Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Vector Algebra: Graphical Method01:10

Vector Algebra: Graphical Method

16.5K
Vectors can be multiplied by scalars, added to other vectors, or subtracted from other vectors. The vector sum of two (or more) vectors is called the resultant vector or, for short, the resultant.
We use the laws of geometry to construct resultant vectors, followed by trigonometry to find vector magnitudes and directions. For a geometric construction of the sum of two vectors in a plane, we follow the parallelogram rule. Suppose two vectors are at arbitrary positions. Translate either one of...
16.5K
Fischer Projections02:18

Fischer Projections

16.0K
Learning to draw Fischer projections of molecules and understanding their relevance plays a crucial role in the visual depiction of organic molecules. A Fischer projection is a two-dimensional projection on a planar surface to simplify the three-dimensional wedge–dash representation of molecules. This is especially helpful in the case of molecules with multiple chiral centers that can be difficult to draw. Here, all the bonds of interest are represented as horizontal or vertical lines. While...
16.0K
Mesh Analysis01:20

Mesh Analysis

1.3K
Mesh analysis is a valuable method for simplifying circuit analysis using mesh currents as key circuit variables. Unlike nodal analysis, which focuses on determining unknown voltages, mesh analysis applies Kirchhoff's voltage law (KVL) to find unknown currents within a circuit. This method is particularly convenient in reducing the number of simultaneous equations that need to be solved.
A fundamental concept in mesh analysis is the definition of meshes and mesh currents. A mesh is a closed...
1.3K
Vector Algebra: Method of Components01:08

Vector Algebra: Method of Components

18.6K
It is cumbersome to find the magnitudes of vectors using the parallelogram rule or using the graphical method to perform mathematical operations like addition, subtraction, and multiplication. There are two ways to circumvent this algebraic complexity. One way is to draw the vectors to scale, as in navigation, and read approximate vector lengths and angles (directions) from the graphs. The other way is to use the method of components.
In many applications, the magnitudes and directions of...
18.6K
Vector Components in the Cartesian Coordinate System01:29

Vector Components in the Cartesian Coordinate System

26.4K
Vectors are usually described in terms of their components in a coordinate system. Even in everyday life, we naturally invoke the concept of orthogonal projections in a rectangular coordinate system. For example, if someone gives you directions for a particular location, you will be told to go a few km in a direction like east, west, north, or south, along with the angle in which you are supposed to move. In a rectangular (Cartesian) xy-coordinate system in a plane, a point in a plane is...
26.4K
Deconvolution01:20

Deconvolution

489
Deconvolution, also known as inverse filtering, is the process of extracting the impulse response from known input and output signals. This technique is vital in scenarios where the system's characteristics are unknown, and they must be inferred from the observable signals.
Deconvolution involves several mathematical techniques to derive the impulse response. One common approach is polynomial division. In this method, the input and output sequences are treated as coefficients of...
489

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Recent developments and perspectives on laser-driven neutron sources (LDNSs).

The Review of scientific instruments·2026
Same author

Advances in detection for neutron reflectometry with time-resolved imaging detectors.

Scientific reports·2025
Same author

The structure of liquid carbon elucidated by in situ X-ray diffraction.

Nature·2025
Same author

A Quantitative Phase Analysis by Neutron Diffraction of Conventional and Advanced Aluminum Alloys Thermally Conditioned for Elevated-Temperature Applications.

Materials (Basel, Switzerland)·2024
Same author

Gallium oxide (Ga2O3) energy dependent scintillation response to fast neutrons and flash gamma-rays.

The Review of scientific instruments·2024
Same author

Demonstration of neutron time-of-flight diffraction with an event-mode imaging detector.

Journal of applied crystallography·2024

Related Experiment Video

Updated: Dec 24, 2025

Micron-scale Phenotyping Techniques of Maize Vascular Bundles Based on X-ray Microcomputed Tomography
06:21

Micron-scale Phenotyping Techniques of Maize Vascular Bundles Based on X-ray Microcomputed Tomography

Published on: October 9, 2018

9.2K

Visualization of texture components using MTEX.

Gennady Rafailov1,2, El'ad N Caspi3, Ralf Hielscher4

  • 1Los Alamos Neutron Science Center, Los Alamos National Laboratory, MS H805, Los Alamos, New Mexico 87545, USA.

Journal of Applied Crystallography
|April 14, 2020
PubMed
Summary
This summary is machine-generated.

This study provides scripts for the MTEX package to create texture atlases for non-cubic crystal systems. This aids texture analysis by offering guidance for interpreting experimental textures in materials with lower crystal symmetries.

Keywords:
MTEXODFinverse pole figuresorientation distribution functionpole figurestexture

More Related Videos

Energy Dispersive X-ray Tomography for 3D Elemental Mapping of Individual Nanoparticles
10:00

Energy Dispersive X-ray Tomography for 3D Elemental Mapping of Individual Nanoparticles

Published on: July 5, 2016

12.2K
Author Spotlight: Unraveling the Mechanobiology of Tendon Impingement – A Multiaxial Murine Hind Limb Explant Model
08:19

Author Spotlight: Unraveling the Mechanobiology of Tendon Impingement – A Multiaxial Murine Hind Limb Explant Model

Published on: December 8, 2023

1.4K

Related Experiment Videos

Last Updated: Dec 24, 2025

Micron-scale Phenotyping Techniques of Maize Vascular Bundles Based on X-ray Microcomputed Tomography
06:21

Micron-scale Phenotyping Techniques of Maize Vascular Bundles Based on X-ray Microcomputed Tomography

Published on: October 9, 2018

9.2K
Energy Dispersive X-ray Tomography for 3D Elemental Mapping of Individual Nanoparticles
10:00

Energy Dispersive X-ray Tomography for 3D Elemental Mapping of Individual Nanoparticles

Published on: July 5, 2016

12.2K
Author Spotlight: Unraveling the Mechanobiology of Tendon Impingement – A Multiaxial Murine Hind Limb Explant Model
08:19

Author Spotlight: Unraveling the Mechanobiology of Tendon Impingement – A Multiaxial Murine Hind Limb Explant Model

Published on: December 8, 2023

1.4K

Area of Science:

  • Materials Science
  • Crystallography
  • Data Analysis

Background:

  • Texture analysis is crucial for understanding material properties, relying on identifying texture components in pole figures and Euler space.
  • Extensive resources exist for cubic crystal systems, but comprehensive guides for lower symmetries are lacking.
  • Interpreting experimental textures in non-cubic materials is challenging due to the absence of established visual references.

Purpose of the Study:

  • To address the lack of comprehensive resources for texture analysis in non-cubic crystal systems.
  • To provide a practical tool for generating texture atlases for materials with lower crystal symmetries.
  • To enhance the capabilities of orientation distribution function (ODF) analysis for a wider range of materials.

Main Methods:

  • Development of a set of scripts for the MTEX software package.
  • Utilizing MTEX to generate visual representations of texture components in pole figures, inverse pole figures, and Euler space.
  • Enabling users to compile custom texture atlases tailored to specific material systems.

Main Results:

  • Successful creation of scripts that facilitate the generation of texture atlases for non-cubic systems.
  • Demonstration of the utility of these scripts in aiding texture practitioners.
  • Expansion of texture analysis capabilities beyond cubic crystal structures.

Conclusions:

  • The developed MTEX scripts effectively bridge the gap in resources for texture analysis in non-cubic materials.
  • These tools empower researchers to interpret experimental textures more accurately for a broader range of crystalline materials.
  • The work significantly aids orientation distribution function analysis in systems with lower crystal symmetries.