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Related Concept Videos

Anatomy of the Eyeball01:20

Anatomy of the Eyeball

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The eye is a spherical, hollow structure composed of three tissue layers. The outer layer — the fibrous tunic, comprises the sclera — a white structure — and the cornea, which is transparent. The sclera encompasses some of the ocular surface, most of which is not visible. However, the 'white of the eye' is distinctively visible in humans compared to other species. The cornea, a clear covering at the front of the eye, enables light penetration. The eye's middle...
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Light enters the eye through the cornea, a transparent, dome-shaped surface covering the surface of the eyeball that helps to direct and focus incoming light. This light is then channeled toward the pupil, an adjustable opening whose size is controlled by the iris. The iris, a pigmented muscle, regulates the amount of light entering the eye by contracting or dilating the pupil, thereby ensuring optimal light levels for clear vision.
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Vision is the result of light being detected and transduced into neural signals by the retina of the eye. This information is then further analyzed and interpreted by the brain. First, light enters the front of the eye and is focused by the cornea and lens onto the retina—a thin sheet of neural tissue lining the back of the eye. Because of refraction through the convex lens of the eye, images are projected onto the retina upside-down and reversed.
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Updated: Dec 21, 2025

Automated Charting of the Visual Space of Housefly Compound Eyes
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    Researchers developed a novel method using a virtual cylinder target and neural networks to accurately determine object orientation with a bionic curved compound eye. This biomimetic approach enhances target tracking and navigation capabilities.

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    Area of Science:

    • Biomimetics and Robotics
    • Computer Vision
    • Optical Engineering

    Background:

    • Insect compound eyes offer excellent directional navigation capabilities.
    • Bionic curved compound eyes show potential for target orientation detection.
    • Existing models struggle with the non-linear relationship in wide field-of-view curved compound eyes.

    Purpose of the Study:

    • To develop an effective model for detecting target orientation using bionic curved compound eyes.
    • To address the non-linear imaging challenges in wide field-of-view systems.
    • To enable accurate quantitative orientation detection.

    Main Methods:

    • A novel method combining a virtual cylinder target with a neural network was proposed.
    • A fiber-optic compound eye, inspired by bee compound eyes, was developed.
    • Verification experiments were conducted using the fiber-optic compound eye prototype.

    Main Results:

    • The proposed method successfully achieved quantitative detection of target orientations.
    • Average errors for horizontal and elevation angles were 0.5951° and 0.6748°, respectively.
    • The system demonstrated high accuracy in orientation prediction.

    Conclusions:

    • The developed method effectively overcomes non-linear imaging issues in bionic compound eyes.
    • This approach has significant potential for applications like target tracking and autonomous navigation.
    • The fiber-optic compound eye prototype validates the feasibility of the proposed orientation detection technique.