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

Deconvolution01:20

Deconvolution

414
Deconvolution, also known as inverse filtering, is the process of extracting the impulse response from known input and output signals. This technique is vital in scenarios where the system's characteristics are unknown, and they must be inferred from the observable signals.
Deconvolution involves several mathematical techniques to derive the impulse response. One common approach is polynomial division. In this method, the input and output sequences are treated as coefficients of...
414
Phase Contrast and Differential Interference Contrast Microscopy01:26

Phase Contrast and Differential Interference Contrast Microscopy

11.4K
Phase-Contrast Microscopes
In-phase-contrast microscopes, interference between light directly passing through a cell and light refracted by cellular components is used to create high-contrast, high-resolution images without staining. It is the oldest and simplest type of microscope that creates an image by altering the wavelengths of light rays passing through the specimen. Altered wavelength paths are created using an annular stop in the condenser. The annular stop produces a hollow cone of...
11.4K

You might also read

Related Articles

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

Sort by
Same author

Genetic and environmental influences on serum lipid tracking: a population-based, longitudinal Chinese twin study.

Pediatric research·2010
Same author

The common rs9939609 variant of the fat mass and obesity-associated gene is associated with obesity risk in children and adolescents of Beijing, China.

BMC medical genetics·2010
Same author

Identification and evaluation of apoptotic compounds from Garcinia paucinervis.

Bioorganic & medicinal chemistry·2010
Same author

Elevated phosphatidylinositol 3,4,5-trisphosphate in glia triggers cell-autonomous membrane wrapping and myelination.

The Journal of neuroscience : the official journal of the Society for Neuroscience·2010
Same author

Detection of cytokeratin 19, human mammaglobin, and carcinoembryonic antigen-positive circulating tumor cells by three-marker reverse transcription-PCR assay and its relation to clinical outcome in early breast cancer.

The International journal of biological markers·2010
Same author

CXCR4 gene transfer contributes to in vivo reendothelialization capacity of endothelial progenitor cells.

Cardiovascular research·2010

Related Experiment Video

Updated: Nov 19, 2025

Shaping the Amplitude and Phase of Laser Beams by Using a Phase-only Spatial Light Modulator
08:39

Shaping the Amplitude and Phase of Laser Beams by Using a Phase-only Spatial Light Modulator

Published on: January 28, 2019

9.8K

Phase retrieval for single-frame interferogram with an irregular-shaped aperture based on deep learning.

Ying Li, Xin Liu, Zhongming Yang

    Optics Express
    |November 29, 2023
    PubMed
    Summary
    This summary is machine-generated.

    This study introduces a deep learning method for precise phase retrieval from interferograms, even with irregular apertures. The technique accurately reconstructs wavefronts, offering a robust alternative to traditional interferometry for optical surface measurements.

    More Related Videos

    Time Multiplexing Super Resolving Technique for Imaging from a Moving Platform
    06:25

    Time Multiplexing Super Resolving Technique for Imaging from a Moving Platform

    Published on: February 12, 2014

    8.5K
    High-resolution, High-speed, Three-dimensional Video Imaging with Digital Fringe Projection Techniques
    11:34

    High-resolution, High-speed, Three-dimensional Video Imaging with Digital Fringe Projection Techniques

    Published on: December 3, 2013

    15.7K

    Related Experiment Videos

    Last Updated: Nov 19, 2025

    Shaping the Amplitude and Phase of Laser Beams by Using a Phase-only Spatial Light Modulator
    08:39

    Shaping the Amplitude and Phase of Laser Beams by Using a Phase-only Spatial Light Modulator

    Published on: January 28, 2019

    9.8K
    Time Multiplexing Super Resolving Technique for Imaging from a Moving Platform
    06:25

    Time Multiplexing Super Resolving Technique for Imaging from a Moving Platform

    Published on: February 12, 2014

    8.5K
    High-resolution, High-speed, Three-dimensional Video Imaging with Digital Fringe Projection Techniques
    11:34

    High-resolution, High-speed, Three-dimensional Video Imaging with Digital Fringe Projection Techniques

    Published on: December 3, 2013

    15.7K

    Area of Science:

    • Optical Metrology
    • Computational Optics
    • Artificial Intelligence in Optics

    Background:

    • Phase retrieval is crucial for optical surface characterization.
    • Traditional methods struggle with irregular apertures and noise.
    • Zernike polynomials are widely used for wavefront decomposition.

    Purpose of the Study:

    • To develop a high-precision phase retrieval method using deep learning.
    • To extract Zernike coefficients from single-frame interferograms of irregular apertures.
    • To enable accurate phase distribution retrieval for complex optical surfaces.

    Main Methods:

    • A deep learning model was trained to extract Zernike coefficients.
    • Phase distribution was reconstructed using Zernike polynomials.
    • Simulations and experiments were conducted under various noise conditions.

    Main Results:

    • Achieved root mean square (RMS) wavefront errors on the order of 10-3 λ for irregular apertures.
    • Demonstrated high measurement accuracy and robustness against noise.
    • Experimental accuracy was comparable to commercial phase-shifting interferometers.

    Conclusions:

    • The proposed deep learning method offers high-precision phase retrieval for irregular apertures.
    • This technique provides a robust and accurate solution for optical surface metrology.
    • It is particularly useful for optical surfaces with non-standard aperture shapes.