Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Focusing of Light in the Eye01:16

Focusing of Light in the Eye

Light rays enter the eye through the cornea, a transparent dome-shaped tissue that is the eye's outermost layer. The cornea bends or refracts, light rays traveling to the pupil. The shape of the cornea determines how much of the light is bent and whether the image will be focused correctly on the retina at the back of the eye. Once the light has passed through both refraction layers, it converges into a single focal point onto a small area. This is where photoreceptors start transforming...
Gradually Varying Flow01:29

Gradually Varying Flow

Gradually varying flow (GVF) in open channels describes situations where water depth changes slowly along the channel due to factors like non-uniform bed slope, channel shape variations, or obstructions. This flow type occurs when the depth adjusts gradually to balance gravitational forces, shear forces, and energy requirements, resulting in a low rate of depth change.Characteristics of Gradually Varying FlowGVF is commonly observed in natural streams, rivers, and canals, where flow depth...
Gradient Fields01:27

Gradient Fields

A gradient field is a vector field derived from a scalar field. A scalar field assigns a single numerical value to every point in space, such as temperature, pressure, or electric potential. The gradient field describes how that value changes from point to point. It gives both the direction of the fastest increase and the rate of change in that direction.For a scalar field f(x, y), the gradient is written as\begin{equation*}\nabla f=\left\langle \jfrac{\partial f}{\partial x},\jfrac{\partial...

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Measuring the Degree of Labeling of Antibody-Dye Conjugates with a Single-Molecule-Sensitive Digital Flow Cytometer.

Analytical chemistry·2026
Same author

Resilience enhancement strategies for distribution networks considering the coordination of 5G base stations and multiple flexible resources.

Scientific reports·2026
Same author

Cyt-Geist: Current and Future Challenges in Cytometry: Reports of the CYTO 2025 Conference Workshops.

Cytometry. Part A : the journal of the International Society for Analytical Cytology·2025
Same author

Heterogeneity of Extracellular Vesicles and Non-Vesicular Nanoparticles in Glioblastoma.

Journal of extracellular vesicles·2025
Same author

Extracellular Vesicles for Clinical Diagnostics: From Bulk Measurements to Single-Vesicle Analysis.

ACS nano·2025
Same author

Characterization of a Single-Molecule Sensitive Digital Flow Cytometer for Amplification-Free Digital Assays.

ACS nano·2025
Same journal

Denoising algorithm of Φ-OTDR systems based on adaptive fractional wavelet transform denoising.

Optics express·2026
Same journal

Millisecond photon-to-photon latency and high-speed volumetric projection system for optogenetics.

Optics express·2026
Same journal

Polarization-encoded coaxial structured light for high-precision 3D surface profilometry.

Optics express·2026
Same journal

Discrete freeform optical design based on collaborative optimization of point cloud and local normals.

Optics express·2026
Same journal

Ultrafast ghost imaging with 25 GHz speckle switching and wavelength-division multiplexing.

Optics express·2026
Same journal

Atomic vapor cells fabricated by femtosecond laser welding of standard-optical-quality glass.

Optics express·2026
See all related articles

Related Experiment Video

Updated: Jun 22, 2026

Digital Inline Holographic Microscopy (DIHM) of Weakly-scattering Subjects
10:16

Digital Inline Holographic Microscopy (DIHM) of Weakly-scattering Subjects

Published on: February 8, 2014

Optical gradient flow focusing.

Yiqiong Zhao1, Bryant S Fujimoto, Gavin D Jeffries

  • 1Department of Chemistry, University of Washington, Seattle, WA 98195-1700, USA.

Optics Express
|June 24, 2009
PubMed
Summary
This summary is machine-generated.

This study introduces optical gradient forces to center nanoparticles in microchannels for improved flow cytometry. This method enhances particle focusing for more efficient detection and sorting in fluidic systems.

More Related Videos

A Gradient-generating Microfluidic Device for Cell Biology
11:05

A Gradient-generating Microfluidic Device for Cell Biology

Published on: August 30, 2007

Microfluidic Imaging Flow Cytometry by Asymmetric-detection Time-stretch Optical Microscopy (ATOM)
07:19

Microfluidic Imaging Flow Cytometry by Asymmetric-detection Time-stretch Optical Microscopy (ATOM)

Published on: June 28, 2017

Related Experiment Videos

Last Updated: Jun 22, 2026

Digital Inline Holographic Microscopy (DIHM) of Weakly-scattering Subjects
10:16

Digital Inline Holographic Microscopy (DIHM) of Weakly-scattering Subjects

Published on: February 8, 2014

A Gradient-generating Microfluidic Device for Cell Biology
11:05

A Gradient-generating Microfluidic Device for Cell Biology

Published on: August 30, 2007

Microfluidic Imaging Flow Cytometry by Asymmetric-detection Time-stretch Optical Microscopy (ATOM)
07:19

Microfluidic Imaging Flow Cytometry by Asymmetric-detection Time-stretch Optical Microscopy (ATOM)

Published on: June 28, 2017

Area of Science:

  • Biophysics
  • Microfluidics
  • Optical Engineering

Background:

  • Flow cytometry is a crucial technique for cell analysis and sorting.
  • Traditional flow cytometry methods face challenges with particle focusing and detection efficiency.
  • Microfluidic devices offer miniaturized platforms for advanced biological analyses.

Purpose of the Study:

  • To develop and validate a novel optical-gradient-flow-focusing method for particle manipulation in microfluidics.
  • To enhance the efficiency of particle detection and sorting in flow cytometry.
  • To investigate the application of optical forces for precise particle guidance.

Main Methods:

  • Utilizing an elliptically shaped Gaussian beam to generate optical gradient forces.
  • Focusing the beam at the center of a microchannel to guide nanoparticles.
  • Employing numerical simulations to analyze nanoparticle trajectories under electroosmotic flow (EOF) and pressure-driven flow (PDF).

Main Results:

  • Demonstrated the principle of using optical gradient forces for particle focusing.
  • Simulations showed successful guidance of nanoparticles to the channel center.
  • The method is effective for both electroosmotic flow and pressure-driven flow conditions.

Conclusions:

  • The optical-gradient-flow-focusing method provides an efficient way to center particles in microfluidic channels.
  • This technique has the potential to significantly improve the performance of flow cytometry systems.
  • Numerical simulations confirm the viability and efficiency of optical forces for particle manipulation in microfluidics.