Сomputational optical clearing: a new tool for measuring hidden chromophores in skin estimate hidden chromophore content
Mohammad Ali Ansari, 1 Valery V. Tuchin, 2,3,4,5
1 Laser and Plasma Research Institute, Shahid Beheshti University, Tehran, Iran.
2 Saratov State University, Saratov, Russia 3 Tomsk State University, Tomsk, Russia 4 Saratov State Medical University, Saratov, Russia 5 Institute of Precision Mechanics and Control RAS, Saratov, Russia
Abstract
Optical imaging modalities include optical coherence tomography (OCT), confocal microscopy, diffuse reflectance spectroscopy (DRS), and fluorescence imaging. However, because biological tissues have significant scattering properties, their applications are limited to modest tissue depths. Combining these imaging techniques with the optical clearing (OC) technique is one way to increase optical depth. To lower the amount of light scattered in the tissue, conventional OC approaches are used. As a result, the depth of light penetration increases, resulting in better image quality. A novel approach for detecting chromophores has recently been introduced: computational optical cleaning. The computational OC uses the ability of diffuse reflection spectroscopy to reconstruct the distribution of a particular chromophore of interest, which is generally obscured by absorption of stronger tissue chromophores such as hemoglobin, melanin, and water, as well as significant light scattering. The method has been effectively applied to the extraction of melanin and beta carotene absorption coefficients inside tissue phantoms and human skin with conventional OC.
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Mohammad Ali Ansari
Laser and Plasma Research Institute, Shahid Beheshti University
Iran
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