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Related Concept Videos

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.
Muscles of the Eye01:20

Muscles of the Eye

The muscles of the eye are sophisticated structures that control eye movement and focus, allowing for the precise and rapid adjustments necessary for vision. The human eye is controlled by ten muscles — six extraocular muscles, three intraocular muscles, and one primary eyelid retractor muscle.
Extraocular Muscles
The six extraocular muscles surround the eyeball and control its movements. They are responsible for a wide range of eye motions, including looking up, down, left, right, and rotating...
Anatomy of the Eyeball01:20

Anatomy of the Eyeball

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 layer, the vascular tunic,...
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...
Photoreceptors and Visual Pathways01:22

Photoreceptors and Visual Pathways

At the molecular level, visual signals trigger transformations in photopigment molecules, resulting in changes in the photoreceptor cell's membrane potential. The photon's energy level is denoted by its wavelength, with each specific wavelength of visible light associated with a distinct color. The spectral range of visible light, classified as electromagnetic radiation, spans from 380 to 720 nm. Electromagnetic radiation wavelengths exceeding 720 nm fall under the infrared category, whereas...
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...

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Image quality eigenfunctions for the human eye.

Pablo Rodríguez1, Rafael Navarro1, Jos J Rozema2,3

  • 1ICMA, Consejo Superior de Investigaciones Científicas & Universidad de Zaragoza, Facultad de Ciencias. Zaragoza, Spain.

Biomedical Optics Express
|December 5, 2019
PubMed
Summary
This summary is machine-generated.

This study models retinal image quality using a compact statistical approach. It simplifies optical transfer function (OTF) data from many human eyes, enabling efficient simulations and analysis.

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Area of Science:

  • Ophthalmology
  • Optical Engineering
  • Statistical Modeling

Background:

  • Retinal image quality is crucial for diagnosing eye conditions.
  • Characterizing optical transfer functions (OTFs) across a population is complex.
  • Existing models may lack efficiency for large-scale simulations.

Purpose of the Study:

  • To develop a compact statistical model for retinal image quality in a large human eye population.
  • To represent the optical transfer function (OTF) using a modal decomposition.
  • To enable efficient data compression and statistical analysis of ocular optics.

Main Methods:

  • Developed a modal representation of the optical transfer function (OTF) using orthogonal functions derived from Zernike polynomials.
  • Applied singular value decomposition (SVD) to achieve an orthogonal and lower-dimensional basis.
  • Utilized principal component analysis (PCA) on a large dataset of human eye OTFs (5 mm pupil diameter) for further compression.

Main Results:

  • Created a compact statistical model representing individual OTFs as a sum of the population mean and orthogonal eigen-OTFs.
  • The model captures 90% of the population variance, demonstrating significant data compression.
  • The first mode of the modal representation corresponds to the OTF of a perfect optical system.

Conclusions:

  • The developed compact statistical model efficiently represents retinal image quality variations in a large population.
  • This model facilitates data compression and can be valuable for applications like Monte Carlo simulations in ophthalmology.
  • The modal approach provides a powerful tool for understanding and modeling human eye optical performance.