For MTEX Version 5.10.2 (released in August 2023):

• All scripts are fully functional.
• In case of any errors, please submit a bug report or open a discussion.
• For new function(s) and/or demonstration script(s), please submit a feature request.

MTEX is a free-to-download Matlab toolbox for analysing electron back-scattering diffraction (EBSD) map data. The toolbox is used by researchers from around the world who are interested in script-based microstructure and crystallographic analyses.

MTEX is fully capable of interrogating, processing, and manipulating EBSD map data obtained in several configurations from different OEM vendors. Perhaps its single most powerful characteristic is that the toolbox itself is fully scriptable. This allows users to develop scripts (or codes or programs) to add functionality where needed. It enables a fully customisable analytical experience and unlike commercial OEM software suites, provides for an ever-evolving library of niche capabilities.

This mtexTools webpage is a collated library of additional MTEX functions and demonstration scripts. Some are original scripts by this author whereas others were gleaned and/or put together from various sources. In the latter case, and while concurrently choosing not to re-invent the wheel, the scripts were modified to either improve on their logic and efficiency or increase their general functionality and usability within MTEX/Matlab. For all such scripts, attributions to the original author are stated in the acknowledgements section of the relevant function. Regardless of their antecedent(s), all scripts in the mtexTools library are directly incorporated into the latest version of MTEX and can be seamlessly and readily used without modification.

• If these scripts and tools prove useful and contribute to published works in any way, please consider an acknowledgement by citing the following reference:

A.A. Gazder, mtexTools: A collated library of additional MTEX functions and demonstration scripts, Github, accessed Date-Month-Year, https://github.com/AzdiarGazder/mtexTools.

• If users wish to modify any of these scripts, they are welcome to do so. If modified scripts are redistributed, please include attribution(s) to the original author(s) as a courtesy within the acknowledgements section of the script.

• Dr Manasij Kumar Yadava - calcLankford and calcYieldLocus
• Dr. Marco A. López Sánchez - grainSizeTools

Visitors to this webpage may download and implement the entire library or individual scripts related to specific tools. Please report any issues with the scripts or webpage to the author using the discussion section or directly via email (for a valid email address, please replace the word "dots" with periods).

The recommended method, which helps keep all mtexTools functions and scripts up-to-date, is as follows:

1. Download and install the GitHub Desktop.
2. Within the GitHub Desktop, click on Files -> Clone a repository -> URL.
3. In the "Repository URL or GitHub username and repository" dialog, type in "https://github.com/AzdiarGazder/mtexTools" (without quotes).
4. In the "Local path" dialog, specify a local subfolder within your Matlab work path (usually "C:\Users\userName\Documents\MATLAB\GitHub" (without quotes)).
5. Click "Clone". All files in this repository will then be available within the local subfolder "C:\Users\userName\Documents\MATLAB\GitHub\MtexTools".
6. Add the local subfolder in pt. 5 (and its subfolders) to your Matlab work path.
7. Restart Matlab. All functions in the mtexTools library will now be available for use.
8. Remember to return to the GitHub Desktop on a weekly/monthly basis and click on "Fetch origin" to pull any updates/edits/changes from the repository to your local subfolder.

Labels: = function; = demonstration script; = toolbox; = MTEX modification; = collaboration

• align: This function aligns ebsd map data along a user-specified linear fiducial in case of drift caused by the thermal cycling of scanning coil electronics during acquisition. The linear fiducial may correspond to a twin boundary, stacking fault, or any linear-shaped deformation or phase transformation products. Instructions on script use are provided in the window titlebar.

• angleAxis2Miller: This function uses twin misorientations defined by their angle-axis convention as input. It returns four Miller indices such that: the first Miller index maps onto the second, and the third Miller index maps onto the fourth. Here the first and second Miller indices correspond to K1 and K2, respectively whereas the third and fourth Miller indices correspond to eta1 and eta2, respectively.

• binaryTable: This function returns a variable containing all logical combinations for a given number of variables.

