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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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Light as Energy01:35

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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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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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Related Experiment Video

Updated: Feb 8, 2026

Author Spotlight: High-Resolution 4D Light-Sheet Imaging and Virtual Reality in Zebrafish for Single-Cell Analysis of Heart Function
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Deblurring Low-Light Images with Light Streaks.

Zhe Hu, Sunghyun Cho, Jue Wang

    IEEE Transactions on Pattern Analysis and Machine Intelligence
    |July 11, 2018
    PubMed
    Summary

    This study introduces a novel algorithm for deblurring low-light images using light streaks. The method effectively estimates blur kernels from these streaks, improving image quality in challenging conditions.

    Area of Science:

    • Computer Vision
    • Image Processing

    Background:

    • Low-light images from handheld cameras are often blurry, requiring steady poses and long exposures.
    • Existing deblurring methods struggle with low-light images due to insufficient feature extraction for blur kernel estimation.

    Purpose of the Study:

    • To develop an algorithm that utilizes light streaks for deblurring low-light images.
    • To improve blur kernel estimation in low-light conditions by leveraging light streak information.

    Main Methods:

    • A novel algorithm is proposed that detects light streaks to estimate blur kernels.
    • A non-linear blur model incorporating light streaks and sources is introduced within an optimization framework.
    • The algorithm is extended to handle non-uniform blur for practical applications.

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    Main Results:

    • The proposed algorithm effectively utilizes light streaks for blur kernel estimation.
    • Experimental results demonstrate superior performance compared to state-of-the-art methods on real-world low-light images.
    • The method successfully deblurs images with non-uniform blur.

    Conclusions:

    • Light streaks provide valuable information for deblurring low-light images.
    • The developed algorithm offers a robust solution for low-light image deblurring, outperforming existing approaches.