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

9.1K
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...
9.1K
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

10.8K
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...
10.8K

You might also read

Related Articles

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

Sort by
Same author

Effectiveness of Chemotherapy With/Without Radiotherapy for Locally Advanced Esophageal Squamous Cell Carcinoma: A Population-based Target Trial Emulation Study.

Anticancer research·2026
Same author

Effect of PM2.5 exposure on the risk of incident autoimmune diseases: a prospective cohort study in Taiwan.

Archives of public health = Archives belges de sante publique·2026
Same author

Development of a dual-energy CBCT calibration method for accurate electron density estimation in preclinical small-animal proton therapy dose planning.

Applied radiation and isotopes : including data, instrumentation and methods for use in agriculture, industry and medicine·2026
Same author

Unveiling mechanistic insights of inactivated Aspergillus niger spore by fishery-waste-derived chitosan via synchrotron radiation tomography.

Carbohydrate polymers·2026
Same author

Mitigation and quantification of high-frequency instabilities using progressive filtering in burst-mode ptychography.

Optics express·2026
Same author

Association of atrial high-rate episodes daily burden with the risk of cardiovascular death, heart failure hospitalization, and stroke.

Heart rhythm·2026

Related Experiment Video

Updated: Feb 28, 2026

Dynamic Pore-scale Reservoir-condition Imaging of Reaction in Carbonates Using Synchrotron Fast Tomography
10:18

Dynamic Pore-scale Reservoir-condition Imaging of Reaction in Carbonates Using Synchrotron Fast Tomography

Published on: February 21, 2017

8.9K

Fast Projection Matching for X-ray Tomography.

Chun-Chieh Wang1, Cheng-Cheng Chiang2, Biqing Liang3

  • 1National Synchrotron Radiation Research Center, 30076, Hsinchu, Taiwan. wang.jay@nsrrc.org.tw.

Scientific Reports
|June 18, 2017
PubMed
Summary

A new markerless algorithm improves 3D X-ray tomography by auto-aligning images iteratively. This enhances reconstruction quality for nano-tomography and micro-CT, reducing hardware needs.

More Related Videos

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

10.3K
A 3D Cartographic Description of the Cell by Cryo Soft X-ray Tomography
08:47

A 3D Cartographic Description of the Cell by Cryo Soft X-ray Tomography

Published on: March 15, 2021

4.7K

Related Experiment Videos

Last Updated: Feb 28, 2026

Dynamic Pore-scale Reservoir-condition Imaging of Reaction in Carbonates Using Synchrotron Fast Tomography
10:18

Dynamic Pore-scale Reservoir-condition Imaging of Reaction in Carbonates Using Synchrotron Fast Tomography

Published on: February 21, 2017

8.9K
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

10.3K
A 3D Cartographic Description of the Cell by Cryo Soft X-ray Tomography
08:47

A 3D Cartographic Description of the Cell by Cryo Soft X-ray Tomography

Published on: March 15, 2021

4.7K

Area of Science:

  • Materials Science and Engineering
  • Physics
  • Imaging and Microscopy

Background:

  • X-ray 3D tomographic techniques are essential for non-destructively imaging specimen morphology and internal structures.
  • Accurate alignment of 2D projections is critical for high-resolution 3D reconstructions, especially in nano-tomography.
  • Mechanical imperfections and thermal drift in rotational stages degrade tomographic resolution.

Purpose of the Study:

  • To develop a novel markerless auto-alignment algorithm for improving 3D X-ray tomography reconstruction quality.
  • To address the limitations of mechanical instability and thermal drift in high-resolution tomographic imaging.
  • To reduce hardware requirements and enhance the reliability of tomographic data processing.

Main Methods:

  • Proposed a markerless image auto-alignment algorithm utilizing an iterative approach.
  • Simplified traditional projection matching into two more efficient matching problems.
  • Validated the algorithm's performance for nano-tomography and X-ray micro-CT applications.

Main Results:

  • The developed algorithm significantly improves the accuracy and reliability of 3D tomographic reconstructions.
  • Demonstrated a substantial increase in speed and robustness compared to conventional projection matching methods.
  • Successfully reduced the stringent hardware requirements for nano-tomography and data processing.

Conclusions:

  • The markerless iterative auto-alignment algorithm offers a faster and more reliable solution for 3D X-ray tomography.
  • This method is broadly applicable to various tomographic techniques, including nano-tomography, X-ray micro-CT, and electron tomography.
  • The algorithm enhances spatial resolution and reduces the impact of mechanical and thermal artifacts in reconstructed volumes.