Combining laser-irradiation and glycerol immersion of skeletal muscles to improve their optical transparency

Sheet, Ahmed H.; Hamdy, Omnia; Abdel‐Salam, Zienab; Abdel-Harith, Mohamed

doi:10.1016/j.optlastec.2021.107760

Cited by 7 publications

(1 citation statement)

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“…At the same time, there could be some differences in the values owing to factors such as storage requirements and tissue preparation techniques [ 2 , 32 ]. Additionally, the drying of the tissue during the measuring processes can influence some of the calculated values [ 58 ]. Moreover, for every wavelength, the variation in optical parameter values provided to the diffusion equation induced the difference in fluence rate distribution at the tissue surface.…”

Section: Discussionmentioning

confidence: 99%

Optical Characterization of Biological Tissues Based on Fluorescence, Absorption, and Scattering Properties

2022

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Optical diagnostics methods are significantly appealing in biological applications since they are non-destructive, safe, and minimally invasive. Laser-induced fluorescence is a promising optical spectrochemical analytical technique widely employed for tissue classification through molecular analysis of the studied samples after excitation with appropriate short-wavelength laser light. On the other hand, diffuse optics techniques are used for tissue monitoring and differentiation based on their absorption and scattering characteristics in the red to the near-infrared spectra. Therefore, it is strongly foreseen to obtain promising results by combining these techniques. In the present work, tissues under different conditions (hydrated/dry skin and native/boiled adipose fat) were distinguished according to their fluorescence emission, absorption, and scattering properties. The selected tissues’ optical absorption and scattering parameters were determined via Kubelka–Munk mathematical model according to the experimental tissue reflectance and transmittance measurements. Such measurements were obtained using an optical configuration of integrating sphere and spectrometer at different laser wavelengths (808, 830, and 980 nm). Moreover, the diffusion equation was solved for the fluence rate at the sample surface using the finite element method. Furthermore, the accuracy of the obtained spectroscopic measurements was evaluated using partial least squares regression statistical analysis with 0.87 and 0.89 R-squared values for skin and adipose fat, respectively.

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Section: Discussionmentioning

confidence: 99%