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Related Concept Videos

Laminar and Turbulent Flow01:07

Laminar and Turbulent Flow

Fluid dynamics is the study of fluids in motion. Velocity vectors are often used to illustrate fluid motion in applications like meteorology. For example, wind—the fluid motion of air in the atmosphere—can be represented by vectors indicating the speed and direction of the wind at any given point on a map. Another method for representing fluid motion is a streamline. A streamline represents the path of a small volume of fluid as it flows. When the flow pattern changes with time, the streamlines...
Eulerian and Lagrangian Flow Descriptions01:22

Eulerian and Lagrangian Flow Descriptions

Fluid flow analysis is critical in many scientific and engineering disciplines, and two principal approaches are used to describe this flow: the Eulerian and Lagrangian methods. These methods offer different perspectives on monitoring and analyzing the motion of fluids, each with distinct advantages depending on the scenario.
The Eulerian method focuses on fixed points in space where fluid properties, such as velocity, pressure, and temperature, are observed as the fluid moves between these...
Control Volume and System Representations01:16

Control Volume and System Representations

Two key frameworks are employed to analyze mass, energy, and momentum transfer: the control volume approach and the system approach. These frameworks offer different perspectives, depending on whether the focus is on a specific region in space (control volume approach) or a defined mass of fluid (system approach).
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Plane Potential Flows01:23

Plane Potential Flows

Plane potential flows simplify fluid motion by assuming the fluid to be irrotational and incompressible. These characteristics allow these flows to be described by a velocity potential function, ϕ, representing the flow speed in a given direction, and a stream function, ψ, that visualizes the flow path, both governed by Laplace's equation. These parameters help in estimating flow patterns, velocity distributions, and pressure fields around various hydraulic structures.
Uniform Flow
Uniform flow...
Couette Flow01:22

Couette Flow

Couette flow represents the flow of fluid between two parallel plates, with one plate fixed and the other moving with a constant velocity. This configuration allows for a simplified analysis using the Navier-Stokes equations, which govern fluid motion under conditions of viscosity and incompressibility. For Couette flow, the assumptions include a steady, laminar, incompressible flow with a zero-pressure gradient in the flow direction. This flow type is beneficial for understanding shear-driven...
Typical Model Studies01:30

Typical Model Studies

Fluid mechanics model studies often utilize scaled-down systems to predict fluid behavior in full-scale environments, such as river flows, dam spillways, and structures interacting with open surfaces. Maintaining Froude number similarity in river models is crucial, as it replicates surface flow features like wave patterns and velocities.

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Digital Microfluidics for Automated Proteomic Processing
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Microfluidics for morpholomics and spatial omics applications.

Nishanth Venugopal Menon1,2, Jeeyeon Lee3, Tao Tang4

  • 1Mechanobiology Institute, National University of Singapore, Singapore, 117411 Singapore.

Lab on a Chip
|January 27, 2025
PubMed
Summary
This summary is machine-generated.

Microfluidics enables precise single-cell analysis and spatial omics by enhancing fluid handling and spatial barcoding. These technologies are crucial for detailed cell and tissue characterization in advanced research.

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Area of Science:

  • Biotechnology
  • Microfluidics
  • Omics

Background:

  • Microfluidics has advanced single-cell applications through creative designs and automation.
  • Integration with AI and detection technologies expands single-cell investigations and spatial omics.

Purpose of the Study:

  • Review microfluidic technologies for morpholomics and spatial omics.
  • Focus on single-cell and tissue characterization.
  • Highlight microfluidics' role in integrating diverse omics fields.

Main Methods:

  • Exploration of fluid dynamic principles in microfluidic designs.
  • Analysis of microfluidic-assisted spatial barcoding techniques.
  • Review of applications in morpholomics and spatial omics.

Main Results:

  • Microfluidics enables precise fluid manipulation for enhanced morpholomics sample handling.
  • Microfluidics-assisted spatial barcoding achieves micrometer resolution for tissue profiling.
  • Microfluidics facilitates integration across multiple omics research areas.

Conclusions:

  • Microfluidics is pivotal for advanced single-cell and spatial omics research.
  • Challenges in practical translation of microfluidic technologies are identified.