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

813
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.
813
Depth Perception and Spatial Vision01:15

Depth Perception and Spatial Vision

1.1K
Depth perception is the ability to perceive objects three-dimensionally. It relies on two types of cues: binocular and monocular. Binocular cues depend on the combination of images from both eyes and how the eyes work together. Since the eyes are in slightly different positions, each eye captures a slightly different image. This disparity between images, known as binocular disparity, helps the brain interpret depth. When the brain compares these images, it determines the distance to an object.
1.1K

You might also read

Related Articles

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

Sort by
Same author

Single Crystals of Perylene Diimide-Based Two-Dimensional Covalent Organic Frameworks.

Advanced materials (Deerfield Beach, Fla.)·2026
Same author

Automated Nanocrystalline Sponge Workflow Enabled by 3D Electron Diffraction.

Journal of the American Chemical Society·2026
Same author

Bimodal versus Unimodal Pore Architectures in Diimine-Linked Two-Dimensional Covalent Organic Frameworks.

Journal of the American Chemical Society·2026
Same author

Acquiring Focus on Paramagnetic Single-Atom Sites with Fast Magic-Angle Spinning NMR.

Journal of the American Chemical Society·2026
Same author

Effects of telitacicept and belimumab on systemic lupus erythematosus: a systematic review and meta-analysis.

Scientific reports·2025
Same author

Serial Chemical Crystallography for Autonomous Quantitative Phase Analysis in an Electron Microscope.

Small methods·2025
Same journal

Pseudo-slimy: A novel phenomenon to evoke stickiness perception.

i-Perception·2026
Same journal

Predictive visual uncertainty around moving trajectories influences causality judgments in launching displays.

i-Perception·2026
Same journal

Light and shape in the work of Robert Fones.

i-Perception·2026
Same journal

Sensorimotor numerosity uniquely supports arithmetic development in children.

i-Perception·2026
Same journal

In praise of anaglyphs.

i-Perception·2026
Same journal

Is number a primary perceptual attribute?

i-Perception·2026
See all related articles

Related Experiment Video

Updated: Oct 3, 2025

A Label-Free Segmentation Approach for Intravital Imaging of Mammary Tumor Microenvironment
10:39

A Label-Free Segmentation Approach for Intravital Imaging of Mammary Tumor Microenvironment

Published on: May 24, 2022

2.5K

Spatial Induction in Color Scission.

Zhehao Huang1, Qasim Zaidi1

  • 1Graduate Center for Vision Research, State University of New York, New York, United States.

I-Perception
|February 14, 2022
PubMed
Summary
This summary is machine-generated.

Spatial induction helps our brain separate colors of overlaid objects from their backgrounds. This mechanism shifts overlay colors towards filter colors, revealing how we perceive veridical colors in complex visual scenes.

Keywords:
colorinductionscissiontransparency

More Related Videos

Application of Deep Learning-Based Medical Image Segmentation via Orbital Computed Tomography
04:48

Application of Deep Learning-Based Medical Image Segmentation via Orbital Computed Tomography

Published on: November 30, 2022

3.0K
Automated Segmentation of Cortical Grey Matter from T1-Weighted MRI Images
06:48

Automated Segmentation of Cortical Grey Matter from T1-Weighted MRI Images

Published on: January 7, 2019

9.1K

Related Experiment Videos

Last Updated: Oct 3, 2025

A Label-Free Segmentation Approach for Intravital Imaging of Mammary Tumor Microenvironment
10:39

A Label-Free Segmentation Approach for Intravital Imaging of Mammary Tumor Microenvironment

Published on: May 24, 2022

2.5K
Application of Deep Learning-Based Medical Image Segmentation via Orbital Computed Tomography
04:48

Application of Deep Learning-Based Medical Image Segmentation via Orbital Computed Tomography

Published on: November 30, 2022

3.0K
Automated Segmentation of Cortical Grey Matter from T1-Weighted MRI Images
06:48

Automated Segmentation of Cortical Grey Matter from T1-Weighted MRI Images

Published on: January 7, 2019

9.1K

Area of Science:

  • Visual perception
  • Neuroscience
  • Color science

Background:

  • The visual system typically perceives only one color per location.
  • A notable exception occurs with colored transparencies or spotlights on different surfaces.
  • Separating background and overlay colors is crucial for accurate visual interpretation.

Purpose of the Study:

  • To investigate the neural mechanisms behind color scission, specifically how the brain extracts veridical colors of overlays.
  • To explore the role of spatial induction in separating overlaid and background colors.

Main Methods:

  • Presented naturalistic simulations using alternating filter and illumination spectra.
  • Created scenarios where isomeric disks appeared covered by filters/spotlights.
  • Manipulated surrounding illumination to influence perceived overlay colors.

Main Results:

  • Demonstrated that spatial induction shifts the perceived color of an overlay towards the actual color of the filter.
  • Showed that perceived overlay colors depend significantly on the surrounding illumination.
  • Provided evidence for a previously unrecognized role of spatial induction in color scission.

Conclusions:

  • Spatial induction is a key mechanism contributing to color scission, enabling the perception of distinct background and overlay colors.
  • This finding suggests that general-purpose neural mechanisms are employed for color scission.
  • Highlights the importance of spatial context in determining the perceived color of objects and transparencies.