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 Experiment Videos

Human photoreceptor topography.

C A Curcio1, K R Sloan, R E Kalina

  • 1Department of Biological Structure, University of Washington, Seattle 98195.

The Journal of Comparative Neurology
|February 22, 1990
PubMed
Summary
This summary is machine-generated.

Related Concept Videos

You might also read

Related Articles

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

Sort by
Same author

Analysis of ``dot product space'' shape descriptions.

IEEE transactions on pattern analysis and machine intelligence·2011
Same author

Dynamic quantization: two adaptive data structures for multidimensional spaces.

IEEE transactions on pattern analysis and machine intelligence·2011
Same author

The foveal avascular region of developing human retina.

Archives of ophthalmology (Chicago, Ill. : 1960)·2008
Same author

Plasma apolipoproteins and risk for age related maculopathy.

The British journal of ophthalmology·2006
Same author

Development of the primate area of high acuity, 3: temporal relationships between pit formation, retinal elongation and cone packing.

Visual neuroscience·2005
Same author

Development of the primate area of high acuity. 2. Quantitative morphological changes associated with retinal and pars plana growth.

Visual neuroscience·2005
Same journal

Inhibitory Neurons in Human Anterior Entorhinal Cortex and Some Comparisons With the Rhesus Monkey.

The Journal of comparative neurology·2026
Same journal

In Situ Hybridization Chain Reaction and Immunohistochemical Labeling of the Octopamine Production Pathway in the Central Nervous System of Lymnaea stagnalis.

The Journal of comparative neurology·2026
Same journal

Innervation Pattern of Inhibitory Projection Neurons in the Bird Sound Localization Circuit.

The Journal of comparative neurology·2026
Same journal

Mu Opioid Receptor mRNA and Protein Localization Across the Rat and Mouse Habenula.

The Journal of comparative neurology·2026
Same journal

Proline-Rich Transmembrane Protein 2 Is Variably Expressed Across Excitatory and Inhibitory Neurons in Mouse Motor Circuits.

The Journal of comparative neurology·2026
Same journal

Brain Distribution of Orthopedia (Otp) Transcription Factor in Bony Fish: A Comparative Neuroanatomical Perspective.

The Journal of comparative neurology·2026
See all related articles

Human retinas have about 4.6 million cones and 92 million rods, with significant individual variability in their density and distribution, especially in the fovea. This variability may stem from photoreceptor migration during development.

Area of Science:

  • Ophthalmology
  • Neuroscience
  • Human Anatomy

Background:

  • Photoreceptor (cone and rod) density and distribution are critical for visual function.
  • Understanding human photoreceptor topography and variability is essential for interpreting visual performance and developing treatments for retinal diseases.

Purpose of the Study:

  • To measure the spatial density of cones and rods in human retinas.
  • To create maps of photoreceptor density and inter-individual variability.
  • To investigate factors influencing photoreceptor distribution.

Main Methods:

  • Analysis of eight whole-mounted human retinas from seven donors (ages 27-44).
  • Construction of detailed maps of cone and rod density and their variability across retinal regions.

Related Experiment Videos

  • Quantification of foveal cone density, rod-free zone, and density gradients.
  • Main Results:

    • Average human retinas contain approximately 4.6 million cones and 92 million rods.
    • Peak foveal cone density averages 199,000 cones/mm², with high inter-individual variability (100,000-324,000 cones/mm²).
    • Cone density decreases sharply with eccentricity, while rod density peaks in a ring around the optic disc, with regional variations (nasal vs. temporal, superior vs. inferior).
    • Photoreceptor density variability is highest near the fovea and increases towards the periphery, similar for both cell types.

    Conclusions:

    • Human retinas exhibit significant, regionally specific variability in cone and rod density.
    • Inter-individual differences in peak cone density may be linked to developmental processes like photoreceptor migration.
    • These findings provide a detailed map of human photoreceptor distribution and variability, crucial for vision science research.