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

8.8K
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...
8.8K
Imaging Studies III: Computed Tomography01:27

Imaging Studies III: Computed Tomography

400
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...
400
What is Variation?01:14

What is Variation?

18.6K
Apart from the measures of central tendency, distribution, outliers, and the changing characteristics of data with time, an important characteristic of any data set is its variation or spread. In some data sets, the data values are concentrated closely near the mean; in others, the data values are more widely spread out from the mean.
The range, standard deviation, standard error, and variance are the different measures of variation.
Range: The range is the difference between its maximum and...
18.6K
Variation: Normal Distribution, Range, and Standard Deviation02:32

Variation: Normal Distribution, Range, and Standard Deviation

28.6K
In the field of psychology, there are several ways to organize measurements of a trait, feature, or characteristic (i.e., variables). Qualitative data, such as ethnicity, can be tabulated into a frequency count to provide information about the proportion, as well as the variety of groups in a sample or population. On the other hand, researchers can perform a wider set of calculations on quantitative data. The mean, mode, and median, for instance, are central tendency measures to identify a...
28.6K
Variation01:19

Variation

8.0K
An important characteristic of any set of data is the variation in the data. In some data sets, the data values are concentrated closely near the mean; in other data sets, the data values are more widely spread out from the mean. The most common measure of variation, or spread, is the standard deviation, which is the square root of variance.
When independent and dependent variables are plotted on a scatter plot, the slope of a line is a value that describes the rate of change between the two...
8.0K
Conservative Site-specific Recombination and Phase Variation02:53

Conservative Site-specific Recombination and Phase Variation

6.9K
Because the DNA segments are cut and reorganized in a direction-specific manner, site-specific recombination has emerged as an efficient genetic engineering technique. Flippase and Cyclization recombinases or Flp and Cre, respectively, are two members of the tyrosine recombinase family derived from bacteriophages, that are used to mediate site-specific DNA insertions, deletions, and targeted expression of proteins in mammalian cell lines.
The recognition sites for Cre recombinase called LoxP...
6.9K

You might also read

Related Articles

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

Sort by
Same author

Fabrication of Black Body Grids by Thick Film Printing for Quantitative Neutron Imaging.

Journal of imaging·2022
Same author

AI-based design of a nuclear reactor core.

Scientific reports·2021
Same author

Volumetric Segmentation <i>via</i> Neural Networks Improves Neutron Crystallography Data Analysis.

IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing. IEEE/ACM International Symposium on Cluster, Cloud, and Grid Computing·2019
Same author

BraggNet: integrating Bragg peaks using neural networks.

Journal of applied crystallography·2019
Same author

Improving polarized neutron imaging for visualization of the Meissner effect in superconductors.

The Review of scientific instruments·2019
Same author

Improving the accuracy and resolution of neutron crystallographic data by three-dimensional profile fitting of Bragg peaks in reciprocal space.

Acta crystallographica. Section D, Structural biology·2018
Same journal

A compact low-power magnetic particle imaging scanner based on a permanent-magnet field-free-line generator with high gradient.

The Review of scientific instruments·2026
Same journal

Achieving ultrahigh resolution with high efficiency: Optical design of the two-dimensional Resonant Inelastic X-ray Scattering (2D-RIXS) spectrometer at NanoTerasu beamline 02U.

The Review of scientific instruments·2026
Same journal

Automated laboratory x-ray diffractometer and fluorescence spectrometer for high-throughput materials characterization.

The Review of scientific instruments·2026
Same journal

Nonlinear Bayesian Doppler tomography for simultaneous reconstruction of flow and temperature.

The Review of scientific instruments·2026
Same journal

A Reflectance-based multimodal wearable photoplethysmography (PPG) sensor.

The Review of scientific instruments·2026
Same journal

Temporal analysis of products-Raman (TAP-Raman): An integrated setup for operando spectroscopy and transient kinetic analysis.

