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

Protein Dynamics in Living Cells01:19

Protein Dynamics in Living Cells

2.8K
Different fluorescence-based techniques are used to study the protein dynamics in living cells. These techniques include FRAP, FRET, and PET.
Fluorescent recovery after photobleaching (FRAP) is a fluorescent-protein-based detection technique used to quantify protein movement rates within the cell. This method exposes a small portion of the cell to an intense laser beam. The laser beam causes permanent photobleaching of the fluorophore-tagged proteins in the exposed region. As the bleached...
2.8K

You might also read

Related Articles

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

Sort by
Same author

InCytokine, an Open-Source Software, Reveals a TREM2 Variant-Specific Cytokine Signature.

International journal of molecular sciences·2026
Same author

Specialized modification to the G4 composite method for computing formation enthalpies of nitrophenyl and nitrogen-heterocycle organic compounds.

The Journal of chemical physics·2025
Same author

DensToolKit2: A comprehensive open-source package for analyzing the electron density and its derivative scalar and vector fields.

The Journal of chemical physics·2024
Same author

Sensor Data Fusion Analysis for Broad Applications.

Sensors (Basel, Switzerland)·2024
Same author

Scalability of Cyber-Physical Systems with Real and Virtual Robots in ROS 2.

Sensors (Basel, Switzerland)·2023
Same author

Mutation Maker, An Open Source Oligo Design Platform for Protein Engineering.

ACS synthetic biology·2021
Same journal

RETRACTED: Zhang et al. A Novel Framework for Reconstruction and Imaging of Target Scattering Centers via Wide-Angle Incidence in Radar Networks. <i>Sensors</i> 2025, <i>25</i>, 6802.

Sensors (Basel, Switzerland)·2026
Same journal

Enhancing Unsupervised Multi-Source Domain Adaptation for Person Re-Identification via Mixture of Experts and Graph-Based Relation.

Sensors (Basel, Switzerland)·2026
Same journal

Development of an Instrumented Glove for Palmar Pressure Assessment in Kayakers.

Sensors (Basel, Switzerland)·2026
Same journal

Development and Experimental Validation of an Autonomous IoT-Based Monitoring System for Real-Time Water Quality Assessment in the Amazon River.

Sensors (Basel, Switzerland)·2026
Same journal

Semi-Supervised Adversarial Learning Framework for Controller Area Network Bus Intrusion Detection.

Sensors (Basel, Switzerland)·2026
Same journal

Smart Optimization Method for Safety Signs in Innovative Manufacturing Environments Integrating Industrial Field IoT Sensors and Knowledge Graphs.

Sensors (Basel, Switzerland)·2026
See all related articles

Related Experiment Video

Updated: Mar 24, 2026

Spot Variation Fluorescence Correlation Spectroscopy for Analysis of Molecular Diffusion at the Plasma Membrane of Living Cells
05:56

Spot Variation Fluorescence Correlation Spectroscopy for Analysis of Molecular Diffusion at the Plasma Membrane of Living Cells

Published on: November 12, 2020

3.4K

Laser Spot Detection Based on Reaction Diffusion.

Alejandro Vázquez-Otero1,2, Danila Khikhlukha3, J M Solano-Altamirano4,5

  • 1Department of Computer Sciences and Automatic Control, UNED, C/ Juan del Rosal, 16, 28040 Madrid, Spain. alejandro.vazquez-otero@eli-beams.eu.

Sensors (Basel, Switzerland)
|March 4, 2016
PubMed
Summary
This summary is machine-generated.

This study introduces a Reaction Diffusion (RD) system for accurately locating laser spots, crucial for precise laser measurements. Experimental results show this new computational method offers reliable and accurate laser spot center detection.

Keywords:
Fitzhugh-Nagumo modelTuring patternslaser beam detectionlaser spot detectionlaser spot positionreaction diffusion computationreaction diffusion computersreaction diffusion models

More Related Videos

High-resolution Spatiotemporal Analysis of Receptor Dynamics by Single-molecule Fluorescence Microscopy
15:13

High-resolution Spatiotemporal Analysis of Receptor Dynamics by Single-molecule Fluorescence Microscopy

Published on: July 25, 2014

12.0K
Rapid Homogeneous Detection of Biological Assays Using Magnetic Modulation Biosensing System
06:58

Rapid Homogeneous Detection of Biological Assays Using Magnetic Modulation Biosensing System

Published on: June 13, 2010

10.1K

Related Experiment Videos

Last Updated: Mar 24, 2026

Spot Variation Fluorescence Correlation Spectroscopy for Analysis of Molecular Diffusion at the Plasma Membrane of Living Cells
05:56

Spot Variation Fluorescence Correlation Spectroscopy for Analysis of Molecular Diffusion at the Plasma Membrane of Living Cells

Published on: November 12, 2020

3.4K
High-resolution Spatiotemporal Analysis of Receptor Dynamics by Single-molecule Fluorescence Microscopy
15:13

High-resolution Spatiotemporal Analysis of Receptor Dynamics by Single-molecule Fluorescence Microscopy

Published on: July 25, 2014

12.0K
Rapid Homogeneous Detection of Biological Assays Using Magnetic Modulation Biosensing System
06:58

Rapid Homogeneous Detection of Biological Assays Using Magnetic Modulation Biosensing System

Published on: June 13, 2010

10.1K

Area of Science:

  • Optics and Photonics
  • Computational Science
  • Image Processing

Background:

  • Accurate laser spot center localization is critical for quality in laser-based processing and measurements.
  • Existing methods for laser spot detection may lack the robustness and precision required for demanding applications.

Purpose of the Study:

  • To introduce and evaluate a novel computational framework for robust laser spot center detection.
  • To demonstrate the effectiveness of Reaction Diffusion (RD) systems in solving geometric problems related to laser spot localization.

Main Methods:

  • Development of a Reaction Diffusion (RD) system as the core computational framework.
  • Implementation of algorithms for robustly identifying laser spot centers using the RD system.
  • Comparative analysis against a conventional laser spot localization approach.

Main Results:

  • The RD-based computation method demonstrated reliable and precise solutions for laser spot center determination.
  • Experimental results validated the superior performance of the RD approach compared to conventional methods.
  • The study confirmed the flexibility of RD systems for geometric computation tasks.

Conclusions:

  • Reaction Diffusion systems offer a powerful and flexible computational paradigm for accurate laser spot localization.
  • The proposed RD-based method enhances the precision and reliability of laser-based measurements.
  • This work opens new avenues for applying RD systems to geometric and image processing challenges in optics.