Microfluidic Partitioning
Microfluidic Partitioning - Related Videos
10:35
Studies of Bacterial Chemotaxis Using Microfluidics - Interview
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2007
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Multi-step Variable Height Photolithography for Valved Multilayer Microfluidic Devices
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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.
01:14
Extraction: Partition and Distribution Coefficients
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2024
The distribution law or Nernst's distribution law is the law that governs the distribution of a solute between two immiscible solvents. This law, also known as the partition law, states that if a solute is added to the mixture of two immiscible solvents at a constant temperature, the solute is distributed between the two solvents in such a way that the ratio of solute concentrations in the solvents remains constant at equilibrium. For extracting a solute from an aqueous phase into an organic...
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 ...
10:59
Determination of Lipid Raft Partitioning of Fluorescently-tagged Probes in Living Cells by Fluorescence Correlation Spectroscopy (FCS)
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Cited by 9 •
2012
A technique to probe the lipid raft partitioning of fluorescent proteins at the plasma membrane of living cells is described. It takes advantage of the disparity in diffusion times of proteins located inside or outside of lipid rafts. Acquisition can be performed dynamically in control conditions or after drug addition.
FAQs
Partition quality depends on coordinated fluid flow and microscale design. Channel geometry helps define compartment dimensions, while surface properties influence how fluids behave at interfaces. Emulsification can create separate droplets, and controlled conditions help keep biological contents isolated. These choices affect cross-contamination control and measurement consistency.
Separating a sample into many small volumes makes rare targets easier to distinguish from the rest of the material. It also limits contact between reactions, cells, or molecules in neighboring compartments, reducing cross-contamination and reagent consumption. For digital nucleic acid quantification, this organization supports measurements that can reveal low-abundance targets with improved sensitivity.
By placing cells or molecules into separate microscale volumes, the method links an observed reaction or response to a more limited biological unit. That organization can support single-cell analysis instead of treating the entire sample as one combined population. The result is a way to examine individual biological responses while using small volumes and controlled compartmentalization.
A basic workflow begins by introducing biological sample or reagents into microscale channels, droplets, or wells. Fluid flow and the device's geometry or surface properties then guide formation of separate compartments. After isolation, researchers can examine the resulting cells, molecules, or reactions for quantification, sorting, screening, or single-cell measurements, depending on the experimental goal.
Its applications span several distinct biological tasks. Digital nucleic acid quantification uses compartment-based measurements, while single-cell analysis focuses on individual responses. The same platform approach can support cell sorting and high-throughput screening, allowing researchers to select applications according to whether they need counting, individual analysis, separation, or many parallel tests.
Its microscale format reduces reagent use and can enable rapid processing. Because compartments are formed within channels, droplets, or wells, the approach can be incorporated into automated platforms for research and diagnostics. In biology, this supports workflows that need sensitive detection, individual cell responses, or high-throughput evaluation while maintaining controlled sample organization.