is Part Of:
- Biomedical engineering and computational biology. Volume 9(2018)
- Journal:
- Biomedical engineering and computational biology
- Issue:
- Volume 9(2018)
- Issue Display:
- Volume 9, Issue 2018 (2018)
- Year:
- 2018
- Volume:
- 9
- Issue:
- 2018
- Issue Sort Value:
- 2018-0009-2018-0000
- Page Start:
- Page End:
- Publication Date:
- 2018-06-13
- Subjects:
- Fluorescence imaging -- Cy5 -- CRANAD-2 -- amyloid-β -- Alzheimer disease -- early diagnosis -- instrumentation
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610.2805 - Journal URLs:
- http://insights.sagepub.com/journal-biomedical-engineering-and-computational-biology-j170 ↗
http://www.uk.sagepub.com/home.nav ↗ - DOI:
- 10.1177/1179597218781081 ↗
- Languages:
- English
- ISSNs:
- 1179-5972
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
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