Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Color Vision01:24

Color Vision

Color perception begins in the retina, the light-sensitive layer at the back of the eye. Two main theories explain how colors are seen: the trichromatic theory and the opponent-process theory. The trichromatic theory, proposed by Thomas Young in 1802 and extended by Hermann von Helmholtz in 1852, suggests that color vision is based on three types of cone receptors in the retina. These cones are sensitive to different but overlapping ranges of wavelengths corresponding to red, blue, and green.

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

A comparative performance analysis of stand-alone, off-grid solar-powered sodium hypochlorite generators.

RSC advances·2022
Same author

Vapor-fed microfluidic hydrogen generator.

Lab on a chip·2015
Same author

Modified McCannel iridoplasty simulating basal iridectomy for silicone oil tamponade in aphakia and partial aniridia.

Klinische Monatsblatter fur Augenheilkunde·2014
Same author

Double-helix enhanced axial localization in STED nanoscopy.

Optics express·2014
Same author

Optofluidic-tunable color filters and spectroscopy based on liquid-crystal microflows.

Lab on a chip·2013
Same author

Recognitive aspects of moment invariants.

IEEE transactions on pattern analysis and machine intelligence·2012
Same journal

Gaussian-modulated continuous-variable quantum key distribution over 60 km fiber using an integrated silicon photonic receiver.

Optics letters·2026
Same journal

E2E-OCT: end-to-end joint learning model using optical coherence tomography images for vocal cord leukoplakia diagnosis.

Optics letters·2026
Same journal

Holographic generation of panoramic 3D scenes by concave ellipsoidal mirror reflection.

Optics letters·2026
Same journal

Dual-pilot phase recovery with pair-wise maximum-ratio combining for coherent PONs.

Optics letters·2026
Same journal

Mapping the whispering gallery modes of a CaF<sub>2</sub> disk resonator with half-tapered fibers to estimate the fundamental mode volume.

Optics letters·2026
Same journal

Quantitative estimation of deep-subwavelength scale via dark-field scattering axial energy concentration decay profiles.

Optics letters·2026
See all related articles

Related Experiment Video

Updated: Jun 20, 2026

An Electrochemical Cholesteric Liquid Crystalline Device for Quick and Low-Voltage Color Modulation
10:33

An Electrochemical Cholesteric Liquid Crystalline Device for Quick and Low-Voltage Color Modulation

Published on: February 27, 2019

Iterative color-multiplexed, electro-optical processor.

D Psaltis1, D Casasent, M Carlotto

  • 1Carnegie-Mellon University, Department of Electrical Engineering, Pittsburgh, Pennsylvania 15213, USA.

Optics Letters
|August 19, 2009
PubMed
Summary
This summary is machine-generated.

This study introduces an iterative optical processor that solves simultaneous linear equations using a novel color-multiplexing system for complex data. This optical computing approach offers a new method for complex calculations.

More Related Videos

Demonstration of Spin-Multiplexed and Direction-Multiplexed All-Dielectric Visible Metaholograms
08:48

Demonstration of Spin-Multiplexed and Direction-Multiplexed All-Dielectric Visible Metaholograms

Published on: September 25, 2020

Characterization of Anisotropic Leaky Mode Modulators for Holovideo
09:36

Characterization of Anisotropic Leaky Mode Modulators for Holovideo

Published on: March 19, 2016

Related Experiment Videos

Last Updated: Jun 20, 2026

An Electrochemical Cholesteric Liquid Crystalline Device for Quick and Low-Voltage Color Modulation
10:33

An Electrochemical Cholesteric Liquid Crystalline Device for Quick and Low-Voltage Color Modulation

Published on: February 27, 2019

Demonstration of Spin-Multiplexed and Direction-Multiplexed All-Dielectric Visible Metaholograms
08:48

Demonstration of Spin-Multiplexed and Direction-Multiplexed All-Dielectric Visible Metaholograms

Published on: September 25, 2020

Characterization of Anisotropic Leaky Mode Modulators for Holovideo
09:36

Characterization of Anisotropic Leaky Mode Modulators for Holovideo

Published on: March 19, 2016

Area of Science:

  • Optoelectronics
  • Optical Computing
  • Linear Algebra

Background:

  • Solving simultaneous linear equations is fundamental in many scientific and engineering disciplines.
  • Traditional electronic processors face limitations in speed and power consumption for large-scale computations.
  • Optical processing offers potential advantages in speed and parallelism for matrix operations.

Purpose of the Study:

  • To develop and describe an iterative optical processor for solving simultaneous linear equations.
  • To demonstrate the capability of the optical processor to handle complex data.
  • To present a novel color-multiplexing system for complex data operations in optical computing.

Main Methods:

  • A noncoherent optical vector-matrix multiplier was constructed using linear LED and P-I-N photodiode arrays.
  • The optical multiplier was integrated with a 1-D adder in a feedback loop to create an iterative processor.
  • A color-multiplexing system was employed to enable operations on complex data.

Main Results:

  • The iterative optical processor successfully demonstrated its capability in solving simultaneous linear equations.
  • The novel color-multiplexing system effectively facilitated operations on complex data within the optical processor.
  • The combined system showcases a viable approach to optical iterative processing for linear algebra problems.

Conclusions:

  • The developed iterative optical processor is effective for solving simultaneous linear equations.
  • The color-multiplexing technique provides a practical solution for handling complex data in optical computing.
  • This research contributes to the advancement of optical computing architectures for scientific applications.