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 Experiment Video

Updated: Jun 16, 2026

Digital Microfluidics for Automated Proteomic Processing
10:55

Digital Microfluidics for Automated Proteomic Processing

Published on: November 6, 2009

Machine vision for digital microfluidics.

Yong-Jun Shin1, Jeong-Bong Lee

  • 1Department of Electrical Engineering, The University of Texas at Dallas, 800 W. Campbell Rd., Richardson, Texas 75080, USA.

The Review of Scientific Instruments
|February 2, 2010
PubMed
Summary
This summary is machine-generated.

Related Concept Videos

You might also read

Related Articles

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

Sort by
Same author

Degradation-driven protein level oscillation in the yeast Saccharomyces cerevisiae.

Bio Systems·2022
Same author

Acoustic Wave-Driven Liquid Metal Expansion.

Micromachines·2022
Same author

Review of Electrothermal Micromirrors.

Micromachines·2022
Same author

Electric Field-Driven Liquid Metal Droplet Generation and Direction Manipulation.

Micromachines·2021
Same author

Biocompatibility of SU-8 and Its Biomedical Device Applications.

Micromachines·2021
Same author

Conversion of Polymer Surfaces into Nonwetting Substrates for Liquid Metal Applications.

Langmuir : the ACS journal of surfaces and colloids·2021
Same journal

Compressed multi-scale entropy and its application in mechanical fault diagnosis.

The Review of scientific instruments·2026
Same journal

Bidirectional drive and multi-resolution adjustment across frequency bands in inertial impact piezoelectric motors via multimodal resonant vibration.

The Review of scientific instruments·2026
Same journal

A magnetic field sensor based on flaky Terfenol-D material and dual fiber grating.

The Review of scientific instruments·2026
Same journal

A novel E-field eight-way cavity combiner for high-power S-band applications.

The Review of scientific instruments·2026
Same journal

Constant radius blade spring suspended bench for vibration isolation.

The Review of scientific instruments·2026
Same journal

Qualification of infrared optical fibers and emitters for a spectrometer for in situ planetary exploration: Results from the TRIS (TRansmission and Illumination System) project.

The Review of scientific instruments·2026
See all related articles

Machine vision enhances digital microfluidics for biological research. This integration enables intelligent, automated control and analysis in high-throughput imaging, advancing lab-on-a-chip applications.

Area of Science:

  • Biotechnology
  • Computer Vision
  • Microfluidics

Background:

  • Machine vision is crucial for industrial inspection and biological imaging, offering humanlike intelligence for complex tasks.
  • High-throughput biological imaging, like fluorescent reporter imaging, demands real-time analysis and control.
  • Digital microfluidics offers automated control and reduced sample requirements for lab-on-a-chip platforms.

Purpose of the Study:

  • To demonstrate the integration of machine vision with digital microfluidics for biological research.
  • To showcase machine vision's capability in controlling droplet movement and measuring biomolecular interaction kinetics.
  • To highlight the potential of machine vision-enhanced digital microfluidics for future biological imaging.

Main Methods:

More Related Videos

A Versatile Automated Platform for Micro-scale Cell Stimulation Experiments
12:21

A Versatile Automated Platform for Micro-scale Cell Stimulation Experiments

Published on: August 6, 2013

Microfluidic Platform with Multiplexed Electronic Detection for Spatial Tracking of Particles
11:54

Microfluidic Platform with Multiplexed Electronic Detection for Spatial Tracking of Particles

Published on: March 13, 2017

Related Experiment Videos

Last Updated: Jun 16, 2026

Digital Microfluidics for Automated Proteomic Processing
10:55

Digital Microfluidics for Automated Proteomic Processing

Published on: November 6, 2009

A Versatile Automated Platform for Micro-scale Cell Stimulation Experiments
12:21

A Versatile Automated Platform for Micro-scale Cell Stimulation Experiments

Published on: August 6, 2013

Microfluidic Platform with Multiplexed Electronic Detection for Spatial Tracking of Particles
11:54

Microfluidic Platform with Multiplexed Electronic Detection for Spatial Tracking of Particles

Published on: March 13, 2017

  • Developing machine vision algorithms for droplet motion control in digital microfluidic systems.
  • Applying machine vision to quantify the kinetics of biomolecular interactions within microfluidic devices.
  • Integrating machine vision with digital microfluidics for automated experimental procedures.

    • Main Results:

    • Successful demonstration of machine vision-based control over droplet manipulation.
    • Accurate measurement of biomolecular interaction kinetics using machine vision analysis.
    • Proof-of-concept for a digital microfluidics system enhanced by machine vision capabilities.

    Conclusions:

    • Machine vision can be effectively applied to digital microfluidics systems.
    • This integration offers enhanced automation and intelligence for biological imaging.
    • The developed system holds promise for advancing high-throughput biological research and diagnostics.