Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Computed Tomography

Computed Tomography

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...

Electron Microscope Tomography and Single-particle Reconstruction

Electron Microscope Tomography and Single-particle Reconstruction

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...

You might also read

Related Articles

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

Sort by

Same author

Post marketing safety surveillance of atezolizumab based on a retrospective analysis of the FDA adverse events reporting system (FAERS).

Scientific reports·2025

Same author

In-depth summary of adverse events associated with Flurbiprofen: A real-world pharmacovigilance study from 2004 to 2024 using the FAERS database.

PloS one·2025

Same author

Extract of <i>Allium Chinense</i> G. Don, a Medicinal Plant, Ameliorates Myocardial Ischemia-Reperfusion Injury by Inhibiting Platelet Activation.

Current issues in molecular biology·2025

Same author

Unveiling the nexus of p53 and PD-L1: insights into immunotherapy resistance mechanisms in hepatocellular carcinoma.

American journal of cancer research·2025

Same author

A real-world drug safety surveillance study from the FAERS database of hepatocellular carcinoma patients receiving pembrolizumab alone and plus lenvatinib.

Scientific reports·2025

Same author

<i>Eucalyptus</i> and Native Broadleaf Mixed Cultures Boost Soil Multifunctionality by Regulating Soil Fertility and Fungal Community Dynamics.

Journal of fungi (Basel, Switzerland)·2024

Same journal

Compressed multi-scale entropy and its application in mechanical fault diagnosis.

The Review of scientific instruments·2026

Same journal

Bidirectional drive and multi-resolution adjustment across frequency bands in inertial impact piezoelectric motors via multimodal resonant vibration.

The Review of scientific instruments·2026

Same journal

A magnetic field sensor based on flaky Terfenol-D material and dual fiber grating.

The Review of scientific instruments·2026

Same journal

A novel E-field eight-way cavity combiner for high-power S-band applications.

The Review of scientific instruments·2026

Same journal

Constant radius blade spring suspended bench for vibration isolation.

The Review of scientific instruments·2026

Same journal

Qualification of infrared optical fibers and emitters for a spectrometer for in situ planetary exploration: Results from the TRIS (TRansmission and Illumination System) project.

The Review of scientific instruments·2026

See all related articles

Search research articles

Related Experiment Video

Updated: Mar 23, 2026

Monitoring Lung Function with Electrical Impedance Tomography in the Intensive Care Unit

Monitoring Lung Function with Electrical Impedance Tomography in the Intensive Care Unit

Published on: September 6, 2024

Modified sparse regularization for electrical impedance tomography.

Wenru Fan¹, Huaxiang Wang², Qian Xue¹

¹School of Aeronautical Automation, Civil Aviation University of China, Tianjin 300300, China.

The Review of Scientific Instruments

|April 3, 2016

Summary

This summary is machine-generated.

This study introduces a faster sparse regularization method for electrical impedance tomography (EIT) image reconstruction. The enhanced technique improves image quality and real-time performance, even with noise.

More Related Videos

Imaging Replicative Domains in Ultrastructurally Preserved Chromatin by Electron Tomography

Imaging Replicative Domains in Ultrastructurally Preserved Chromatin by Electron Tomography

Published on: May 20, 2022

Neuroimaging-Guided TMS–EEG for Real-Time Cortical Network Mapping

Neuroimaging-Guided TMS–EEG for Real-Time Cortical Network Mapping

Published on: June 13, 2025

Related Experiment Videos

Last Updated: Mar 23, 2026

Monitoring Lung Function with Electrical Impedance Tomography in the Intensive Care Unit

Monitoring Lung Function with Electrical Impedance Tomography in the Intensive Care Unit

Published on: September 6, 2024

Imaging Replicative Domains in Ultrastructurally Preserved Chromatin by Electron Tomography

Imaging Replicative Domains in Ultrastructurally Preserved Chromatin by Electron Tomography

Published on: May 20, 2022

Neuroimaging-Guided TMS–EEG for Real-Time Cortical Network Mapping

Neuroimaging-Guided TMS–EEG for Real-Time Cortical Network Mapping

Published on: June 13, 2025

Area of Science:

Medical Imaging
Biomedical Engineering
Computational Electromagnetics

Background:

Electrical impedance tomography (EIT) reconstructs internal electrical properties using boundary measurements.
EIT offers low cost, non-radiation, non-invasiveness, and high speed.
Image reconstruction in EIT is an ill-posed inverse problem requiring regularization.

Purpose of the Study:

To accelerate sparse regularization for EIT image reconstruction.
To improve the computational speed of L1-norm-based sparse regularization.
To enhance both image quality and real-time performance of EIT.

Main Methods:

Developed a modified sparse regularization method using a separable approximation algorithm.
Incorporated adaptive step-size and preconditioning techniques.
Evaluated the method using both simulation and experimental data.

Main Results:

The proposed method significantly improves calculation speed compared to standard sparse regularization.
Enhanced image quality is achieved, particularly in preserving boundary details.
The method demonstrates effectiveness across various noise levels and conductivity contrasts.

Conclusions:

The modified separable approximation algorithm offers a faster and more effective approach for EIT image reconstruction.
This advancement addresses the time-consumption limitation of traditional sparse regularization.
The technique shows promise for real-time EIT applications requiring high-fidelity imaging.