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Related Concept Videos

Light Acquisition02:16

Light Acquisition

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In order to produce glucose, plants need to capture sufficient light energy. Many modern plants have evolved leaves specialized for light acquisition. Leaves can be only millimeters in width or tens of meters wide, depending on the environment. Due to competition for sunlight, evolution has driven the evolution of increasingly larger leaves and taller plants, to avoid shading by their neighbors with contaminant elaboration of root architecture and mechanisms to transport water and nutrients.
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The energy required to carry out photosynthesis is light— typically electromagnetic radiation from the sun. The range of all possible wavelengths is known as the electromagnetic spectrum.
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The nature of light has been a subject of inquiry since antiquity. In the seventeenth century, Isaac Newton performed experiments with lenses and prisms and was able to demonstrate that white light consists of the individual colors of the rainbow combined together. Newton explained his optics findings in terms of a "corpuscular" view of light, in which light was composed of streams of extremely tiny particles traveling at high speeds according to Newton's laws of motion.
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Photoreceptors and Plant Responses to Light02:00

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Light plays a significant role in regulating the growth and development of plants. In addition to providing energy for photosynthesis, light provides other important cues to regulate a range of developmental and physiological responses in plants.
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Light rays enter the eye through the cornea, a transparent dome-shaped tissue that is the eye's outermost layer. The cornea bends or refracts, light rays traveling to the pupil. The shape of the cornea determines how much of the light is bent and whether the image will be focused correctly on the retina at the back of the eye. Once the light has passed through both refraction layers, it converges into a single focal point onto a small area. This is where photoreceptors start transforming...
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Atomic absorption spectroscopy (AAS) relies on the Beer-Lambert law, which requires that the radiation source emits a narrow range of wavelengths to match the absorption characteristics of the analyte atom. The primary criteria for choosing an appropriate radiation source in AAS is to provide a precise and intense emission at specific wavelengths that will allow accurate detection of the analyte.
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Using Light Sheet Fluorescence Microscopy to Image Zebrafish Eye Development
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Research on the Development of Light Blending Model for Smart LED Lighting.

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    Guang Pu Xue Yu Guang Pu Fen Xi = Guang Pu
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    This study introduces a new light blending model using a BP neural network and active set algorithm to precisely control smart LED light colors. The method accurately adjusts spectral radiance, improving smart lighting applications like museums and homes.

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    Area of Science:

    • Electrical Engineering
    • Computer Science
    • Optics

    Context:

    • Current smart lighting limitations hinder the full potential of adjustable LED luminaries.
    • Existing light blending technologies struggle to accurately simulate the complex relationship between control values and light output.
    • Applications in museum and home lighting require precise color control for enhanced user experience.

    Purpose:

    • To propose a novel light blending model for smart LED lights.
    • To accurately simulate the nonlinear relationship between device control values and spectral radiance.
    • To develop a precise method for controlling smart LED lighting color.

    Summary:

    • A BP neural network-based forward model was developed to calculate spectral radiance power distribution from device control values.
    • An active set algorithm-based backward model was created to predict device control values from desired spectral radiance.
    • The combined model accurately achieves light blending control for smart LED lights, validated by a low CIEUCS Duv value (0.0027).

    Impact:

    • The proposed model significantly improves smart lighting control accuracy, surpassing human visual perception thresholds.
    • This research provides effective support for future advancements in smart LED lighting technology.
    • Enables more sophisticated and accurate color tuning in smart lighting systems for various applications.