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Properties of Enantiomers and Optical Activity02:24

Properties of Enantiomers and Optical Activity

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It is essential to understand the difference between chiral and achiral interactions and the implications thereof in optical activity and their applications. Just as our feet, which are chiral, interact uniquely with chiral objects, such as a pair of shoes, but identically with achiral socks, enantiomers of a molecule exhibit different properties only when they interact with other chiral media. An example of a significant implication from this facet is the phenomenon known as optical activity,...
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When the fitness of a trait is influenced by how common it is (i.e., its frequency) relative to different traits within a population, this is referred to as frequency-dependent selection. Frequency-dependent selection may occur between species or within a single species. This type of selection can either be positive—with more common phenotypes having higher fitness—or negative, with rarer phenotypes conferring increased fitness.
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Uniform depth channel flow keeps fluid depth consistent along channels such as irrigation canals. In natural channels, such as rivers, approximate uniform flow is often assumed. This condition occurs when the channel’s bottom slope matches the energy slope, balancing potential energy lost from gravity with head loss due to shear stress. This balance prevents depth changes along the channel length, resulting in a steady, uniform flow.Uniform flow in open channels with a constant cross-section...
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Depth perception is the ability to perceive objects three-dimensionally. It relies on two types of cues: binocular and monocular. Binocular cues depend on the combination of images from both eyes and how the eyes work together. Since the eyes are in slightly different positions, each eye captures a slightly different image. This disparity between images, known as binocular disparity, helps the brain interpret depth. When the brain compares these images, it determines the distance to an object.
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To calculate the flow rate for a trapezoidal channel, first, identify the bottom width, side slope, and flow depth of the channel. The cross-sectional area (A) corresponding to the depth of flow (y), channel bottom width (B), and side slope (θ) is determined by:Next, calculate the wetted perimeter, which includes the bottom width and the sloped side lengths in contact with the water. Using the values of the cross-sectional area and the wetted perimeter, determine the hydraulic radius by...
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Respiratory Depth
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The Frequency Domain Thermoreflectance Technique for Thermal Property Measurements
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Depth-Sensitive Optical Property Characterization Using Multi-Frequency Laparoscopic SFDI.

Elias Kluiszo, Luigi Belcastro, Rasel Ahmmed

    Biorxiv : the Preprint Server for Biology
    |February 12, 2026
    PubMed
    Summary
    This summary is machine-generated.

    Accurate optical property estimation using multi-frequency laparoscopic spatial frequency domain imaging (SFDI) is crucial for effective chemophototherapy (CPT) in ovarian cancer, enabling precise light dosimetry and fluorescence monitoring.

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    Area of Science:

    • Biomedical Optics
    • Medical Imaging
    • Ovarian Cancer Treatment

    Background:

    • Accurate optical properties (absorption and scattering) are vital for planning and monitoring laparoscopic chemophototherapy (CPT) in ovarian cancer.
    • Current methods struggle with layered tissues, impacting light dosimetry and fluorescence mapping accuracy.

    Purpose of the Study:

    • To implement and validate a depth-sensitive, multi-frequency laparoscopic spatial frequency domain imaging (SFDI) framework.
    • To improve optical property estimation in layered tissues for CPT applications.

    Main Methods:

    • Developed a depth-sensitive, multi-frequency laparoscopic SFDI system using a DMD-based laparoscope.
    • Imaged two-layer phantoms with varying optical contrasts and thicknesses.
    • Applied independent fitting of spatial-frequency subsets to recover optical properties and compared with diffusion models.

    Main Results:

    • Recovered optical properties were bounded by known layer values and shifted monotonically with spatial frequency and layer thickness.
    • δ-P1 variants of the diffusion model significantly outperformed the standard approximation, reducing Root Mean Square Percentage Error (RMSPE).
    • Achieved RMSPE of 0.8-6.5% for silicone/silicone and 1.6-8.3% for silicone/intralipid phantoms, compared to ~13.8% and ~21.1% for standard diffusion approximation.

    Conclusions:

    • Multi-frequency laparoscopic SFDI provides practical, depth-sensitive optical property estimation for layered tissues.
    • This technique is a viable first step for accurate fluorescence correction in CPT.
    • Enables individualized treatment planning and monitoring for ovarian cancer patients undergoing CPT.