Anatomy of the human eye

Anatomy of the human eye
Figure 2.43. Anatomy of the human eye, adapted from an image by OpenClipart-Vectors via Pixabay, licensed under CC0.

Anatomy of the human eye

The eye works like a Camera Obscura – a small, almost spherical chamber (Figure 2.43) where light enters via the cornea and through a small hole (the pupil). The iris controls how much light enters the eye through the pupil. Light then passes through a lens which can change shape to focus the image. The image is projected through a transparent, gel-like substance (vitreous humour) to the back of the eye (retina and macula), which contains light-sensitive cells. The retina is connected to the brain via the optic nerve.

Just like in a camera obscura, the image projected onto the retina is upside-down and reversed, but we learn to interpret the visual input the right way around.

What is perhaps the most interesting part of eye biology for colour theorists is how the cells in the retina are sensitive to light and colour and how this information is transmitted to the brain.

Retina photoreceptors showing macula, lens, ipRGCs, rods and cones

Figure 2.44. Overview of the retina photoreceptors. Schematic view of the eye with the retina at the back of the eye (the fundus), containing cones, rods and the intrinsically photosensitive retinal ganglion cells (ipRGCs) expressing the photopigment melanopsin. Image by Christine Blume, Corrado Garbazza & Manuel Spitschan on Wikimedia Commons, licensed under CC BY 4.0.

Retinal cells

Photons of light falling on the light-sensitive cells of the retina are converted into electrical signals that are transmitted to the brain by the optic nerve (Figures 2.44 and 2.45). The brain interprets this information as vision.

Rods and cones of the primate retina

Figure 2.45. Photographic image of rod and cone cells of the retina. Image by: Helga Kolb, Rrods and cones of the primate retina, CC BY-SA 4.0, on Wikimedia Commons

There are three types of cells in the retina that convert light energy into electrical energy.

Rods
These cells respond to low-intensity light and help us to see low-resolution, black-and-white images – it’s why we can still see things in very low light. Animals that can see in the dark have more rods than we do.

Cones
These cells respond to high-intensity light and enable us to see high-resolution, coloured images.

Photosensitive ganglion cells
These cells respond to a full range of light intensities and help the eye adjust the amount of light that enters the eye and reaches the retina. Ganglion cells help define what we see – especially when it comes to recognising edges and borders.

Ganglion cells have also been discovered to regulate the hormone melatonin, and the circadian rhythm, which both help us have a regular sleep cycle. This is why it’s not good to look at your screen devices late at night because the blue light stimulates these cells and can inhibit natural sleep processes.

Cones  – how do they detect colour?

There are two current theories about how cone cells detect colour, and they can both help us understand how colour vision works.

Trichromatic colour vision theory

Trichromatic theory of colour vision tells us that we have three different types of cone cells in our eyes – one each for red, green and blue. These cells are stimulated by different ranges of light waves, and it’s the combination of information from all three types of cells that makes up the millions of colours our brains can perceive. However, it doesn’t fully explain phenomena like how we can’t see “yellowish-blue” or “reddish-green”.

Opponent and complementary colour theories

The opponent process theory of colour tries to describe how the cone cells are more complicated than just red, green, and blue receptive. Instead, the cones have opposite reactions. Originally the opponent pairs were thought to be red-green, blue-yellow and black-white. But in recent times, complementary colour theory shows us that the three “opponent” pairs are red-cyan, green-magenta, and blue-yellow.

These are very complex theories that attempt to explain all the weird things that we see, like afterimage optical illusions. None of the theories described here are able to explain all of our visual experiences, but research continues to explore how our eyes and brain work together to see colour.

You can test the afterimage and complementary colour theory now – all you need is a white piece of paper or wall and the image in Figure 2.46.

Activity – afterimage optical illusion

Stare at the image in Figure 2.46 for 20 seconds (red square with a smaller white interior square). Then quickly look at a piece of white paper or a white wall and stare at the white area for a while.

red square with white square inside it

Figure 2.46. Red Square with white interior. Image attribution: Red Square with white interior by Lisa Cianci, Creative Commons licence CC BY-NC-SA 4.0

What you might briefly see is a faint afterimage of the opposite colours – a blurry cyan square with a smaller dark square inside it, as in Figure 2.47.

This optical illusion can be explained by opponent theory. By staring at the red square for a long time, the cone cells become weaker at detecting red (or transmitting the red vision signal to the brain). Therefore, when you look away to the white paper, the white colour doesn’t register properly as white, it leaves out the red part of white light, and you only see the opposite colour – cyan.

After a while, this illusion fades and your vision will return to normal.

afterimage cyan and black squares

Figure 2.47. Red afterimage: cyan square with grey interior. Image attribution: Red afterimage: cyan square with grey interior by Lisa Cianci, Creative Commons licence CC BY-NC-SA 4.0

Learn more about opponent process on Wikipedia

 

Chimerical colours – impossible or imaginary colours.

The afterimage in the experiment above is also known as a chimerical colour, after the mythical beast, the Chimera. Objects around us do not have imaginary colours, we use that term to describe colours we might see that are not part of normal vision. However, theoretically, there are mathematical descriptions of colours that are outside the visual colour space.

The cone cells in our eyes have sensitivities to short, medium and long wavelengths, and these sensitivities overlap a bit. We don’t usually see colour with only one type of cone at a time – it’s usually a mixture. An impossible colour might occur, for example, if we only saw green with the medium-length cone – we might see it as an extremely intense green. Something outside of the range of the CIELAB colour space.

Types of Chimerical colours (Figure 2.48)

Stygian

Stygian colours are both dark and impossibly saturated. You could see “stygian blue” by staring at bright yellow (to cause a dark blue afterimage), then looking at a deep black surface. The blue afterimage is viewed over the black, and simultaneously as dark as the black.

Self-luminous 

The experiment using Figure 2.46 is an example of self-luminous colour. The cyan afterimage is self-luminous and might appear even brighter than the white paper you are looking at.

Hyperbolic

This is an impossibly highly saturated colour (hyperbolic means exaggerated). You can try an example of this more intense and highly saturated colour by changing the experiment using Figure 2.46.

Try the experiment again, and this time, after you focus on the red square (Figure 2.46), look straight at the blurry cyan square below it (Figure 2.47). You should see an impossibly bright cyan – brighter than any colour you could see with normal light.

Eye fatigue template for impossible colours

 

Figure 2.48. Diagram for viewing “impossible” chimerical colours that are only accessible via fatigue effects in the human eye. Image attribution: Lisa Cianci, adapted from an image by Zowie at English Wikipedia, Chimerical-color-demo, CC BY-SA 3.0, on Wikimedia Commons

 

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Colour Theory: Understanding and Working with Colour Copyright © 2023 by RMIT University is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License, except where otherwise noted.

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