Episode 4, Exercise 2 Display Adjustment

[sommerc]

Brief description

1. Explain or revisit the image formation process:
   fluorescence (analog) -> pixel values (discrete) -> color on screen (human perception)
2. Discuss human (color) perception. How many gray-values/ colors can humans distinguish?
3. How do we get from pixel-values to a perception? How are they related? In the exersice plt.imshow and its most important arguments are discussed.

Linear relations

Illustrate the relation of physical fluorescence to pixel values and pixel values to colors on a screen as a function of each over, e. g.:

Similarly, examplarize the effect of changing the bounds of this _transfer function_, e.g.:

Extra, if ipympl is availble, write a little widget with min and max slider and a live image viewer.

Non-Linear relations

The relation from pixel-values - what we as humans perceive on the screen - can also be non-linear and designed with certain goals in mind, e.g. gamma correction

makes low pixel-values appear brighter than they would be using the linear relation. What are possible cosequences when using non-linear relations?

4. Best practices for image adjustments and viewing
5. Discuss and illustrate other sequential colormaps and Show examples of non-sequential colormaps and their use cases (e.g. cyclic or categorical pixel values)

Learning objective(s)

The first learning objective is covered in 1. and 2.. The second in 3. and 4.

Volunteer(s)

@sommerc