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

Magnetic Susceptibility and Permeability01:31

Magnetic Susceptibility and Permeability

1.3K
In linear magnetic materials, like paramagnets and diamagnets, magnetization is proportional to the magnetic field intensity. The constant of proportionality, a dimensionless number, is called magnetic susceptibility. The value of the susceptibility depends on the type of material.
When diamagnetic materials are placed under an external magnetic field, the moments opposite to the field are induced. Hence, the susceptibility for diamagnets has a minimal negative value of 10-5–10-6. Since...
1.3K
2D NMR: Overview of Heteronuclear Correlation Techniques01:18

2D NMR: Overview of Heteronuclear Correlation Techniques

276
Heteronuclear correlation spectroscopy is an analytical technique that investigates the coupling between different types of nuclei, often a proton and an X-nucleus, such as carbon-13 or nitrogen-15. This method is commonly used in nuclear magnetic resonance (NMR) spectroscopy to gain insights into complex chemical compounds' structural and compositional aspects. A typical heteronuclear correlation spectrum displays X-nucleus chemical shifts on one axis and a proton spectrum on the other...
276
2D NMR: Overview of Homonuclear Correlation Techniques01:16

2D NMR: Overview of Homonuclear Correlation Techniques

268
Homonuclear correlation spectroscopy (COSY) is a powerful technique used in Nuclear Magnetic Resonance (NMR) spectroscopy to study the correlations between nuclei of the same type within a molecule. It provides information about scalar couplings between adjacent nuclei, which helps determine connectivity and structural information. There are several COSY variants, each with its unique strengths and experimental parameters.
COSY90 is the standard two-dimensional (2D) COSY experiment that...
268
Magnetic Resonance Imaging01:24

Magnetic Resonance Imaging

5.5K
Magnetic resonance imaging (MRI) is a noninvasive medical imaging technique based on a phenomenon of nuclear physics discovered in the 1930s, in which matter exposed to magnetic fields and radio waves was found to emit radio signals. In 1970, a physician and researcher named Raymond Damadian noticed that malignant (cancerous) tissue gave off different signals than normal body tissue. He applied for a patent for the first MRI scanning device in clinical use by the early 1980s. The early MRI...
5.5K
Two-Dimensional (2D) NMR: Overview01:12

Two-Dimensional (2D) NMR: Overview

804
The 1D NMR spectrum of large and complex molecules like natural products has complicated splitting patterns and overlapping signals, which can be easily interpreted using 2-dimensional (2D) NMR. Unlike 1D NMR, 2D NMR has two frequency axes that provide the coupling information between the nucleus A and nucleus B in a molecule. The process from which 2D spectra are obtained has four steps.
The first step is the preparation period, during which nucleus A is excited with a radiofrequency pulse....
804
Magnetic Vector Potential01:15

Magnetic Vector Potential

746
In electrostatics, the electric field can be written as the negative gradient of the potential. In magnetostatics, the zero divergence of the magnetic field ensures that the magnetic field can be expressed as the curl of a vector potential. This potential is known as the magnetic vector potential.
Consider an ideal solenoid with n turns per unit length and radius R. If I is the current through the solenoid, the magnetic field inside the solenoid is expressed as the product of vacuum...
746

You might also read

Related Articles

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

Sort by
Same author

A SLIC-DBSCAN Based Algorithm for Extracting Effective Sky Region from a Single Star Image.

Sensors (Basel, Switzerland)·2021
Same author

2,2'-(1,3,5,7-Tetra-oxo-1,2,3,5,6,7-hexa-hydro-pyrrolo[3,4-f]isoindole-2,6-di-yl)diacetic acid N,N-dimethyl-formamide disolvate.

Acta crystallographica. Section E, Structure reports online·2011
Same author

4,4'-Bipyridine-2,3,4,5,6-penta-fluoro-benzoic acid (1/2).

Acta crystallographica. Section E, Structure reports online·2011
Same author

Development of a new duplex real-time polymerase chain reaction assay for hepatitis B viral DNA detection.

Virology journal·2011
Same author

Annexin A5-conjugated polymeric micelles for dual SPECT and optical detection of apoptosis.

Journal of nuclear medicine : official publication, Society of Nuclear Medicine·2011
Same author

[Preventive and therapeutic effects of quercetin on hyperuricemia and renal injury in rats].

Wei sheng yan jiu = Journal of hygiene research·2011
Same journal

RETRACTED: Zhang et al. A Novel Framework for Reconstruction and Imaging of Target Scattering Centers via Wide-Angle Incidence in Radar Networks. <i>Sensors</i> 2025, <i>25</i>, 6802.

