Fiber Orientation Estimation
Fiber Orientation Estimation - Related Videos
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.
09:15
Stereological Estimation of Cholinergic Fiber Length in the Nucleus Basalis of Meynert of the Mouse Brain
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2020
Neuronal fiber length within a three-dimensional structure of a brain region is a reliable parameter to quantify specific neuronal structural integrity or degeneration. This article details a stereological quantification method to measure cholinergic fiber length within the nucleus basalis of Meynert in mice as an example.
08:28
Microfluidic Dry-spinning and Characterization of Regenerated Silk Fibroin Fibers
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Cited by 6 •
2017
A protocol for the microfluidic spinning and microstructure characterization of regenerated silk fibroin monofilament is presented.
01:30
Oriented Surfaces
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2026
A surface is called orientable if a consistent choice of unit normal vector can be made at every point on the surface. A thin soap film stretched across a wire loop provides a familiar example. The film separates the air on one side from the air on the other, so one side can be selected as positive and the opposite side as negative. Once this choice is made, a unit normal vector can be assigned smoothly across the entire surface.At each point on the soap film, a unit normal vector points...
03:55
In Vivo Single-Fiber Recording of Sciatic Nerve C-Fibers in Rats
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2025
This video demonstrates a single-fiber recording of C-fiber nerve conduction in rats. An anesthetized rat is incised to expose the sciatic nerve, which provides sensory and motor supply to the lower limbs. The individual C-fibers are then exposed. Electrical stimulation is provided using stimulus electrodes implanted in the foot, and a response is recorded from a single nerve fiber.
FAQs
Directional features provide the image evidence used to identify how fibrous structures are organized locally. By examining the direction of visible fibers across different regions, the analysis can distinguish areas with similar alignment from areas with changing orientation. This local view is important because a tissue or scaffold may contain spatially varying architecture rather than one uniform direction.
These representations describe alignment at different levels of detail. Angles can summarize predominant directions, vectors can indicate both direction and local orientation, and orientation distributions can show whether fibers are tightly aligned or spread across several directions. Selecting among them helps match the measurement to the biological or material question, including comparisons of organized and less organized structures.
Alignment measurements help connect structural organization with anisotropy, meaning that a material may behave differently depending on the direction of measurement. A strong predominant orientation suggests directional organization that can be compared with mechanical behavior. In bioengineering, this relationship helps researchers examine how extracellular matrix or scaffold architecture may influence cell alignment, tissue function, and directional material properties.
Variation may arise from genuine spatial changes in fiber organization, because different regions can contain different local alignments. The selected imaging data and the way directional features are measured also influence the resulting representation. Examining local orientation rather than relying only on a single overall value helps preserve regional differences that may be important in healthy, diseased, or engineered tissues.
A typical workflow begins by obtaining microscopy or other imaging data that show the fibrous structure. The analysis then detects directional features, evaluates alignment locally, and records the results as angles, vectors, or orientation distributions. Researchers can compare these measurements across regions, samples, or conditions to characterize architectural differences and relate them to tissue or scaffold behavior.
The approach is useful when researchers need to compare extracellular matrix architecture in healthy and diseased tissues, assess muscle or nerve organization, or evaluate engineered scaffolds. It provides quantitative alignment information rather than relying only on visual inspection. Those measurements can support scaffold design and help connect structural organization with cell alignment, mechanical behavior, and tissue function.