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

Computed Tomography01:10

Computed Tomography

9.5K
Tomography refers to imaging by sections. Computed tomography (CT) is a non-invasive imaging technique that uses computers to analyze several cross-sectional X-rays to reveal minute details about structures in the body.
The technique was invented in the 1970s and is based on the principle that as X-rays pass through the body, they are absorbed or reflected at different levels. In the technique, a patient lies on a motorized platform while a computerized axial tomography (CAT) scanner rotates...
9.5K
Imaging Studies III: Computed Tomography01:27

Imaging Studies III: Computed Tomography

650
DefinitionComputed Tomography (CT) of the genitourinary (GU) tract is a non-invasive imaging modality that utilizes X-rays and computer processing to generate detailed cross-sectional images of the urinary system, encompassing the kidneys, ureters, bladder, and adjacent structures such as the adrenal glands.PurposeCT scans of the GU tract serve several diagnostic and therapeutic purposes, including:Diagnosis of Urinary Tract Diseases: Detects kidney stones, tumors, cysts, and congenital...
650
Electron Microscope Tomography and Single-particle Reconstruction01:07

Electron Microscope Tomography and Single-particle Reconstruction

3.0K
Transmission electron microscopy (TEM) can be used to determine the 3D structure of biological samples with the help of techniques such as electron microscope tomography and single-particle reconstruction. While single-particle reconstruction can examine macromolecules and macromolecular complexes in vitro conditions only, tomography permits the study of cell components or small cells in vivo.
Electron Tomography
Electron tomography can be performed either in TEM or STEM (scanning transmission...
3.0K
X-ray Imaging01:24

X-ray Imaging

11.0K
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...
11.0K

You might also read

Related Articles

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

Sort by
Same author

Multimodal Information-Driven Heterogeneous Graph Neural Networks for Protein-Ligand Binding Affinity Prediction.

Journal of chemical information and modeling·2026
Same author

Toll-like receptor 5 protects against murine lung fibrosis through reduced dysbiosis, and <i>TLR5</i> deficiency is associated with human IPF.

Science translational medicine·2026
Same author

SCMBench: benchmarking domain-specific and foundation models for single-cell multi-omics data integration.

Nature communications·2026
Same author

Adaptive AI for Cardiovascular Event Adjudication: Cardiovascular Event Adjudication Across Different Definitions in the ODYSSEY OUTCOMES and EUCLID Trials.

Circulation·2026
Same author

Microsecond Dynamics of the Pyrophosphate Ion Release in SARS-CoV‑2 RNA Polymerase.

JACS Au·2026
Same author

Incorporating valuable prior knowledge to improve deep learning prediction of genetic perturbation responses.

Genome research·2026

Related Experiment Video

Updated: Mar 29, 2026

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

10.4K

HorusEye: a self-supervised foundation model for generalizable X-ray tomography restoration.

Yuetan Chu1,2,3,4, Longxi Zhou1,2,3,5, Gongning Luo6,7,8,9

  • 1Computer Science Program, Computer, Electrical and Mathematical Sciences and Engineering Division, King Abdullah University of Science and Technology, Thuwal, Saudi Arabia.

Nature Computational Science
|March 28, 2026
PubMed
Summary

HorusEye, a new AI model, enhances X-ray tomography images by learning degradation directly from data. This self-supervised approach improves image quality and lesion detection across various imaging types.

More Related Videos

Scaled Anatomical Model Creation of Biomedical Tomographic Imaging Data and Associated Labels for Subsequent Sub-surface Laser Engraving SSLE of Glass Crystals
07:57

Scaled Anatomical Model Creation of Biomedical Tomographic Imaging Data and Associated Labels for Subsequent Sub-surface Laser Engraving SSLE of Glass Crystals

Published on: April 25, 2017

8.8K
Volume Segmentation and Analysis of Biological Materials Using SuRVoS Super-region Volume Segmentation Workbench
11:38

Volume Segmentation and Analysis of Biological Materials Using SuRVoS Super-region Volume Segmentation Workbench

Published on: August 23, 2017

10.3K

Related Experiment Videos

Last Updated: Mar 29, 2026

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

10.4K
Scaled Anatomical Model Creation of Biomedical Tomographic Imaging Data and Associated Labels for Subsequent Sub-surface Laser Engraving SSLE of Glass Crystals
07:57

Scaled Anatomical Model Creation of Biomedical Tomographic Imaging Data and Associated Labels for Subsequent Sub-surface Laser Engraving SSLE of Glass Crystals

Published on: April 25, 2017

8.8K
Volume Segmentation and Analysis of Biological Materials Using SuRVoS Super-region Volume Segmentation Workbench
11:38

Volume Segmentation and Analysis of Biological Materials Using SuRVoS Super-region Volume Segmentation Workbench

Published on: August 23, 2017

10.3K

Area of Science:

  • Medical Imaging
  • Artificial Intelligence
  • Computational Science

Background:

  • X-ray tomography is crucial in science and medicine.
  • Image degradation, especially in low-dose scenarios, hinders analysis.
  • Current restoration methods lack generalizability across different modalities and degradations.

Purpose of the Study:

  • To develop a generalizable X-ray tomography image restoration method.
  • To introduce HorusEye, a self-supervised foundation model for image restoration.
  • To overcome limitations of existing task-specific restoration techniques.

Main Methods:

  • Formulated image restoration as learning nonparametric acquisition degradation from data.
  • Introduced HorusEye, a self-supervised foundation model using interslice contrastive pretraining.
  • Trained HorusEye on over 100 million images without paired supervision.

Main Results:

  • HorusEye demonstrated generalization across diverse modalities and restoration tasks.
  • Achieved superior performance compared to task-specific methods.
  • Showcased improved photon efficiency and recovery of high-frequency details.
  • Clinical studies confirmed enhanced detectability of low-contrast anatomy and lesions.

Conclusions:

  • HorusEye effectively restores X-ray tomography images by learning degradation directly from data.
  • The model offers a general postprocessing solution applicable to various X-ray imaging scenarios.
  • HorusEye improves diagnostic accuracy and downstream task performance in medical imaging.