Microfluidic Imaging
Microfluidic Imaging - Related Videos
10:35
Studies of Bacterial Chemotaxis Using Microfluidics - Interview
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Cited by 1 •
2007
10:53
Image-guided, Laser-based Fabrication of Vascular-derived Microfluidic Networks
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Cited by 10 •
2017
This protocol outlines the implementation of image-guided, laser-based hydrogel degradation to fabricate vascular-derived, biomimetic microfluidic networks embedded in poly(ethylene glycol) diacrylate (PEGDA) hydrogels. These biomimetic microfluidic systems may be useful for tissue engineering applications, generation of in vitro disease models, and fabrication of advanced "on-a-chip" devices.
04:35
A Microfluidic Device for Real-Time Imaging and Pressure Tracking During Biofilm Formation
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2026
Source: Kurz, D. L., et al. Microfluidic Platform to Study Bioclogging in Porous Media. J. Vis. Exp. (2022)The video demonstrates the use of a microfluidic device to study biofilm formation. A bacterial suspension is introduced into the microchannel, followed by incubation to allow biofilm development. Flow is then resumed, and pressure monitoring along with imaging is used to detect biofilm formation and pore blockage over time.
09:47
A Microfluidic Technique to Probe Cell Deformability
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Cited by 20 •
2014
We demonstrate a microfluidics-based assay to measure the timescale for cells to transit through a sequence of micron-scale constrictions.
10:18
Multi-step Variable Height Photolithography for Valved Multilayer Microfluidic Devices
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Cited by 26 •
2017
Multilayer microfluidic devices often involve the fabrication of master molds with complex geometries for functionality. This article presents a complete protocol for multi-step photolithography with valves and variable height features tunable to any application. As a demonstration, we fabricate a microfluidic droplet generator capable of producing hydrogel beads.
FAQs
Flow control determines where cells, molecules, and chemical stimuli are located over time. Pumps or pressure-driven flow move small volumes through engineered microchannels, while compartments create physical separation and gradients regulate exposure. This combination lets investigators observe dynamic responses during time-lapse imaging rather than examining neural samples only after a fixed endpoint.
Separated compartments allow neuronal cell bodies and axons to be studied in distinct regions of the same engineered environment. This organization supports targeted observation of neurite growth and axonal transport while maintaining controlled relationships between compartments. In neuroscience experiments, it helps distinguish local cellular responses from processes occurring along neuronal projections.
Chemical gradients provide spatial control over stimulus exposure. Rather than exposing every cellular region to the same condition, the system can isolate neuronal compartments and regulate how stimuli reach them. This is useful for examining localized signaling or responses to injury and drugs, because observations can be linked to the pattern of chemical exposure.
The combination connects controlled experimental conditions with direct observation of biological changes. Fluidic control establishes where cells and stimuli are located, while optical or electrical imaging records processes as they occur. In neural research, this pairing supports high-resolution, time-dependent analysis of transport, signaling, migration, and other responses within engineered environments.
A typical workflow establishes a network of microchannels and compartments, introduces neuronal material into the appropriate regions, and uses pumps or pressure-driven flow to direct small volumes. Researchers then control stimulus exposure through the fluidic layout and acquire optical or electrical images over time to examine growth, transport, signaling, or response.
It is useful when researchers need to control how a drug or injury-related stimulus reaches different parts of a neural preparation. Compartmental organization and regulated flow can separate neuronal cell bodies from axons while observations continue over time. The resulting measurements help reveal changes in signaling, transport, migration, or other cellular responses.
Microfluidic imaging provides a reproducible way to observe neural processes under defined spatial and chemical conditions. Researchers can follow neurite growth, neuronal transport, signaling, and migration while maintaining engineered relationships between cellular regions. These observations support studies of neural circuits and models of neurodevelopment or disease by linking controlled exposures to measurable dynamic behavior.