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

4.5K
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...
4.5K

You might also read

Related Articles

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

Sort by
Same author

A new centrifugal hypergravity piston cylinder apparatus.

The Review of scientific instruments·2025
Same author

Biosynthesis of ethyl oleate, a primer pheromone, in the honey bee (Apis mellifera L.).

Insect biochemistry and molecular biology·2012
Same author

Co-delivery strategies based on multifunctional nanocarriers for cancer therapy.

Current drug metabolism·2012
Same author

Efficacy of gemifloxacin for the treatment of experimental Staphylococcus aureus keratitis.

Journal of ocular pharmacology and therapeutics : the official journal of the Association for Ocular Pharmacology and Therapeutics·2012
Same author

Expression profile analysis of the polygalacturonase-inhibiting protein genes in rice and their responses to phytohormones and fungal infection.

Plant cell reports·2012
Same author

Characterizing natural dissolved organic matter in a freshly submerged catchment (Three Gorges Dam, China) using UV absorption, fluorescence spectroscopy and PARAFAC.

Water science and technology : a journal of the International Association on Water Pollution Research·2012

Related Experiment Video

Updated: Jul 10, 2025

Pore-scale Imaging and Characterization of Hydrocarbon Reservoir Rock Wettability at Subsurface Conditions Using X-ray Microtomography
12:18

Pore-scale Imaging and Characterization of Hydrocarbon Reservoir Rock Wettability at Subsurface Conditions Using X-ray Microtomography

Published on: October 21, 2018

14.0K

Automatic segmentation framework of X-Ray tomography data for multi-phase rock using Swin Transformer approach.

Hao Chen1, Xiaoqi Cao1, Xiyan Zhang2

  • 1College of Mechanical Engineering, Zhejiang Sci-tech University Hangzhou, Xiasha, 310018, Zhejiang, China.

Scientific Data
|November 21, 2023
PubMed
Summary

This study introduces a 3D XCT coal rock dataset and an advanced Swin Transformer method for analyzing its 3D meso-structure. This aids in understanding composite rock failure patterns and improving segmentation accuracy.

More Related Videos

Reservoir Condition Pore-scale Imaging of Multiple Fluid Phases Using X-ray Microtomography
08:02

Reservoir Condition Pore-scale Imaging of Multiple Fluid Phases Using X-ray Microtomography

Published on: February 25, 2015

12.6K
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

9.9K

Related Experiment Videos

Last Updated: Jul 10, 2025

Pore-scale Imaging and Characterization of Hydrocarbon Reservoir Rock Wettability at Subsurface Conditions Using X-ray Microtomography
12:18

Pore-scale Imaging and Characterization of Hydrocarbon Reservoir Rock Wettability at Subsurface Conditions Using X-ray Microtomography

Published on: October 21, 2018

14.0K
Reservoir Condition Pore-scale Imaging of Multiple Fluid Phases Using X-ray Microtomography
08:02

Reservoir Condition Pore-scale Imaging of Multiple Fluid Phases Using X-ray Microtomography

Published on: February 25, 2015

12.6K
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

9.9K

Area of Science:

  • Geology and Materials Science
  • Computational Imaging and Analysis

Background:

  • Understanding the 3D meso-structure of composite rocks like coal is crucial for predicting damage and failure patterns.
  • Traditional methods for analyzing rock microstructures often suffer from significant errors and low efficiency.

Purpose of the Study:

  • To present a comprehensive 3D X-ray computed tomography (XCT) dataset of coal rock.
  • To introduce an automatic semantic segmentation method based on the Swin Transformer (Swin-T) architecture for analyzing the dataset.
  • To improve the accuracy of segmenting small volume features within the rock microstructure.

Main Methods:

  • Acquisition of a 3D XCT dataset comprising 1372 slices of coal rock using a MicroXMT-400.
  • Development and application of an automatic semantic segmentation technique employing the Swin Transformer (Swin-T) architecture.
  • Implementation of a hybrid loss function to enhance segmentation accuracy for small features by mitigating the influence of large volume features.

Main Results:

  • A detailed 3D XCT dataset of coal rock, with high-resolution slices (1720 × 1771 pixels).
  • Demonstration of the Swin Transformer-based method's effectiveness in overcoming limitations of traditional segmentation techniques.
  • Improved segmentation accuracy for small volume features through the proposed hybrid loss function.

Conclusions:

  • The developed 3D XCT dataset and segmentation methodology provide valuable resources for researchers.
  • This work facilitates advanced finite element analysis and microstructural statistical analysis of coal rock.
  • The findings contribute to a better understanding of complex physical and mechanical behaviors in composite rock materials at various scales.