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Related Concept Videos

Visual System01:26

Visual System

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.
Once through the pupil, the light passes through the lens, a...
Vision01:24

Vision

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.
Imaging Biological Samples with Optical Microscopy01:18

Imaging Biological Samples with Optical Microscopy

Optical microscopy uses optic principles to provide detailed images of samples. Antonie van Leeuwenhoek designed the first compound optical microscope in the 17th century to visualize blood cells, bacteria, and yeast cells. In 1830, Joseph Jackson Lister created an essentially modern light microscope. The 20th century saw the development of microscopes with enhanced magnification and resolution.
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Focusing of Light in the Eye01:16

Focusing of Light in the Eye

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...
Convolution: Math, Graphics, and Discrete Signals01:24

Convolution: Math, Graphics, and Discrete Signals

In any LTI (Linear Time-Invariant) system, the convolution of two signals is denoted using a convolution operator, assuming all initial conditions are zero. The convolution integral can be divided into two parts: the zero-input or natural response and the zero-state or forced response, with t0 indicating the initial time.
To simplify the convolution integral, it is assumed that both the input signal and impulse response are zero for negative time values. The graphical convolution process...
Properties of the z-Transform I01:17

Properties of the z-Transform I

The z-transform is a fundamental tool in digital signal processing, enabling the analysis of discrete-time systems through its various properties. It is an invaluable tool for analyzing discrete-time systems, offering a range of properties that simplify complex signal manipulations. One fundamental property is linearity. For any two discrete-time signals, the z-transform of their linear combination equals the same linear combination of their individual z-transforms. This property is essential...

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Optical computing: introduction by the feature editors.

Y Li, J Tanida, F Tooley

    Applied Optics
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    Summary
    This summary is machine-generated.

    This special issue features 19 papers on optical computing, many from a 1995 conference. It offers a historical overview of optical computing meetings and reviews the included research.

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    Area of Science:

    • Optics and Information Processing
    • Optical Computing

    Background:

    • This special issue compiles 19 research papers on optical computing.
    • Many contributions originate from the Optical Society of America's Sixth Topical Meeting on Optical Computing in 1995.

    Purpose of the Study:

    • To present recent advancements in optical computing.
    • To provide a historical context for optical computing research.
    • To offer a curated review of selected papers in the field.

    Main Methods:

    • Compilation of expanded research papers from a major conference.
    • Introduction includes a historical review of optical computing meetings.
    • Editorial review of the selected topical papers.

    Main Results:

    • A collection of 19 peer-reviewed papers on optical computing.
    • Insights into the historical development of optical computing conferences.
    • A summary of current research trends in optical computing.

    Conclusions:

    • The issue serves as a valuable resource for researchers in optical computing.
    • Highlights the progression and key topics in the field.
    • Facilitates further research and development in optical information processing.