Images for Episode 4, Exercise 1: Histogram and Quality Control

I'm loathe to mention the need for other sample images but if we look at the below learning objective:

[Histogram and Quality Control
Learners will be able to identify common problems with image quality by looking at histograms (saturation, clipping, dynamic range)](https://github.com/carpentries-incubator/bioimage-analysis-python/wiki/Learning-Objectives#histogram-and-quality-control)

We need images with which to do this. We can of course "artificially" play with our standard image set to introduce this but I think it would be good to get another simple set of images (easiest would be one channel, one slice) of the same field of view taken with conditions that results in
- a good dynamic range
- saturation
- clipping at 0

Even is we don't provide these to the learners to actually use, I still think it would be valuble as a diagram, the images and their corresponding hisograms.

If there are no huge objections to this I submit myself to take on the work of getting the images.

No file or test is named. Start by locating the Episode 4, Exercise 1 lesson material and reviewing the linked Histogram and Quality Control learning objective. Done means providing a simple same-field-of-view image set showing good dynamic range, saturation, and clipping at 0, with corresponding histograms suitable for the lesson or a diagram.

Written by the indexing model from the issue text.