Fluid Transport Imaging
Fluid Transport Imaging - Related Videos
02:41
In Vivo Imaging of Cerebrospinal Fluid Transport in a Mouse Brain Using Fluorescence Macroscopy
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2025
Source: Sweeney, A. M., et al. In Vivo Imaging of Cerebrospinal Fluid Transport through the Intact Mouse Skull using Fluorescence Macroscopy. J. Vis. Exp. (2019)This video demonstrates the process of visualizing cerebrospinal fluid (CSF) flow in a mouse brain using fluorescence imaging. A fluorescent tracer is injected into the cisterna magna (CM), allowing its movement with CSF to be tracked through the subarachnoid and perivascular spaces. Time-lapse imaging captures the tracer's journey,...
06:22
In Vivo Imaging of Cerebrospinal Fluid Transport through the Intact Mouse Skull using Fluorescence Macroscopy
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Cited by 26 •
2019
Transcranial optical imaging allows wide-field imaging of cerebrospinal fluid transport in the cortex of live mice through an intact skull.
12:13
Single-Molecule Imaging of Nuclear Transport
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2010
Single molecule microscopy approch provided novel insights into nuclear transport.
04:50
Neuromodulation and Mitochondrial Transport: Live Imaging in Hippocampal Neurons over Long Durations
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Cited by 7 •
2011
We describe a protocol that allows imaging of mitochondria in living neurons via fluorescence microscopy over long durations. Imaging over extended periods is accomplished through lentivirus-mediated expression of a mitochondrially targeted fluorescent protein and use of an inexpensive stage-top incubator that was designed and built in our laboratory.
15:31
Live Cell Imaging of Alphaherpes Virus Anterograde Transport and Spread
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Cited by 16 •
2013
Live cell imaging of alphaherpes virus infections enables analysis of the dynamic events of directed transport and intercellular spread. Here, we present methodologies that utilize recombinant viral strains expressing fluorescent fusion proteins to facilitate visualization of viral assemblies during infection of primary neurons.
FAQs
The measured signal provides a basis for linking observed transport behavior to physical flow properties. Tracking visible tracers or suspended particles can reveal movement through a channel or porous structure, while interfaces and concentration changes can show boundaries, mixing, or dispersion. These observations allow researchers to map pathways, estimate velocity, and locate regions where transport becomes restricted or irregular.
Each signal highlights a different aspect of transport. Tracers and suspended particles make movement through a fluid observable, interfaces reveal the position or evolution of fluid boundaries, and concentration changes expose redistribution within the system. Selecting among these signals helps investigators examine pathways, mixing, dispersion, leakage, or barriers according to the behavior being studied.
Imaging can expose spatial variations that a single flow measurement might miss. Researchers can identify preferred pathways, leakage, mixing zones, dispersed material, and barriers that interrupt transport. This is especially useful in porous materials, biological systems, and engineered devices, where local irregularities may determine how effectively mass, momentum, or heat moves through the system.
A study generally begins by selecting a visible tracer, suspended particle, interface, or concentration signal that represents the transport of interest. Researchers then observe it with optical or other sensors, use the recorded changes to map pathways and quantify movement, and examine the results for velocity, mixing, dispersion, leakage, or barriers. The measurements can subsequently be compared with computational predictions.
Engineering applications include microfluidic systems, heat exchangers, filtration devices, pipelines, and porous structures. In these settings, imaging can show whether fluid follows intended pathways, mixes as expected, leaks, or encounters transport barriers. The resulting measurements support device design and evaluation by connecting observed fluid behavior with performance involving mass, momentum, or heat transfer.
Measured transport patterns provide experimental evidence for evaluating computational models. Agreement or disagreement between observed pathways, velocities, mixing, dispersion, and leakage can reveal whether a model represents the system adequately. In engineering studies, this feedback helps identify flow irregularities and supports improved control of processes and devices that depend on predictable fluid transport.