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

Phase Contrast and Differential Interference Contrast Microscopy01:26

Phase Contrast and Differential Interference Contrast Microscopy

11.7K
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...
11.7K
X-ray Imaging01:24

X-ray Imaging

9.5K
German physicist Wilhelm Röntgen (1845–1923) was experimenting with electrical current when he discovered that a mysterious and invisible "ray" would pass through his flesh but leave an outline of his bones on a screen coated with a metal compound. In 1895, Röntgen made the first durable record of the internal parts of a living human: an "X-ray" image (as it came to be called) of his wife’s hand. Scientists worldwide quickly began their own experiments with...
9.5K

You might also read

Related Articles

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

Sort by
Same author

Enantioselective Radical Ring-Opening Cyanation of Oxime Esters by Dual Photoredox and Copper Catalysis.

Organic letters·2019
Same author

ACCELERATING MAGNETIC RESONANCE IMAGING VIA DEEP LEARNING.

Proceedings. IEEE International Symposium on Biomedical Imaging·2019
Same author

Technical note: Development and application of KASP assays for rapid screening of 8 genetic defects in Holstein cattle.

Journal of dairy science·2019
Same author

Sesquiterpenes and diterpenes from Euphorbia thymifolia.

Fitoterapia·2019
Same author

Glechomanamides A-C, Germacrane Sesquiterpenoids with an Unusual Δ<sup>8</sup>-7,12-Lactam Moiety from <i>Salvia scapiformis</i> and Their Antiangiogenic Activity.

Journal of natural products·2019
Same author

Parameter optimization framework on wave gradients of Wave-CAIPI imaging.

Magnetic resonance in medicine·2019

Related Experiment Video

Updated: Dec 13, 2025

3D Imaging of Soft-Tissue Samples using an X-ray Specific Staining Method and Nanoscopic Computed Tomography
07:01

3D Imaging of Soft-Tissue Samples using an X-ray Specific Staining Method and Nanoscopic Computed Tomography

Published on: October 24, 2019

10.1K

Enhancing the X-Ray Differential Phase Contrast Image Quality With Deep Learning Technique.

Yongshuai Ge, Peizhen Liu, Yifan Ni

    IEEE Transactions on Bio-Medical Engineering
    |August 4, 2020
    PubMed
    Summary

    A new deep convolutional neural network (CNN) algorithm, XP-NET, enhances X-ray differential phase contrast imaging (XPCI) by improving signal accuracy and reducing noise, showing promise for medical imaging.

    More Related Videos

    Phase Contrast and Differential Interference Contrast DIC Microscopy
    06:49

    Phase Contrast and Differential Interference Contrast DIC Microscopy

    Published on: August 6, 2008

    53.5K
    High-Speed Ultraviolet Photoacoustic Microscopy for Histological Imaging with Virtual-Staining assisted by Deep Learning
    09:31

    High-Speed Ultraviolet Photoacoustic Microscopy for Histological Imaging with Virtual-Staining assisted by Deep Learning

    Published on: April 28, 2022

    3.4K

    Related Experiment Videos

    Last Updated: Dec 13, 2025

    3D Imaging of Soft-Tissue Samples using an X-ray Specific Staining Method and Nanoscopic Computed Tomography
    07:01

    3D Imaging of Soft-Tissue Samples using an X-ray Specific Staining Method and Nanoscopic Computed Tomography

    Published on: October 24, 2019

    10.1K
    Phase Contrast and Differential Interference Contrast DIC Microscopy
    06:49

    Phase Contrast and Differential Interference Contrast DIC Microscopy

    Published on: August 6, 2008

    53.5K
    High-Speed Ultraviolet Photoacoustic Microscopy for Histological Imaging with Virtual-Staining assisted by Deep Learning
    09:31

    High-Speed Ultraviolet Photoacoustic Microscopy for Histological Imaging with Virtual-Staining assisted by Deep Learning

    Published on: April 28, 2022

    3.4K

    Area of Science:

    • Medical Imaging
    • Computational Imaging
    • Deep Learning

    Background:

    • Grating-based X-ray differential phase contrast imaging (XPCI) is a powerful technique for visualizing soft tissues.
    • Improving image quality and reducing radiation dose in XPCI remain significant challenges.

    Purpose of the Study:

    • To investigate the feasibility of using deep convolutional neural networks (CNNs) to enhance XPCI system performance.
    • To develop a novel algorithm for phase signal extraction and noise suppression in XPCI.

    Main Methods:

    • A deep CNN-based algorithm, XP-NET, was developed for phase signal extraction and noise reduction.
    • Numerical simulations and experimental studies were conducted using phantoms and biological specimens.
    • Image quality and dose reduction capabilities were evaluated under low radiation conditions.

    Main Results:

    • XP-NET improved DPC signal accuracy by over 15% compared to conventional methods.
    • XP-NET reduced DPC image noise by approximately 50% in low-dose imaging.
    • The algorithm demonstrated effective preservation of object details.

    Conclusions:

    • The developed XP-NET algorithm shows significant potential for improving DPC signal accuracy and reducing noise in XPCI.
    • Deep CNNs offer a promising approach to enhance XPCI performance and dose efficiency for biomedical applications.