3d Orientation Mapping
3d Orientation Mapping - Related Videos
12:34
Methods for Measuring the Orientation and Rotation Rate of 3D-printed Particles in Turbulence
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Cited by 7 •
2016
We use 3D printing to fabricate anisotropic particles in the shapes of jacks, crosses, tetrads, and triads, whose alignments and rotations in turbulent fluid flow can be measured from multiple simultaneous video images.
10:00
Energy Dispersive X-ray Tomography for 3D Elemental Mapping of Individual Nanoparticles
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Cited by 11 •
2016
The use of energy dispersive X-ray tomography in the scanning transmission electron microscope to characterize elemental distributions within single nanoparticles in three dimensions is described.
12:09
Patient-specific Modeling of the Heart: Estimation of Ventricular Fiber Orientations
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Cited by 14 •
2013
A methodology to estimate ventricular fiber orientations from in vivo images of patient heart geometries for personalized modeling is described. Validation of the methodology performed using normal and failing canine hearts demonstrate that that there are no significant differences between estimated and acquired fiber orientations at a clinically observable level.
05:36
Determining Spatial Orientation of Rock Layers with the Brunton Compass
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2023
Source: Laboratory of Alan Lester - University of Colorado Boulder Most rock units exhibit some form of planar surfaces or linear features. Examples include bedding-, fault-, fracture-, and joint-surfaces, and various forms of foliation and mineral alignment. The spatial orientation of these features form the critical raw data used to constrain models addressing the origin and subsequent deformation of rock units. Although now over 100 years since its invention and introduction, the Brunton...
11:03
Motor Maps
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2023
Source: Laboratories of Jonas T. Kaplan and Sarah I. Gimbel—University of Southern California One principle of brain organization is the topographic mapping of information. Especially in sensory and motor cortices, adjacent regions of the brain tend to represent information from adjacent parts of the body, resulting in maps of the body expressed on the surface of the brain. The primary sensory and motor maps in the brain surround a prominent sulcus known as the central sulcus. The cortex...
FAQs
The reference frame establishes the coordinate system against which a biological structure is evaluated. Image-derived coordinates can then be used to calculate orientation vectors or angles, allowing alignment to be compared consistently within and between samples. This converts spatial relationships into measurable values rather than leaving organization dependent only on visual interpretation.
A defined reference frame gives orientation measurements a shared spatial basis. Without that basis, angles or vectors may not be comparable across samples or imaging conditions. In 3D orientation mapping, consistent spatial references support quantitative comparisons and help distinguish genuine differences in organization from differences caused by how structures were represented.
The measurements can be displayed as orientation maps, color-coded images, or statistical distributions. Maps preserve spatial context, color coding can show how alignment varies across a structure, and distributions summarize patterns across many measurements. Using these formats together helps connect local organization with broader trends in biological architecture.
Visual inspection can show that structures appear aligned, but it does not by itself provide a consistent numerical basis for comparison. Orientation mapping adds calculated vectors or angles and organizes them into interpretable spatial or statistical outputs. This makes alignment measurable, supports comparisons across samples, and strengthens reproducibility in three-dimensional imaging studies.
A typical workflow begins with image-derived coordinates for the structures of interest. The analysis then establishes a reference frame, calculates orientation vectors or angles, and represents the results as maps, color codes, or statistical distributions. These outputs can subsequently be compared across samples or imaging conditions to evaluate differences in spatial organization.
Biologists can apply the method when the arrangement of structures in three dimensions is relevant to the research question. The overview identifies uses in tissue architecture, development, biomechanics, neural organization, and disease-associated remodeling. In these settings, measured orientations help relate spatial organization to structural changes and potential structure-function relationships.
Because the process expresses spatial organization through coordinates, vectors, angles, and defined reference frames, results can be organized using a common quantitative basis. Researchers can compare orientation patterns across samples or imaging conditions instead of relying only on visual impressions. This supports more reproducible analysis of three-dimensional biological structures.