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

Reconstruction of Signal using Interpolation01:10

Reconstruction of Signal using Interpolation

437
Signal processing techniques are essential for accurately converting continuous signals to digital formats and vice versa. When a continuous signal is sampled with a period T, the resulting sampled signal exhibits replicas of the original spectrum in the frequency domain, spaced at intervals equal to the sampling frequency. To handle this sampled signal, a zero-order hold method can be applied, which creates a piecewise constant signal by retaining each sample's value until the next...
437
Electron Microscope Tomography and Single-particle Reconstruction01:07

Electron Microscope Tomography and Single-particle Reconstruction

2.6K
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...
2.6K

You might also read

Related Articles

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

Sort by
Same author

Ultrasound tomography enhancement by signal feature extraction with modular machine learning method.

PloS one·2024
Same author

A Tactile Skin System for Touch Sensing with Ultrasound Tomography.

Sensors (Basel, Switzerland)·2023
Same author

Autonomous Face Classification Online Self-Training System Using Pretrained ResNet50 and Multinomial Naïve Bayes.

Sensors (Basel, Switzerland)·2023
Same author

Application of Machine Learning Algorithms to the Discretization Problem in Wearable Electrical Tomography Imaging for Bladder Tracking.

Sensors (Basel, Switzerland)·2023
Same author

An Ultrasound Tomography Method for Monitoring CO<sub>2</sub> Capture Process Involving Stirring and CaCO<sub>3</sub> Precipitation.

Sensors (Basel, Switzerland)·2021
Same author

Ultrasonic Time-of-Flight Computed Tomography for Investigation of Batch Crystallisation Processes.

Sensors (Basel, Switzerland)·2021
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: Nov 3, 2025

Real-Time Cardiac Mapping with a Noninvasive Imageless Electrocardiographic Imaging System
10:17

Real-Time Cardiac Mapping with a Noninvasive Imageless Electrocardiographic Imaging System

Published on: April 11, 2025

1.2K

Electrical Tomography Reconstruction Using Reconfigurable Waveforms in a FPGA.

Andres Vejar1,2, Tomasz Rymarczyk1,2

  • 1Institute of Computer Science and Innovative Technologies, University of Economics and Innovation in Lublin, 20-209 Lublin, Poland.

Sensors (Basel, Switzerland)
|June 2, 2021
PubMed
Summary
This summary is machine-generated.

This study developed a mobile electrical tomography system for simultaneous cardiac and pulmonary monitoring. The innovative FPGA-based design ensures precise data acquisition for improved medical imaging.

Keywords:
FPGAelectrical tomographypotential profiletomographic imaging

More Related Videos

Array Tomography Workflow for the Targeted Acquisition of Volume Information using Scanning Electron Microscopy
09:47

Array Tomography Workflow for the Targeted Acquisition of Volume Information using Scanning Electron Microscopy

Published on: July 15, 2021

5.1K
Real-time Monitoring of High Intensity Focused Ultrasound HIFU Ablation of In Vitro Canine Livers Using Harmonic Motion Imaging for Focused Ultrasound HMIFU
07:38

Real-time Monitoring of High Intensity Focused Ultrasound HIFU Ablation of In Vitro Canine Livers Using Harmonic Motion Imaging for Focused Ultrasound HMIFU

Published on: November 3, 2015

10.2K

Related Experiment Videos

Last Updated: Nov 3, 2025

Real-Time Cardiac Mapping with a Noninvasive Imageless Electrocardiographic Imaging System
10:17

Real-Time Cardiac Mapping with a Noninvasive Imageless Electrocardiographic Imaging System

Published on: April 11, 2025

1.2K
Array Tomography Workflow for the Targeted Acquisition of Volume Information using Scanning Electron Microscopy
09:47

Array Tomography Workflow for the Targeted Acquisition of Volume Information using Scanning Electron Microscopy

Published on: July 15, 2021

5.1K
Real-time Monitoring of High Intensity Focused Ultrasound HIFU Ablation of In Vitro Canine Livers Using Harmonic Motion Imaging for Focused Ultrasound HMIFU
07:38

Real-time Monitoring of High Intensity Focused Ultrasound HIFU Ablation of In Vitro Canine Livers Using Harmonic Motion Imaging for Focused Ultrasound HMIFU

Published on: November 3, 2015

10.2K

Area of Science:

  • Biomedical Engineering
  • Electrical Engineering
  • Medical Imaging

Background:

  • Electrical tomography requires precise synchronization of excitation and sensing for accurate subsurface imaging.
  • Simultaneous monitoring of cardiac and pulmonary activity presents unique challenges in data acquisition.
  • Existing systems may lack the flexibility for exploring diverse excitation waveforms.

Purpose of the Study:

  • To develop a mobile electrical tomography system for simultaneous cardiac and pulmonary monitoring.
  • To enable precise synchronization of excitation and sensing processes using an FPGA.
  • To facilitate the exploration and reconfiguration of excitation waveforms for improved data quality.

Main Methods:

  • Utilized a Field-Programmable Gate Array (FPGA) for simultaneous triggering of excitation signals and reading of sensed data.
  • Implemented a synchronized architecture sharing a common clock for independent processes.
  • Integrated the system with a microcontroller System on Chip (SoC) for IoT capabilities and on-line tracking.

Main Results:

  • Developed a novel measuring device for electrical tomography.
  • Successfully analyzed surface data acquired through the system.
  • Reconstructed subsurface images using the selected system configuration.

Conclusions:

  • The developed mobile electrical tomography system enables simultaneous recording of cardiac and pulmonary electrical potentials.
  • The FPGA-based architecture ensures precise synchronization, crucial for meaningful data acquisition in tomography.
  • The system offers potential for in vivo medical monitoring and advanced subsurface imaging applications.