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

You might also read

Related Articles

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

Sort by
Same author

Brillouin microscopy for contact- and label-free quantification of tissue stiffness in lung fibrosis.

American journal of respiratory cell and molecular biology·2026
Same author

Air-Stable Room-Temperature Quasi-2D Tin Iodide Perovskite Microlasers.

ACS photonics·2026
Same author

Machine learning-augmented lateral flow assays for point-of-care infectious disease diagnostics.

Lab on a chip·2026
Same author

Comprehensive characterization of nonlinear viscoelastic properties of arterial tissues using guided-wave optical coherence elastography.

Communications physics·2026
Same author

Nondestructive measurement of anterior cerebral artery stiffness using optical coherence elastography.

Journal of biomechanics·2026
Same author

Optical sensors for continuous glucose monitoring.

Progress in biomedical engineering (Bristol, England)·2025

Related Experiment Video

Updated: Mar 11, 2026

Author Spotlight: Development of a Smartphone-Enhanced Paper-Based Device for Rapid Dengue NS1 Detection
06:00

Author Spotlight: Development of a Smartphone-Enhanced Paper-Based Device for Rapid Dengue NS1 Detection

Published on: January 26, 2024

2.2K

Multiplex Smartphone Diagnostics.

Juan L Martinez-Hurtado1, Ali K Yetisen2,3, Seok-Hyun Yun4,5

  • 1Department of Chemical Engineering and Biotechnology, University of Cambridge, Tennis Court Road, Cambridge, CB2 1QT, UK.

Methods in Molecular Biology (Clifton, N.J.)
|November 30, 2016
PubMed
Summary
This summary is machine-generated.

Smartphone cameras can now quantify diagnostic tests, enabling point-of-care diagnostics. This mobile health innovation offers a new way to analyze biomarker readouts for medical testing.

Keywords:
ApplicationDiagnosticsMedicalMobileQuantitative assaysSmartphone

More Related Videos

Multiplexed Isothermal Amplification Based Diagnostic Platform to Detect Zika, Chikungunya, and Dengue 1
06:18

Multiplexed Isothermal Amplification Based Diagnostic Platform to Detect Zika, Chikungunya, and Dengue 1

Published on: March 13, 2018

15.0K
Multiplexed Fluorometric ImmunoAssay Testing Methodology and Troubleshooting
08:05

Multiplexed Fluorometric ImmunoAssay Testing Methodology and Troubleshooting

Published on: December 12, 2011

29.0K

Related Experiment Videos

Last Updated: Mar 11, 2026

Author Spotlight: Development of a Smartphone-Enhanced Paper-Based Device for Rapid Dengue NS1 Detection
06:00

Author Spotlight: Development of a Smartphone-Enhanced Paper-Based Device for Rapid Dengue NS1 Detection

Published on: January 26, 2024

2.2K
Multiplexed Isothermal Amplification Based Diagnostic Platform to Detect Zika, Chikungunya, and Dengue 1
06:18

Multiplexed Isothermal Amplification Based Diagnostic Platform to Detect Zika, Chikungunya, and Dengue 1

Published on: March 13, 2018

15.0K
Multiplexed Fluorometric ImmunoAssay Testing Methodology and Troubleshooting
08:05

Multiplexed Fluorometric ImmunoAssay Testing Methodology and Troubleshooting

Published on: December 12, 2011

29.0K

Area of Science:

  • Biomedical Engineering
  • Mobile Health Technology
  • Point-of-Care Diagnostics

Background:

  • Smartphones possess increasing computing power, enabling their use in medical diagnostics.
  • Mobile medical applications leverage smartphone cameras for data acquisition.
  • Current diagnostic methods can be enhanced by smartphone-based quantitative readouts.

Purpose of the Study:

  • To describe a protocol for quantifying commercial colorimetric diagnostic tests using a smartphone.
  • To demonstrate the potential of a stand-alone smartphone application for diagnostic analysis.
  • To explore the application of this method in multiplexed biomarker readout analyses.

Main Methods:

  • Development of a stand-alone smartphone application for image analysis.
  • Utilizing smartphone cameras for capturing colorimetric test results.
  • Protocol for quantitative analysis of diagnostic test readouts via smartphone.

Main Results:

  • Successful quantification of commercial colorimetric diagnostic tests using the developed application.
  • Demonstration of a feasible protocol for smartphone-based diagnostic analysis.
  • Potential for multiplexed analysis of multiple biomarker readouts.

Conclusions:

  • Smartphone applications can effectively quantify colorimetric diagnostic tests.
  • This approach offers a low-cost, accessible solution for point-of-care diagnostics.
  • The protocol supports multiplexed biomarker analysis, expanding diagnostic capabilities.