Summary and next steps

This week week in the course we have covered:

• Using Fiji to measure image features such as distance, angle, area, and how to calibrate those measurments
• Image histograms: what they represent and how they can be used and interpreted
• Binary image thresholding and some of the automated algorithms for thresholding in Fiji
• The use of morphological operations such as dilation and erosion to ‘tidy up’ thresholded images
• The use of the script editor in Fiji for automation and batch processing
• Colour thresholding and the use of alternative colour space to the RGB model such as the HSB model
• The basics of running Python code on your computer
• This includes: using the command line, and installing and using libraries

Next week, we’ll look at Python programming in more detail, and how it can be used in image analysis.