• calcEaring: This function calculates the height (h) at each peripheral position of a cup drawn from a polycrystalline bcc metal sheet. In the analytical treatment, the polycrystalline sheet is assumed to be an aggregate of single crystals (grains) with various orientations. In the original paper, an orientation distribution function (ODF) contructed from texture data was used to calculate the weight of each single crystal. In this function, ebsd or grain data can be used. For ebsd data, an ODF is first calculated. Following that, there are 2 options: (1) Calculate ODF components & volume fractions using MTEX-default functions, or (2) Calculate the volume fractions of a discretised ODF. For both options, the volume fraction is used as the weight. Alternatively, for grain data, weights are computed using the grain area fraction. The ear may be calculated crystallographically by considering both, restricted glide and pencil glide; with the former returning better predictions in the original paper.

• calcGrainsFFT: This function returns the Fast Fourier Transforms (FFTs) of individual grains. The FFTs are calculated after padding each grayscale/binary grain map to its nearest square. The FFTs from grayscale and binary data are returned in grid format within the 'grains.prop.fftGray' and 'grains.prop.fftBinary' structure variables.

• calcInflection: This function calculates the inflection point of a cumulative distribution function (CDF) that contains two populations with different magnitudes of a given variable. The inflection point is defined as the furthest point from a line connecting the first and last points of the CDF. The bin widths of the CDF are calculated from a probability distribution function (PDF) using either Scott's, Freedman-Diaconis', or the square root rules, or by specifying a value.

• calcLankford: This function calculates the minimum Taylor factor (M) and the Lankford coefficient or plastic anisotropy ratio (R-value or r-value) as a function of the angle to the tensile direction (theta). The R-value, is the ratio of the true width strain to the true thickness strain at a particular value of length strain. The normal anisotropy ratio (Rbar, or Ravg, or rm) defines the ability of the metal to deform in the thickness direction relative to deformation in the plane of the sheet. For Rbar values >= 1, the sheet metal resists thinning, improves cup drawing, hole expansion, and other forming modes where metal thinning is detrimental. For Rbar < 1, thinning becomes the preferential metal flow direction, increasing the risk of failure in drawing operations. A related parameter is the planar anisotropy parameter (deltaR) which is an indicator of the ability of a material to demonstrate non-earing behavior. A deltaR value = 0 is ideal for can-making or deep drawing of cylinders, as this indicates equal metal flow in all directions; thus eliminating the need to trim ears during subsequent processing.

• calcModelTexture: This function returns a model ODF based on a user specified number of ideal orientations used as seeds.

• calcODFIntensity: This function returns the ODF intensity (f(g)) in user-defined steps using Bunge's notation to the variable 'odf.opt.intensity'.

• calcODFVolumeFraction: This function returns the volume fraction of a discrete ODF using Bunge's notation.

• calcScreenSize: This function calculates the screen size for all detected screens on the system in various units such as pixels, inches, centimeters, normalized units, points, or characters. It accounts for system scaling factors specific to different platforms and can either include or exclude the taskbar size from the screen area. The returned screen size can be specified in different units depending on user input.

• calcSpacing: This function calculates the interplanar spacing for a given set of Miller indices specifying the lattice plane. The Bravis lattice of the Miller indices is automatically identified.

• calcStepSize: This function calculates the step size of the ebsd map. This function can also be used in conjunction with the regrid.m script.

• calcThreshold: This function calculates a threshold based on: (1) the probability distribution function (PDF) of a given dataset, OR (2) the cumulative distribution function (CDF) of a given dataset, OR (3) the differential of the CDF of a given dataset. In all cases, the bin widths of the distribution functions are calculated using either Scott's, Freedman-Diaconis', or the square root rules, or by specifying a value. In Cases (1 & 3), the threshold is determined by fitting a Gaussian to the PDF or differential CDF data and finding the specified number of standard deviations from the mid-point of the fitted Gaussian. In Case (2), the threshold is determined by a specified number of standard deviations from the mean of the data.

