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

TOPSIS Multi-Attribute Decision-Making Model Utilizing Novel Distance Measure of Picture Fuzzy Sets and Its Application in Power Battery Recycling Evaluation.

Entropy (Basel, Switzerland)·2026
Same author

A Network Visualization Query System for Multi-Drug Compatibility Based on a WeChat Mini Program: A Preliminary Usability and Efficiency Evaluation.

JMIR formative research·2026
Same author

Phase Engineering of Pd-Te Hexagonal Nanoplates for Enhancing Nitrogen Oxidation.

Journal of the American Chemical Society·2026
Same author

Complete genomes of grapevine downy mildew reveal effector cluster evolution driven by complex structural variations.

Horticulture research·2026
Same author

Goblet-Like P-Driven Pt<sub>3</sub>Mn Alloys Enable High Power Density and 1000 h Durability in Practical Fuel Cells.

Journal of the American Chemical Society·2026
Same author

Ammonia mediated electrostatic adsorption synthesis of paired subnanoclusters with enhanced hydrogen oxidation performance.

Nature communications·2026
Same journal

A Coumarin-Based Probe for Sequential ON-OFF-ON Detection of Cu<sup>2+</sup> and Biothiols: Naked-Eye Detection, Smartphone RGB Readout and In Vivo Imaging.

Biosensors·2026
Same journal

Electropolymerized Molecularly Imprinted Polymers Supported on Carbon-Based Materials for (Bio)sensing: Direct and Indirect Detection Strategies.

Biosensors·2026
Same journal

Progress in (Photo)electrochemical Biosensors for the Detection of Amyloid-Beta Oligomer.

Biosensors·2026
Same journal

Design and Simulation of Lamotrigine Intermittent Release from a Subcutaneous Implant with an Enzymatic Biosensor Based on Clinical Data.

Biosensors·2026
Same journal

Prediction of Chronic Kidney Disease Based on Simulated Serum Analysis by Vibrational Spectroscopy.

Biosensors·2026
Same journal

AI/ML-Assisted SERS Biosensing for Biomolecular Detection: From Direct Spectral Response to Integrated Diagnostic Systems.

Biosensors·2026
See all related articles

Related Experiment Video

Updated: Jan 8, 2026

Multimodal Analytical Platform on a Multiplexed Surface Plasmon Resonance Imaging Chip for the Analysis of Extracellular Vesicle Subsets
06:12

Multimodal Analytical Platform on a Multiplexed Surface Plasmon Resonance Imaging Chip for the Analysis of Extracellular Vesicle Subsets

Published on: March 17, 2023

1.9K

Automatic Spot Identification Method for High Throughput Surface Plasmon Resonance Imaging Analysis.

Zhiyou Wang1, Xiaoqing Huang2, Zhiqiang Cheng3

  • 1School of Electronic and Communication, Changsha University, Changsha 410003, China. qhwzy@126.com.

Biosensors
|September 16, 2018
PubMed
Summary
This summary is machine-generated.

A new automatic spot identification method accurately locates spots in surface plasmon resonance imaging (SPRi) microarray data. This technique enhances high-throughput analysis by providing precise spot location and addressing information.

Keywords:
adaptive threshold binarizationimage enhancementprotein microarraysurface plasmon resonance imaging

More Related Videos

Determination of the Excitation and Coupling Rates Between Light Emitters and Surface Plasmon Polaritons
07:39

Determination of the Excitation and Coupling Rates Between Light Emitters and Surface Plasmon Polaritons

Published on: July 21, 2018

7.2K
Electronic Tongue Generating Continuous Recognition Patterns for Protein Analysis
08:46

Electronic Tongue Generating Continuous Recognition Patterns for Protein Analysis

Published on: September 16, 2014

8.2K

Related Experiment Videos

Last Updated: Jan 8, 2026

Multimodal Analytical Platform on a Multiplexed Surface Plasmon Resonance Imaging Chip for the Analysis of Extracellular Vesicle Subsets
06:12

Multimodal Analytical Platform on a Multiplexed Surface Plasmon Resonance Imaging Chip for the Analysis of Extracellular Vesicle Subsets

Published on: March 17, 2023

1.9K
Determination of the Excitation and Coupling Rates Between Light Emitters and Surface Plasmon Polaritons
07:39

Determination of the Excitation and Coupling Rates Between Light Emitters and Surface Plasmon Polaritons

Published on: July 21, 2018

7.2K
Electronic Tongue Generating Continuous Recognition Patterns for Protein Analysis
08:46

Electronic Tongue Generating Continuous Recognition Patterns for Protein Analysis

Published on: September 16, 2014

8.2K

Area of Science:

  • Biotechnology
  • Analytical Chemistry
  • Imaging Science

Background:

  • High-throughput analysis in surface plasmon resonance imaging (SPRi) requires accurate identification of microarray spots.
  • Existing methods may struggle with variations in microarray patterns, contrast, lighting, and spotting defects.

Purpose of the Study:

  • To develop an automated method for precise spot identification in SPRi microarray images.
  • To improve the efficiency and reliability of high-throughput SPRi data analysis.

Main Methods:

  • The method integrates video accessing, image enhancement, image processing, and parallel processing techniques.
  • It analyzes SPRi video data to identify spots within microarray images.

Main Results:

  • The developed method accurately locates spots across diverse microarray patterns, contrast levels, and lighting conditions.
  • It demonstrates robustness against common spotting defects.
  • The method successfully provides address information for identified spots.

Conclusions:

  • The automated spot identification method significantly enhances the analysis of high-throughput SPRi data.
  • This approach offers accurate and reliable spot localization, addressing limitations of previous techniques.