The Review of scientific instruments·2026
See all related articles

Related Experiment Video

Updated: Feb 9, 2026

Neutron Radiography and Computed Tomography of Biological Systems at the Oak Ridge National Laboratory's High Flux Isotope Reactor
10:24

Neutron Radiography and Computed Tomography of Biological Systems at the Oak Ridge National Laboratory's High Flux Isotope Reactor

Published on: May 7, 2021

2.8K

Total variation-based neutron computed tomography.

Richard C Barnard1, Hassina Bilheux2, Todd Toops3

  • 1Computer Science and Mathematics Division, Oak Ridge National Laboratory, One Bethel Valley Road, P.O. Box 2008, MS-6211, Oak Ridge, Tennessee 37831-6211, USA.

The Review of Scientific Instruments
|June 6, 2018
PubMed
Summary
This summary is machine-generated.

This study introduces an efficient split Bregman algorithm for neutron computed tomography reconstruction. The method effectively reduces artifacts and captures features even with limited angular data, improving image quality in under-sampled scenarios.

More Related Videos

An Array-based Comparative Genomic Hybridization Platform for Efficient Detection of Copy Number Variations in Fast Neutron-induced Medicago truncatula Mutants
09:32

An Array-based Comparative Genomic Hybridization Platform for Efficient Detection of Copy Number Variations in Fast Neutron-induced Medicago truncatula Mutants

Published on: November 8, 2017

8.2K
Application of Deep Learning-Based Medical Image Segmentation via Orbital Computed Tomography
04:48

Application of Deep Learning-Based Medical Image Segmentation via Orbital Computed Tomography

Published on: November 30, 2022

3.5K

Related Experiment Videos

Last Updated: Feb 9, 2026

Neutron Radiography and Computed Tomography of Biological Systems at the Oak Ridge National Laboratory's High Flux Isotope Reactor
10:24

Neutron Radiography and Computed Tomography of Biological Systems at the Oak Ridge National Laboratory's High Flux Isotope Reactor

Published on: May 7, 2021

2.8K
An Array-based Comparative Genomic Hybridization Platform for Efficient Detection of Copy Number Variations in Fast Neutron-induced Medicago truncatula Mutants
09:32

An Array-based Comparative Genomic Hybridization Platform for Efficient Detection of Copy Number Variations in Fast Neutron-induced Medicago truncatula Mutants

Published on: November 8, 2017

8.2K
Application of Deep Learning-Based Medical Image Segmentation via Orbital Computed Tomography
04:48

Application of Deep Learning-Based Medical Image Segmentation via Orbital Computed Tomography

Published on: November 30, 2022

3.5K

Area of Science:

  • Physics
  • Computer Science
  • Materials Science

Background:

  • Neutron computed tomography (NCT) is crucial for non-destructive material analysis.
  • Traditional reconstruction methods like filtered back projection suffer from artifacts with limited angular data.
  • Inverse problem formulations offer a path to improved reconstruction quality.

Purpose of the Study:

  • To develop an efficient algorithm for NCT reconstruction from under-sampled angular measurements.
  • To suppress high-frequency artifacts common in NCT.
  • To enable accurate reconstruction with significantly fewer projection angles.

Main Methods:

  • Formulation of the NCT reconstruction as an inverse problem.
  • Application of a total variation (TV) penalty to suppress artifacts.
  • Implementation of a split Bregman algorithm for efficient computation.
  • Utilizing very inexact approximate linear solvers to reduce computational cost.

Main Results:

  • The split Bregman algorithm effectively suppresses artifacts in low-angular sampling NCT.
  • The method demonstrates the ability to capture small features even with extremely limited angles.
  • Successful application shown on both synthetic and real neutron source data.
  • Significant reduction in computational cost achieved through inexact solvers.

Conclusions:

  • The proposed algorithm provides an effective solution for NCT reconstruction under severe angular undersampling.
  • This approach enhances image quality and feature visibility in challenging data acquisition scenarios.
  • The method holds promise for improving the efficiency and applicability of NCT.