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: Jan 1, 2026

Author Spotlight: Enhancement of Salient Object Detection for Smart Grid Applications
03:31

Author Spotlight: Enhancement of Salient Object Detection for Smart Grid Applications

Published on: December 15, 2023

968

Visualizing the prediction of laser cleaning: a dynamic preview method with a multi-scale conditional generative

YingHui Zhang, YiJia Zhao, Bo Sun

    Applied Optics
    |December 25, 2019
    PubMed
    Summary

    A new multi-scale conditional generative adversarial network (MS-CGAN) predicts laser cleaning outcomes. This AI tool helps optimize laser parameters for precise surface cleaning, saving resources and improving efficiency.

    Related Concept Videos

    End Point Prediction: Gran Plot01:07

    End Point Prediction: Gran Plot

    1.1K
    A Gran plot is used to predict the equivalence volume or endpoint of a potentiometric or acid-base titration without reaching the endpoint. Typically, titration data is collected as a function of the titrant's volume up to a point less than the equivalence volume and then transformed into a linear format. The straight line is extended to the x-axis, indicating the necessary titrant volume to achieve the equivalence point.
    For potentiometric titration, the Gran plot is created by plotting...
    1.1K

    You might also read

    Related Articles

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

    Sort by
    Same author

    Analysis of expression and prognostic significance of vimentin and the response to temozolomide in glioma patients.

    Tumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine·2016
    Same author

    Missing Messages of Clinical Pharmacologic Survey on Inotropic Drug Use in Neonatal Critical Care.

    Pediatric critical care medicine : a journal of the Society of Critical Care Medicine and the World Federation of Pediatric Intensive and Critical Care Societies·2016
    Same author

    Activin pathway enhances colorectal cancer stem cell self-renew and tumor progression.

    Biochemical and biophysical research communications·2016
    Same author

    Clinical outcome of endoscopic covered metal stenting for resolution of benign biliary stricture: Systematic review and meta-analysis.

    Digestive endoscopy : official journal of the Japan Gastroenterological Endoscopy Society·2016
    Same author

    MicroRNA 182 inhibits CD4<sup>+</sup>CD25<sup>+</sup>Foxp3<sup>+</sup> Treg differentiation in experimental autoimmune encephalomyelitis.

    Clinical immunology (Orlando, Fla.)·2016
    Same author

    Lymphoma and inflammation in the orbit: Diagnostic performance with diffusion-weighted imaging and dynamic contrast-enhanced MRI.

    Journal of magnetic resonance imaging : JMRI·2016

    Area of Science:

    • Materials Science
    • Computational Science
    • Laser Physics

    Background:

    • Laser-based surface processing offers high precision but is challenged by complex, nonlinear physiochemical interactions.
    • Suboptimal laser parameters can lead to substrate damage or incomplete cleaning, necessitating advanced preview methods.
    • Current methods lack flexibility and automation, hindering efficient parameter adjustment in laser cleaning practices.

    Purpose of the Study:

    • To develop an accurate, flexible, and automatic image preview method for laser surface cleaning.
    • To enable visualization of the cleaned surface prior to actual laser application.
    • To assist operators in adjusting laser parameters for optimal cleaning results, resource conservation, and efficiency enhancement.

    Main Methods:

    Related Experiment Videos

    Last Updated: Jan 1, 2026

    Author Spotlight: Enhancement of Salient Object Detection for Smart Grid Applications
    03:31

    Author Spotlight: Enhancement of Salient Object Detection for Smart Grid Applications

    Published on: December 15, 2023

    968
  • Implementation of a multi-scale conditional generative adversarial network (MS-CGAN) for predictive visualization.
  • The MS-CGAN model requires no prior knowledge of laser-material interaction mechanisms.
  • The network is trained to predict the visual outcome of laser cleaning based on input parameters.

    • Main Results:

    • MS-CGAN successfully visualizes high-fidelity predictions of laser cleaning effects.
    • Generated preview images accurately correspond to the final cleaned surfaces.
    • The method demonstrates effectiveness without needing to model complex photon-atom interactions.

    Conclusions:

    • The proposed MS-CGAN offers a powerful tool for previewing laser cleaning results.
    • This approach facilitates informed adjustments of laser parameters, leading to desired cleaning outcomes.
    • The technology presents significant industrial benefits, including resource savings, environmental sustainability, and reduced labor costs.