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Depth Perception and Spatial Vision01:15

Depth Perception and Spatial Vision

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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.
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Related Experiment Video

Updated: Mar 13, 2026

Development of a Gaze-Contingent Display Framework Designed for Perceptual and Oculomotor Research with Simulated Central Vision Loss
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Spatial Interpolation Enables Normative Data Comparison in Gaze-Contingent Microperimetry.

Jonathan Denniss1, Andrew T Astle1

  • 1Visual Neuroscience Group, School of Psychology, University of Nottingham, Nottingham, United Kingdom.

Investigative Ophthalmology & Visual Science
|October 21, 2016
PubMed
Summary

This study introduces a flexible method for comparing visual field sensitivities to normative data, improving microperimetry analysis. The technique allows for more accurate assessments, especially when fixation is not perfectly centered.

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Area of Science:

  • Ophthalmology
  • Visual Neuroscience
  • Medical Imaging

Background:

  • Standard automated perimetry relies on fixed test patterns.
  • Microperimetry offers dense spatial sampling but direct comparison with normative data is challenging.
  • Developing flexible methods is crucial for enhancing microperimetry's clinical utility.

Purpose of the Study:

  • To develop and validate methods for comparing visual field sensitivities from microperimetry with normative data, independent of fixed test patterns.
  • To enable the generation of conventional indices and probability maps from microperimetry data.
  • To enhance the clinical application of microperimetry, particularly in scenarios with non-foveal fixation.

Main Methods:

  • Sixty healthy participants (age 19-50) underwent microperimetry (MAIA-2) at 237 dense locations up to 13° eccentricity.
  • Sensitivity data were used to fit mean, variance, and 5th percentile surfaces, with goodness-of-fit assessed via resampling.
  • Individual data were compared to the 5th percentile surface using a leave-one-out method, including analysis of positional error.

Main Results:

  • Root mean square differences between estimated and measured sensitivities were below 1.0 dB for the 5th percentile surface.
  • Approximately 3.9% of sensitivities fell below the 5th percentile surface, aligning with expected values.
  • Simulated positional errors minimally impacted the percentage of sensitivities below the 5th percentile surface.

Conclusions:

  • Spatial interpolation of normative data allows for flexible comparison of visual field sensitivities.
  • The developed methods facilitate the creation of familiar perimetric indices and probability maps.
  • These advancements are expected to improve the clinical utility of microperimetry, especially for patients with fixation instability.