Axonal Fraction
Axonal Fraction - Related Videos
03:24
Two-Photon Laser Axotomy: A Method to Injure Axons in Zebrafish Embryos and Observe Axonal Recovery
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This video describes the method to injure axons in zebrafish embryos using two photon laser axotomy and observing axonal recovery from injury.
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Fractional Distillation
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Source: Laboratory of Dr. Nicholas Leadbeater — University of Connecticut Distillation is perhaps the most common laboratory technique employed by chemists for the purification of organic liquids. Compounds in a mixture with different boiling points separate into individual components when the mixture is carefully distilled. The two main types of distillation are "simple distillation" and "fractional distillation", and both are widely used in organic chemistry laboratories. Simple distillation...
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Fabrication of a Microfluidic Device for the Compartmentalization of Neuron Soma and Axons
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In this video we demonstrate the technique of soft lithography with polydimethyl siloxane (PDMS) which we use to farbricate a microfluidic device for culturing neurons.
07:06
Isolation and Quantification of Axonal mRNAs Using Porous Membrane Inserts and RTddPCR
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Cited by 1 •
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This study presents a robust method to isolate axonal mRNAs using porous membrane inserts, enabling total neuron vs. neurite separation and RNA purification. Combined with RTddPCR, the approach allows absolute quantification of low-copy transcripts, facilitating studies of mRNA transport and local translation with high sensitivity, reproducibility, and broad experimental applicability.
09:25
Laser Nanosurgery of Cerebellar Axons In Vivo
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Two-photon imaging, coupled to laser nanodissection, are useful tools to study degenerative and regenerative processes in the central nervous system with subcellular resolution. This protocol shows how to label, image, and dissect single climbing fibers in the cerebellar cortex in vivo.
FAQs
Microscopy estimates can distinguish axonal compartments from surrounding neural tissue through direct structural observation and quantitative separation. Diffusion-based measurements instead examine how water movement is restricted within and around axons, providing an indirect estimate of tissue organization. These approaches therefore assess related structural properties through different signals, which can support complementary analyses of white matter.
The proportion occupied by axons provides a quantitative view of axonal density and white-matter organization rather than relying only on qualitative appearance. Differences in this measure can indicate variation in structural composition among neural regions or conditions. Consequently, Axonal Fraction can help researchers interpret how tissue architecture relates to neural connectivity and structural integrity.
Water movement becomes informative because axonal compartments and their surrounding tissue constrain diffusion in different ways. Diffusion-based measurements use this restriction to characterize the relative contribution of axonal space within neural tissue. The resulting estimate can help connect microscopic organization with measurable imaging signals, while supporting comparisons of white-matter structure across regions or experimental conditions.
A general workflow begins by identifying neural tissue and selecting an approach that can distinguish axonal compartments from surrounding tissue. Researchers then use microscopy or diffusion-based measurements to acquire structural or water-movement information, separate the relevant compartments analytically, and calculate their proportion within the sampled tissue. The resulting value can be compared across defined biological groups.
This metric is useful when investigators need to compare white-matter organization across brain regions, developmental stages, or disease conditions. It can support studies of neural connectivity, injury, and neurodegeneration by providing a quantitative structural measure. It also helps researchers interpret imaging findings alongside tissue analyses, especially when structural differences may not be adequately described by visual inspection alone.
Comparing values between healthy and affected tissue can help characterize changes in axonal organization or structural integrity associated with injury and neurodegeneration. The measure does not by itself identify a specific cause, but it supplies quantitative evidence for evaluating tissue differences. In combination with imaging or microscopy, it can strengthen analyses of how neural structure changes under disease-related conditions.