• calcYieldLocus: This function calculates the yield locus of an orientation set using the equality of external work done with the virtual work via the Taylor model (default and works for all crystal systems), and the Bishop-Hill analysis (works for cubic systems with 24 slip systems only). In the case of the Taylor model, Mtf is calculated as the work done (i.e.- it is the sum of all shears normalised by norm(strainTensor)). Thereafter, for the yield locus, normalisation with the e_11 component is required. In the case of Bishop-Hill (BH) analysis, the script calculates the most appropriate BH stress states for a given external strain using the maximum work principle. The output M is the maximum work normalised with e_XX. The priniciple of equivalence of external work to the virtual work is utilised to determine the yield locus sections. For e.g. - to determine the sigmaXX - sigmaYY section (where sigmaZZ = 0), the external work is (sigmaXX * eXX) + (sigmaYY * eYY) while the virtual work is W determined from the Taylor or Bishop-Hill methods. Equating both gives equations of straight lines with slopes depending on rho values. The yield locus is the inner envelop of these lines.

• checkMTEXVersion: This function compares versions of the current MTEX toolbox to a user-specified version string of the form 'majorVersion.minorVersion.revisionVersion'. Returns true if the current toolbox version is less than the user-specified version string. Returns false if the current toolbox version is greater than the user-specified version string.

• crop: This function crops, cuts-out or makes a subset of ebsd map data from within a user-specified rectangular, circular, polygonal or freehand area-based region of interest (ROI). Instructions on script use are provided in the window titlebar.

• currentFolder: This function changes MATLAB's current folder to the folder containing this function and add all of its sub-folders to the work path.

• dilate: This function dilates the ebsd data surrounding individual, multiple contiguous or multiple discrete grains of interest by one pixel.

• discreteColormap: This function sub-divides a default colormap palette into a user specified number of discrete colors to improve on the visual distinction between bins/levels.

• ebsd2binary: This function converts ebsd data of a single grain to a grid of binary ones or zeros.

• erode: This function erodes the ebsd data surrounding individual grains of interest by one pixel.

• euclideanDistance: This function calculates the 2D Euclidean distance in pixels (default) or map scan units for supported distance methods for each pixel within a grain. The default 2D Euclidean distance measurement is from the grain center to the grain boundary in pixels or map scan units. The 2D Euclidean distance measurement from the grain boundary to the grain center is available but only when specified by the user. The values are returned within the 'ebsd.prop.euclid' structure variable.

• exportCRC: This function exports input EBSD map orientation data in any vendor format to proprietary Oxford Instruments HKL Channel 5 *.cpr and *.crc output file format.

• ferriteQuantifier: This script demonstrates how to automatically segment and quantify the area fractions of various ferrite microconstituents in EBSD maps of steel grades produced by the CASTRIP(R) process. The three ferrite microconstituents namely, (1) acicular ferrite, (2) polygonal ferrite and (3) bainite, significantly influence the mechanical properties of steel. They are distinguished using the grain aspect ratio, grain boundary misorientation angle, grain average misorientation and grain size criteria.

• fibreMaker: This function creates an ideal crystallographic fibre with a user specified half-width and exports the data as a lossless MATLAB .mat file object for later use.

• fibreOrientations: This script demonstrates how to obtain and plot orientations from a crystallographic fibre.

• findinArray: This function finds the location of elements in "array1" within "array2" irrespective of data type. The location of common elements may be expressed as indices, subscripts, or a logical array.

• findinVarargin: This function finds the location of an element within varargin. The location may be expressed as indices, subscripts, or a logical array.

• GAM: This function modifies MTEX's in-built KAM script and calculates the intragranular grain average misorientation. The first neighbour kernal average misorientation is averaged to return a single value per grain.

• gBFraction: This function calculates the fraction of indexed boundary segments that are below and above user-specified threshold angle(s) for each grain.

• getXLine: This function enables users to select a vertical polyline in the current axes of figure FIG using the mouse. Coordinates of the polyline are returned in X and Y. Once the initial X-coordinate is selected, all subsequent points will have the same X-coordinate, restricting the polyline to be vertical.

• getYLine: This function enables users to select a horizontal polyline in the current axes of figure FIG using the mouse. Coordinates of the polyline are returned in X and Y. Once the initial Y-coordinate is selected, all subsequent points will have the same Y-coordinate, restricting the polyline to be horizontal.

• GOS: The grain orientation spread (GOS) is the average of the angular deviation between the orientation of each pixel within a grain and the average orientation of the grain. The averaging returns a single value per grain.

• grainGrowth_phaseField: This phase-field simulation script demonstrates 2D grain growth using the Allen-Cahn equation for non-conserved order parameters based on a continuum field model by Fan and Chen.