Sensors (Basel, Switzerland)·2026
Same journal

Enhancing Unsupervised Multi-Source Domain Adaptation for Person Re-Identification via Mixture of Experts and Graph-Based Relation.

Sensors (Basel, Switzerland)·2026
Same journal

Development of an Instrumented Glove for Palmar Pressure Assessment in Kayakers.

Sensors (Basel, Switzerland)·2026
Same journal

Development and Experimental Validation of an Autonomous IoT-Based Monitoring System for Real-Time Water Quality Assessment in the Amazon River.

Sensors (Basel, Switzerland)·2026
Same journal

Semi-Supervised Adversarial Learning Framework for Controller Area Network Bus Intrusion Detection.

Sensors (Basel, Switzerland)·2026
Same journal

Smart Optimization Method for Safety Signs in Innovative Manufacturing Environments Integrating Industrial Field IoT Sensors and Knowledge Graphs.

Sensors (Basel, Switzerland)·2026
See all related articles

Related Experiment Video

Updated: Aug 22, 2025

Preparation and In Vitro Characterization of Dendrimer-based Contrast Agents for Magnetic Resonance Imaging
11:27

Preparation and In Vitro Characterization of Dendrimer-based Contrast Agents for Magnetic Resonance Imaging

Published on: December 4, 2016

10.0K

A Complement Method for Magnetic Data Based on TCN-SE Model.

Wenqing Chen1,2, Rui Zhang2, Chenguang Shi1,2

  • 1Innovation Academy for Microsatellites of Chinese Academy of Sciences, Shanghai 201203, China.

Sensors (Basel, Switzerland)
|November 11, 2022
PubMed
Summary
This summary is machine-generated.

This study reconstructs missing satellite magnetometer data by correcting stray magnetic interference and using a temporal convolutional network. This improves satellite attitude measurement and health monitoring accuracy.

Keywords:
TCN-SE networkactual magnetic datadifferent working conditionsmagnetometerstray magnetic

More Related Videos

Quantitative Magnetic Resonance Imaging of Skeletal Muscle Disease
09:30

Quantitative Magnetic Resonance Imaging of Skeletal Muscle Disease

Published on: December 18, 2016

19.6K
Chemical Vapor Deposition of an Organic Magnet, Vanadium Tetracyanoethylene
08:25

Chemical Vapor Deposition of an Organic Magnet, Vanadium Tetracyanoethylene

Published on: July 3, 2015

11.5K

Related Experiment Videos

Last Updated: Aug 22, 2025

Preparation and In Vitro Characterization of Dendrimer-based Contrast Agents for Magnetic Resonance Imaging
11:27

Preparation and In Vitro Characterization of Dendrimer-based Contrast Agents for Magnetic Resonance Imaging

Published on: December 4, 2016

10.0K
Quantitative Magnetic Resonance Imaging of Skeletal Muscle Disease
09:30

Quantitative Magnetic Resonance Imaging of Skeletal Muscle Disease

Published on: December 18, 2016

19.6K
Chemical Vapor Deposition of an Organic Magnet, Vanadium Tetracyanoethylene
08:25

Chemical Vapor Deposition of an Organic Magnet, Vanadium Tetracyanoethylene

Published on: July 3, 2015

11.5K

Area of Science:

  • Spacecraft engineering
  • Geophysics
  • Data science

Background:

  • Magnetometers are crucial for satellite attitude determination and navigation.
  • Microsatellite environments introduce stray magnetic interference, degrading magnetometer accuracy.
  • Missing telemetry data due to space environment challenges hinders magnetometer health monitoring.

Purpose of the Study:

  • To develop a robust method for reconstructing missing satellite magnetometer telemetry data.
  • To improve the accuracy of magnetometer measurements in challenging space environments.
  • To establish a foundation for reliable magnetometer health state judgment.

Main Methods:

  • Eliminated stray magnetic interference by correcting the installation matrix.
  • Analyzed residual autocorrelation characteristics.
  • Designed a temporal convolutional network-squeeze and excitation (TCN-SE) network for data extrapolation.
  • Utilized Mean Absolute Error (MAE) for performance analysis.

Main Results:

  • Successfully corrected stray magnetic interference.
  • Developed a TCN-SE network capable of modeling and extrapolating historical residual data.
  • Achieved a Mean Absolute Error (MAE) of 74.63 nT for reconstructed data.
  • Established accurate mapping from simulation to actual values for data reconstruction.

Conclusions:

  • The proposed method effectively reconstructs missing magnetometer telemetry data.
  • Accurate data reconstruction supports precise attitude measurement and magnetic navigation.
  • This work lays the groundwork for enhanced satellite magnetometer health monitoring.