EBSD

	Short EBSD Analysis Tutorial	How to detect grains in EBSD data and estimate an ODF.
	Data import Visualize EBSD data
	Importing EBSD Data	How to import EBSD Data
	Importing EBSD data using the import wizard Supported Data Formats The Import Script Writing your own interface
	Modify EBSD Data	How to correct EBSD data for measurement errors.
	Selecting a certain phase Restricting to a region of interest Remove Inaccurate Orientation Measurements
	Smoothing of EBSD Data	Discusses how to smooth and to fill missing values in EBSD data
	Smoothing a single grain SUB: The Mean Filter SUB: The Median Filter SUB: The Kuwahara Filer SUB: The Smoothing Spline Filter SUB: The halfquadratic Filter SUB: The Infimal Convolution Filter Interpolating Missing Data SUB: A synthetic example SUB: A real world example
	Analyze EBSD Data
	Data import Orientation plot
	Plotting Individual Orientations	Basics of the plot types for individual orientations data
	Scatter Pole Figure Plot Scatter (Inverse) Pole Figure Plot Scatter Plot in ODF Sections Scatter Plot in Axis Angle or Rodrigues Space Orientation plots for EBSD and grains
	ODF Estimation from EBSD data	How to estimate an ODF from single orientation measurements.
	ODF Estimation Automatic halfwidth selection Effect of halfwidth selection
	Bingham distribution and EBSD data	testing rotational symmetry of individual orientations
	Bingham Distribution The bipolar case and unimodal distribution Prolate case and fibre distribution Oblate case
	Plotting spatially indexed EBSD data	How to visualize EBSD data
	Phase Plots Visualizing arbitrary properties Visualizing orientations Customizing the color SUB: Coloring certain fibres SUB: Coloring certain orientations Combining different plots
	Visualizing EBSD data with sharp textures	How visualize texture gradients within grains
	Sharpening the default colorcoding
	Simulating EBSD data	How to simulate an arbitrary number of individual orientations data from any ODF.
	Simulate EBSD Data ODF Estimation from EBSD Data Exploration of the relationship between estimation error and number of single orientations

EBSD data is stored in the class EBSD while grains are stored as variables of type grain2d. The following mindmap may induce a general idea analysing EBSD Data with MTEX.

Grains are a basic concept for spatially indexed EBSD Data. With grain modelling comes up the possibility of getting more information out of the EBSD Data - e.g. fabric analysis, characterisation of misorientation

Visualizing EBSD Data is a central part to understand the crystallographic orientation of a specimen. The most naive way to do this is by plotting the individual orientations as poles in pole figures or spatially indexed points in some map with colorcoded orientations. Moreover one gets with grains the possibility to take a closer look on grain boundaries and depending on the case, even in the internal structure of the grains.

Estimating ODFs from EBSD Data is also interesting when one has large datasets with and the plotting of individual measurements produces crowded pole figures. Nevertheless the selection of the optimal halfwidth for different dataset is a difficult question, in particular in matters of grains.

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