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A unified computational method is developed for the modeling of growth in hard and soft biological tissues using a mixture theory approach.
We successfully imaged deeply positioned tubes (~5.2 cm) filled with methylene blue (~30 mM) in biological tissues, using a hand-held PA and US imaging system.
We present a noninvasive method for characterizing the refractive index (RI) and thickness distribution in biological tissues using a combined multiphoton microscopy (MPM) and optical coherence tomography (OCT) system.
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In summary, quantitative determination of trace elements in biological tissues using LA-ICP-MS is still a challenging task, requiring extensive knowledge of sample composition and properties.
In this present work, we propose a new method to retrieve the optical parameters of biological tissues using the diffuse reflection with radial resolution data along with a Fourier series with adjustment by nonlinear least squares.
-Design optimization under uncertainties of a mesoscale implant in biological tissues using probabilistic learning.
Specifically, the intention is to use the recently developed elliptic systems method, which has been successfully applied by these authors to the problem of imaging biological tissues using lasers.
These results have important implications for both clinical and research studies investigating structural aspects of biological tissues using estimates of the fiber orientation distribution.
Ultrasound elastography is a relatively new imaging technique that allows non-invasive estimation and imaging of tissue elasticity distribution within biological tissues using conventional real-time ultrasound with modified software.
The determination of the optical parameters, which are defined by the absorption coefficient (μ a), the scattering coefficient (μ s), the refraction index (n) and the anisotropy factor (g), is of vital importance for the characterization of biological tissues using optical methods.
With clean image synthesis and target numerical marching, three-dimensional localization of objects in biological tissue using ICA in a reflection geometry is demonstrated for the first time by imaging a small piece of cancerous prostate tissue embedded in a host consisting of normal prostate tissue.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com