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Direct Measurement of KDM1A Target Engagement Using Chemoprobe-based Immunoassays
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Extinction coefficient determination using target reflectance measurements.

R B Smith, A L Carswell, A Ulitsky

    Applied Optics
    |June 18, 2010
    PubMed
    Summary
    This summary is machine-generated.

    Laboratory experiments show that multiple scattering in water droplet clouds significantly impacts optical extinction measurements. Reducing the receiver

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    Area of Science:

    • Atmospheric optics
    • Cloud physics

    Background:

    • Optical extinction measurements are crucial for understanding atmospheric properties.
    • Accurate determination of extinction coefficients is vital for climate modeling and remote sensing.

    Purpose of the Study:

    • To investigate the impact of multiple scattering on optical extinction measurements in water droplet clouds.
    • To compare extinction coefficient measurements using two different methods.

    Main Methods:

    • Laboratory measurements of optical extinction at 1.06 microm wavelength in water droplet clouds.
    • Determining extinction coefficient (sigma(T)) via two-way attenuation of reflected signals.
    • Comparing sigma(T) with single-pass transmission measurements (sigma).
    • Utilizing cloud layers as reflectors with a selective chopping method to simulate lidar configurations.

    Main Results:

    • Multiple scattering causes significant differences between extinction coefficients measured by the two methods (sigma(T) and sigma).
    • These differences are influenced by scattering medium properties, target characteristics, and receiver field of view.
    • Minimizing the receiver field of view ensures agreement between the two measurement techniques.

    Conclusions:

    • Multiple scattering effects must be carefully considered in optical extinction measurements.
    • A small receiver field of view is critical for accurate extinction coefficient determination in laboratory simulations of lidar.
    • The study provides insights into optimizing remote sensing techniques for cloud characterization.