Fiber Diameter Analysis
Fiber Diameter Analysis - Related Videos
11:50
Fiber Type and Subcellular-Specific Analysis of Lipid Droplet Content in Skeletal Muscle
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Cited by 3 •
2022
Increasing evidence indicates that excessive infiltration of lipids inside skeletal muscle results in lipotoxicity and diabetes. Here, we present a complete protocol, including tissue processing, staining with Bodipy, image acquisition, and analysis, to quantify the size, density, and subcellular distribution of lipid droplets in a fiber-type specific manner.
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.
10:31
Three-dimensional Imaging and Analysis of Mitochondria within Human Intraepidermal Nerve Fibers
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2017
This protocol uses three-dimensional (3D) imaging and analysis techniques to visualize and quantify nerve-specific mitochondria. The techniques are applicable to other situations where one fluorescent signal is used to isolate a subset of data from another fluorescent signal.
08:36
Semi-automated Analysis of Mouse Skeletal Muscle Morphology and Fiber-type Composition
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Cited by 24 •
2017
Immunohistochemical staining of myosin heavy chain isoforms has emerged as the state-of-the-art discriminator of skeletal muscle fiber-type (i.e., type I, type IIA, type IIX, type IIB). Here, we present a staining protocol along with a novel semi-automated algorithm that facilitates rapid assessment of fiber-type and fiber morphology.
04:04
Measuring Retinal Vessel Diameter from Mouse Fluorescent Angiography Images
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Cited by 2 •
2023
Mouse retinal vasculature is particularly interesting in understanding the mechanisms of vascular pattern formation. This protocol automatically measures the diameter of mouse retinal vessels from fluorescent angiography fundus images at a fixed distance from the optic disk.
FAQs
Calibration establishes the relationship between image pixels and physical dimensions, allowing apparent widths to be converted into meaningful fiber diameters. Boundary identification then determines which pixels belong to each fiber rather than to the surrounding material. These two steps are essential because uncalibrated measurements cannot support reliable comparisons across images, samples, or processing conditions.
Mean diameter describes the central tendency of the measured fibers, while the range shows the span of observed sizes and variability indicates how consistently the material was produced. Examining these metrics together is more informative than reporting a single average: two samples may share a similar mean yet differ in uniformity, revealing different levels of fabrication consistency.
Fiber geometry matters because changing diameter can alter the structural features of a fibrous matrix. Measurements therefore help relate observed fiber size to scaffold porosity and surface area, as well as to mechanical behavior and cell interactions. In bioengineering, these links make diameter data useful for interpreting how a material’s architecture may influence its biological and physical performance.
Standardization makes measurements comparable across samples made under different processing conditions. When microscopy and calibrated image analysis are applied consistently, differences in mean diameter, size range, or variability can be interpreted as differences in the material rather than changes in how measurements were obtained. This supports more dependable evaluation of fabrication consistency and process-related effects.
The workflow begins with microscopy, followed by calibrated image analysis. Researchers identify fiber boundaries, use image calibration to convert pixel dimensions into physical units, and then calculate mean diameter, range, and variability. The resulting measurements provide a quantitative summary of the sample and create a basis for evaluating fabrication consistency and geometry-related properties.
Researchers apply Fiber Diameter Analysis to engineered matrices and other fibrous biomaterials when they need to connect material architecture with design goals. The resulting diameter statistics can inform assessment of scaffold porosity, surface area, mechanical behavior, and cell interactions. This makes the analysis relevant to tissue-engineering and regenerative applications, where fibrous structure guides material design.