• grainSizeTools: GrainSizeTools is a free, open-source, cross-platform script written in Python and maintained by Dr Marco A. Lopez-Sanchez. This toolbox replicates the data analysis and plots in GrainSizeTools for a MATLAB and MTEX -based environmment by providing tools for: (1) describing and visualising grain size populations, and (2) applying stereology methods to approximate the 3D distribution of grain sizes from thin sections.

• hex2Square: This script demonstrates how to automatically convert from a hexagonal grid ebsd map in TSL OIM's *.ang format to a square grid ebsd map in Oxford Instruments HKL Channel-5 *.cpr and *.crc format.

• idealFibres: This script demonstrates how to plot user-defined pole figures and orientation distribution function sections (and 3D ODFs) of common ideal fibres for bcc, fcc and hcp materials.

• idealOrientations: This script demonstrates how to plot user-defined pole figures and orientation distribution function sections of common ideal orientations for bcc, fcc and hcp materials.

• imageResize: This demonstration interactively resizes an image. When adapted as a function, it may be used in conjunction with ebsd map data to correct for drift during map acquisition.

• imageTransform: This function interactively projectives or affine transforms an image. This function may be used in conjunction with ebsd map data to correct for drift during map acquisition.

• indexLaue: This script demonstrates how to index a Laue micro-diffraction pattern in MTEX.

• jeolOI2Mtex: A set of three scripts to be run successively that enables novice users to find the settings needed to successfully and routinely import thair ebsd map data (collected using a combination of a JEOL scanning electron microscope (SEM) and Oxford Instruments (OI) EBSD(+EDS) system) into MTEX. This tool enables users to plot the ebsd orientation + spatial data and crystallographic texture in Mtex in formats that exactly match the output from OI Channel-5 and Aztec Crystal.

• KACM: By modifying MTEX's in-built KAM script, this function calculates the kernel average center misorientation (KACM). When the kernel is defined as first nearest-neighbours, KACM is equivalent to KAM. When the kernel is defined as second or larger than the second nearest-neighbors, then KACM is calculated by averaging the misorientations between the center point of the kernel and the points at the perimeter of the kernel.

• kamSegmenter: This script demonstrates how to automatically segment and quantify the area fractions of granular bainite and polygonal ferrite in EBSD maps of steel grades using the critical kernel average misorientation (KAM) criterion.

• KOS: By modifying MTEX's in-built KAM script, this function calculates the kernel orientation spread (KOS). The KOS is similar to GOS but done within a user-defined kernel. The n-neighbour kernal average misorientation is averaged to return a single value per grain.

• loadEBSD_crc: Replaces MTEX's default "loadEBSD_crc.m" file located in the "~\mtex\interfaces" folder to include the automatic loading of energy dispersive x-ray spectroscopy (EDS) elemental data stored within a *.crc and *.cpr file when combined EBSD+EDS mapping is undertaken. The EDS elemental data comprises total counts per pixel without any peak deconvolution and background removal undertaken. The elemental values are returned within the 'ebsd.prop' structure variable.

• loadEDS_csv: Automatically loads all energy dispersive x-ray spectroscopy (EDS) elemental data (counts per pixel) stored within individual *.csv files when combined EBSD+EDS mapping is undertaken. The *.csv files may comprise user defined "TruMap" or "QuantMap" data exported from the Oxford Instruments Aztec software suite. The elemental values are returned within the 'ebsd.prop' structure variable.

• lineProfile: This function interactively plots an EBSD map property (numeric, logical, or misorientation) profile along a user specified line or linear fiducial.

• mergeTwins: This script demonstrates how to correctly separate grains with and without twins and how to correctly merge grains containing twins.

• mtexStatistics: This script modifies the MTEX distribution to return the mean, median and mode values for all classes and object types.

• nestedLoopCounter: This function returns the current count (or specifically, the row index) for a series of running nested loops. The function currently employs two and three nested loops but can be extended to multiple nested loops.

• orientationMaker: This function creates an ideal crystallographic orientation from a unimodal ODF with a user specified half-width and exports the data as a lossless MATLAB .mat file object for later use.

