Chapter 5: Processing AFM Images
This chapter covers how to process, display and analyse AFM data. It mostly covers manipulation of topographic data, but some of these techniques apply to other data as well. Since the best data still needs the best treatment to extract desired results, it is important that AFM users are aware of the benefits (and pitfalls), of data processing and analysis techniques.
After reading the chapter, it is advisable to take this test since it will ensure that you are aware of the most important concepts in correct data treatment.
1.What is the most common processing operation applied to AFM images?
2.What are the effects of low-pass and high-pass filters?
3.What is the purpose of a histogram adjustment?
4. When is a multicolour colour-scale useful?
5. What purpose does calculating the autocorrelation function of an image serve?
6. What other technique can give similar information?
7. For what is displaying the image in a pseudo-three dimensional view useful?
8. What methods can be used to measure step heights?
9. Name three commonly used roughness parameters.
10. What does skewness measure?
11. What does the procedure described in ISO 5436 do?
12. What does Kurtosis measure?
13. In which analysis procedure is segmentation an important part?
14.Why should Fourier transform analysis be used with care?
15. Why would you need to exclude areas from a flattening procedure? How can this be achieved, and what are the advantages?