Investigate the variation in optical redox ratio of epicardial adipose tissue in patients with CAD through auto-fluorescence metabolic molecular image
(Conference Presentation)

Lun-Zhang Guo; Tzung-Dau Wang; Jong-Wei Lin; Tzu-Ming Liu

doi:10.1117/12.2212606

27 April 2016 Investigate the variation in optical redox ratio of epicardial adipose tissue in patients with CAD through auto-fluorescence metabolic molecular image (Conference Presentation)

Lun-Zhang Guo, Tzung-Dau Wang, Jong-Wei Lin, Tzu-Ming Liu

Author Affiliations +

Proceedings Volume 9711, Imaging, Manipulation, and Analysis of Biomolecules, Cells, and Tissues IX; 971114 (2016) https://doi.org/10.1117/12.2212606
Event: SPIE BiOS, 2016, San Francisco, California, United States

Abstract

In recent years, it has been suggested that epicardial adipose tissue (EAT) plays an important role in development of coronary artery disease (CAD) and diabetes mellitus (DM). In this article, we used two-photon fluoresce microscope to measure the fluorescence metabolic image of EAT, which obtained from the patient with/without CAD/DM. We used 740nm and 890nm infrared light to excite the auto-fluorescence of metabolic molecules NADH and FAD respectively. We collected the fluorescence signal at wavelength 450nm to 500nm and 500nm to 550nm to obtain the metabolic image. Through the image, we computed the redox ratio (NADH/FAD) by analyzing the intensity. The preliminary result showed that the redox ratio increase in the patients with CAD. It indicates EAT adipocytes of patient with CAD have decreased cellular metabolic activity. But there were no significant variation of redox ratio in the patients with DM.

Conference Presentation

Citation Download Citation

Lun-Zhang Guo, Tzung-Dau Wang, Jong-Wei Lin, and Tzu-Ming Liu "Investigate the variation in optical redox ratio of epicardial adipose tissue in patients with CAD through auto-fluorescence metabolic molecular image (Conference Presentation)", Proc. SPIE 9711, Imaging, Manipulation, and Analysis of Biomolecules, Cells, and Tissues IX, 971114 (27 April 2016); https://doi.org/10.1117/12.2212606

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KEYWORDS

Computer aided diagnosis and therapy

Tissue optics

Luminescence

Tissues

Arteries

Infrared imaging

Infrared radiation

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