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

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...

Imaging Studies III: Computed Tomography

Imaging Studies III: Computed Tomography

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...

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...

You might also read

Related Articles

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

Sort by

Same author

A cautious user's guide in applying HMMs to physical systems.

The Journal of chemical physics·2025

Same author

Residues of the minimal sequence of G0S2 collectively contribute to ATGL inhibition while C-and N-terminal extensions promote binding to ATGL.

Biochimica et biophysica acta. Molecular and cell biology of lipids·2022

Same author

Use of induction therapy in pediatric heart transplant recipients in Switzerland - Analysis of the Swiss national database.

Transplant immunology·2021

Same author

Enhanced diffuse optical tomographic reconstruction using concurrent ultrasound information.

Philosophical transactions. Series A, Mathematical, physical, and engineering sciences·2021

Same author

Serial assessment of somatic and cardiovascular development in patients with single ventricle undergoing Fontan procedure.

International journal of cardiology·2020

Same author

Ventricular Flow Field Visualization During Mechanical Circulatory Support in the Assisted Isolated Beating Heart.

Annals of biomedical engineering·2019

Search research articles

Related Experiment Video

Updated: Jun 16, 2026

Correlative Microscopy for 3D Structural Analysis of Dynamic Interactions

Correlative Microscopy for 3D Structural Analysis of Dynamic Interactions

Published on: June 24, 2013

3D level set reconstruction of model and experimental data in Diffuse Optical Tomography.

M Schweiger¹, O Dorn, A Zacharopoulos

¹Department of Computer Science, University College London, Gower Street, London WC1E 6BT, UK. M.Schweiger@cs.ucl.ac.uk

|February 23, 2010

Summary

The level set technique enhances diffuse optical tomography by accurately reconstructing object shapes and sizes. This method improves the detection and localization of small, high-contrast targets in biomedical imaging.

More Related Videos

Scaled Anatomical Model Creation of Biomedical Tomographic Imaging Data and Associated Labels for Subsequent Sub-surface Laser Engraving (SSLE) of Glass Crystals

Scaled Anatomical Model Creation of Biomedical Tomographic Imaging Data and Associated Labels for Subsequent Sub-surface Laser Engraving (SSLE) of Glass Crystals

Published on: April 25, 2017

Label-free, High-Resolution 3D Imaging and Machine Learning Analysis of Intestinal Organoids via Low-Coherence Holotomography

Label-free, High-Resolution 3D Imaging and Machine Learning Analysis of Intestinal Organoids via Low-Coherence Holotomography

Published on: August 12, 2025

Related Experiment Videos

Last Updated: Jun 16, 2026

Correlative Microscopy for 3D Structural Analysis of Dynamic Interactions

Correlative Microscopy for 3D Structural Analysis of Dynamic Interactions

Published on: June 24, 2013

Scaled Anatomical Model Creation of Biomedical Tomographic Imaging Data and Associated Labels for Subsequent Sub-surface Laser Engraving (SSLE) of Glass Crystals

Scaled Anatomical Model Creation of Biomedical Tomographic Imaging Data and Associated Labels for Subsequent Sub-surface Laser Engraving (SSLE) of Glass Crystals

Published on: April 25, 2017

Label-free, High-Resolution 3D Imaging and Machine Learning Analysis of Intestinal Organoids via Low-Coherence Holotomography

Label-free, High-Resolution 3D Imaging and Machine Learning Analysis of Intestinal Organoids via Low-Coherence Holotomography

Published on: August 12, 2025

Area of Science:

Biomedical Optics
Image Reconstruction
Computational Imaging

Background:

The level set technique is an implicit shape-based image reconstruction method.
It allows recovery of location, size, and shape of objects with distinct contrast and well-defined boundaries.
Diffuse optical tomography (DOT) benefits from level sets for simultaneous recovery of inclusions differing in absorption or scattering parameters.

Purpose of the Study:

To apply the level set method to 3D reconstruction of objects in DOT.
To simultaneously reconstruct two inclusions with differing absorption and diffusion parameters.
To compare the performance of level set reconstruction with an image-based Gauss-Newton method.

Main Methods:

Application of the level set method for 3D image reconstruction.
Utilizing simulated model data and experimental frequency-domain DOT data.
Reconstruction of two inclusions with distinct optical properties within a cylindrical phantom.
Comparison with a Gauss-Newton iterative image-based method.

Main Results:

Simultaneous reconstruction of shape and contrast for two inclusions was achieved.
The level set technique demonstrated improved detection and localization of small, high-contrast targets.
Performance was evaluated against a Gauss-Newton iterative approach.

Conclusions:

The level set technique is effective for 3D diffuse optical tomography reconstruction.
It offers advantages in identifying and locating small, high-contrast targets compared to traditional methods.
This approach holds promise for advancing biomedical imaging and diagnostics.