• pad: This function pads a binary map with ones or zeros. Options include: (i) Padding to a size based on a user specified [1 x 2] padding array. The padding array defines the number of rows and columns to add to the [(top & bottom) , (left & right)], respectively, of the input map. (ii) Paddding to the nearest square. (iii) Padding automatcially to a size that prevents map data from getting clipped during subsequent map rotation.

• plotCAxis: This script demonstrates how to plot the angle between the c-axis of the hexagonal unit cell and a macroscopic specimen axis.

• plotHeatScatter: This function plots a density distribution of the yData versus the xData using user-specified tiles by applying custom patches. The xData and yData are equally sized vectors. Rows containing NaN values in either vectors are ignored.

• plotHODF: This function plots orientation distribution function phi2 sections in publication-ready format.

• plotHPF: This function plots pole figures in publication-ready format.

• plotMarker: This function plots a line-plot using customisable markers. The function uses line plotting options similar to MATLAB's "plot" command but applies custom patches instead of MATLAB's in-built marker set.

• plotMcKenzie: Plots the McKenzie distribution of a crystal system for a user-defined number of orientations in publication-ready format. It returns the histogram data as well as MTEX's default McKenzie distribtuon after scaling.

• plotScatter: This function creates a scatter plot coloured by density.

• randomEuler: This function generates uniformly distributed random Euler angles (φ1, φ, φ2) in the form of orientations, quaternions or rotation matrices.

• rcrxSegmenter_gaussianMixture: This script demonstrates the application of the Gaussian mixture model algorithm to automatically cluster, segment and quantify the deformed, recovered, newly nucleated and growing grain fractions of a partially recrystallised EBSD map. This script is the latest developmental iteration of the multi-condition segmentation method first desribed in: AA Gazder et al., Evolution of recrystallization texture in a 0.78 wt.% Cr extra-low-carbon steel after warm and cold rolling, Acta Materialia, 59(12), p. 4847-4865, 2011.

• rcrxSegmenter_inflectionThreshold: This script demonstrates the application of the inflection and threshold algorithms to automatically segment and quantify the deformed, recovered, newly nucleated and growing grain fractions of a partially recrystallised EBSD map. This script is the latest developmental iteration of the multi-condition segmentation method first desribed in: AA Gazder et al., Evolution of recrystallization texture in a 0.78 wt.% Cr extra-low-carbon steel after warm and cold rolling, Acta Materialia, 59(12), p. 4847-4865, 2011.

• recolor: This function recolors phases using the ebsd or grains variables interactively via a GUI or via scripting.

• regrid: This function re-calculates the x and y grid values as multiples of the step size to mitigate any rounding-off errors during subsequent gridding operations. This function can be used in conjunction with the calcStepSize.m script.

• rename: This function renames phases using the ebsd or grains variables interactively via a GUI or via scripting.

• replaceText: This function enables users to edit by replacing or changing the first or all instances of a full line of text in a text-based file. This is especially useful if small changes are needed on-the-fly to function files in publicly released toolboxes (like MTEX).

• saveImage: This function saves all open figures that are located either in separate GUI windows or grouped togther in tabs. The user inputs a file name and the program automatically adds a "_XX" suffix comprising an underscore symbol and the figure number while saving the various figure(s).

• setInterp2Latex: This function changes all MATLAB text interpreters from 'tex' to 'latex' in all subsequent figures, plots, and graphs.

• setInterp2Tex: This function changes all MATLAB text interpreters from 'latex' to 'tex' in all subsequent figures, plots, and graphs.

• split: This function splits or sub-divides an ebsd map into a regular, rectangular matrix of submaps with a user-specified number of rows and columns. Additional inputs include the ability to overlap a length fraction along both, horizontal and vertical submap directions. The submaps are returned to the main MATLAB workspace as individual ebsd variables. The location of each submap is denoted by the row and column number. For example: ebsd23 = a submap from row 2, column 3 of the ebsd map.

• stitch: This function stitches, combines or merges two ebsd maps together into one map by defining a user-specified position and offset/overlay for map 2 relative to map 1.

• warpGrid: This demonstration interactively warps a grid of X and Y co-ordinates. When adapted as a function, it may be used in conjunction with ebsd map data to correct for drift during map acquisition.