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

Simultaneous charge carrier density mapping of SiC epilayers and substrates with terahertz time-domain spectroscopy.

Optics express·2025
Same author

Simulation of speckle interferometric results for enhanced measurement and automated defect detection.

Optics express·2025
Same author

Ultrafast Electron Temperature Dynamics in Spintronic Terahertz Emitters Studied by Optical-Pump Terahertz-Probe Spectroscopy.

ACS photonics·2025
Same author

Terahertz-induced nonlinear response in ZnTe.

Optics express·2025
Same author

Direct laser writing of 3D metallic mid- and far-infrared wave components.

Nanophotonics (Berlin, Germany)·2024
Same author

Electric field induced second harmonic generation in arsenic sulfide deposited by thermal evaporation.

Optics express·2024

Related Experiment Video

Updated: Aug 23, 2025

Patterning via Optical Saturable Transitions - Fabrication and Characterization
08:19

Patterning via Optical Saturable Transitions - Fabrication and Characterization

Published on: December 11, 2014

6.9K

Towards efficient structure prediction and pre-compensation in multi-photon lithography.

Nicolas Lang, Sven Enns, Julian Hering

    Optics Express
    |October 27, 2022
    PubMed
    Summary
    This summary is machine-generated.

    This study introduces a simple algorithm to predict microscale 3D printed structures using Direct Laser Writing (DLW). The method accurately forecasts final topography, minimizing deviations and reducing optimization loops for high-quality microstructures.

    More Related Videos

    Use of Sacrificial Nanoparticles to Remove the Effects of Shot-noise in Contact Holes Fabricated by E-beam Lithography
    07:47

    Use of Sacrificial Nanoparticles to Remove the Effects of Shot-noise in Contact Holes Fabricated by E-beam Lithography

    Published on: February 12, 2017

    7.3K
    Large-area Scanning Probe Nanolithography Facilitated by Automated Alignment and Its Application to Substrate Fabrication for Cell Culture Studies
    09:45

    Large-area Scanning Probe Nanolithography Facilitated by Automated Alignment and Its Application to Substrate Fabrication for Cell Culture Studies

    Published on: June 12, 2018

    9.7K

    Related Experiment Videos

    Last Updated: Aug 23, 2025

    Patterning via Optical Saturable Transitions - Fabrication and Characterization
    08:19

    Patterning via Optical Saturable Transitions - Fabrication and Characterization

    Published on: December 11, 2014

    6.9K
    Use of Sacrificial Nanoparticles to Remove the Effects of Shot-noise in Contact Holes Fabricated by E-beam Lithography
    07:47

    Use of Sacrificial Nanoparticles to Remove the Effects of Shot-noise in Contact Holes Fabricated by E-beam Lithography

    Published on: February 12, 2017

    7.3K
    Large-area Scanning Probe Nanolithography Facilitated by Automated Alignment and Its Application to Substrate Fabrication for Cell Culture Studies
    09:45

    Large-area Scanning Probe Nanolithography Facilitated by Automated Alignment and Its Application to Substrate Fabrication for Cell Culture Studies

    Published on: June 12, 2018

    9.7K

    Area of Science:

    • Microfabrication
    • Additive Manufacturing
    • Materials Science

    Background:

    • Microscale 3D printing, particularly Direct Laser Writing (DLW), faces challenges with structural deviations due to physico-chemical properties.
    • Achieving high fidelity in fabricated microstructures requires precise control over the printing process.

    Purpose of the Study:

    • To develop a simple, fast, and implementable algorithm for predicting the final topography of 3D printed structures using DLW.
    • To minimize deviations between target and actual microstructures by predicting outcomes before printing.

    Main Methods:

    • Approximating the three main steps of DLW (exposure, cross-linking, shrinkage) using mathematical operations.
    • Employing a Downhill-Simplex algorithm to optimize prediction parameters and refine accuracy.

    Main Results:

    • The algorithm demonstrated promising results, accurately predicting final structure topography.
    • Achieved a root-mean-square error (rmse) of 0.46 µm between predicted and printed topography, significantly lower than the 1.49 µm deviation from the target.
    • Reduced rmse from 4.04 µm to 0.33 µm with only two correction loops using the optimization algorithm.

    Conclusions:

    • The developed prediction algorithm offers a robust solution for minimizing structural deviations in microscale 3D printing.
    • This approach can significantly reduce the need for iterative optimization, enabling faster production of high-quality, conformal microstructures.