Chapter 4. Data Processing and Analysis

Table of Contents

Basic Operations
Data Levelling and Background Subtraction
Scan Line Artefacts
Local Defects
Global Distortions
Statistical Analysis
One-Dimensional Roughness Parameters
Feature Measurement
Grain Analysis
Fourier Transform
Wavelet Transform
Fractal Analysis
Tip Convolution Artefacts
Force and Indentation
Convolution and deconvolution
Multiple Data
Magnetic force microscopy
Scanning Microwave Microscopy
Graph Processing
Volume Data Processing
Volume Data Processing: Image stacks
XYZ Data Processing
Curve Maps Data Processing
Force Distance Curve Maps
Synthetic Surfaces
Calibration and uncertainties
Python Scripting

The number and breadth of data manipulation and analysis functions is one of the Gwyddion main strengths. The description of their principles and applications is the purpose of this chapter, with focus on the explanation of how they work and what they calculate or perform. Elements of their user interface are also occasionally described where it seems useful, nevertheless, it is assumed the reader is familiar with the basic organization of data and controls in Gwyddion, as described in the previous chapter.