Microfluidic System
Microfluidic System - Related Videos
10:35
Studies of Bacterial Chemotaxis Using Microfluidics - Interview
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Cited by 1 •
2007
10:18
Multi-step Variable Height Photolithography for Valved Multilayer Microfluidic Devices
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Cited by 24 •
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.
05:41
Applying Microfluidics to Electrophysiology
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Cited by 1 •
2007
Microfluidics can be integrated with standard electrophysiology techniques to allow new experimental modalities. Specifically, the motivation for the ...
06:55
Microfluidics-Assisted Selective Depolarization of Axonal Mitochondria
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2022
The present protocol describes the seeding and staining of neuronal mitochondria in microfluidic chambers. The fluidic pressure gradient in these chambers allows for the selective treatment of mitochondria in axons to analyze their properties in response to pharmacological challenges without affecting the cell body compartment.
06:47
Microfluidics in Assessing Platelet Function
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Cited by 3 •
2024
Platelet function under flow can be assessed and simulated hemostatic resuscitation can be modeled using a microfluidic device, which has applications in trauma and transfusion medicine.
FAQs
Laminar flow keeps fluid movement orderly, so adjacent streams follow predictable paths rather than becoming turbulently mixed. This gives researchers tighter control over transport, mixing, separation, and reaction conditions within patterned channels. In biological work, predictable flow can help maintain consistent exposure conditions during molecular assays and support controlled handling of cells or other small biological samples.
Several mechanisms can move samples through the channels, including pumps, pressure differences, capillary forces, and electrokinetic effects. Each provides a way to control how fluid enters, travels through, and exits the patterned channel network. Selecting among these mechanisms allows the system to match the requirements of a particular biological process, such as controlled transport, separation, or reaction.
Patterned channels establish the paths and local conditions that determine how fluids interact within the platform. Their design can support predictable transport, mixing, separation, or reaction steps while using very small sample volumes. This spatial control is especially relevant to biological assays, where defined fluid handling can improve process consistency and allow several operations to occur within one integrated system.
Sensors provide information about conditions within the platform, while automated control can adjust or coordinate system behavior. Together, they support more reproducible operation and help integrate fluid handling with analysis. This combination is important for high-throughput experiments and organ-on-chip models, where researchers need controlled environments that can more closely reproduce selected physiological conditions.
A typical workflow introduces a biological sample and reagents into patterned channels, moves them using a selected driving force, and controls their transport, mixing, separation, or reaction. Integrated sensors or automated controls may then support monitoring and analysis. The resulting workflow can reduce reagent consumption and shorten analysis time while maintaining defined experimental conditions.
They are particularly useful when experiments require precise fluid control, small reagent volumes, rapid analysis, or handling at the level of individual cells. These capabilities support cell sorting, single-cell analysis, molecular assays, and rapid diagnostic testing. Their ability to integrate multiple controlled operations also makes them suitable for high-throughput biological experiments.
In organ-on-chip models, integrated channels, sensors, and automated controls help create controlled environments that more closely reproduce selected physiological conditions. In diagnostics, the same platform features support rapid testing with limited reagent use and controlled molecular processing. These applications connect microscale fluid handling with biological measurement, modeling, and decision-making workflows.