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

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

[Effects of long-chain fatty acid patterns in umbilical cord blood on neonatal birth size].

Wei sheng yan jiu = Journal of hygiene research·2026
Same author

Infantile pulmonary abscess due to <i>Mycobacterium abscessus</i> subsp. <i>massiliense</i> identified by integrated mNGS and targeted NGS: a rare case report.

Frontiers in pediatrics·2026
Same author

Intrinsically Mitochondria-Targeting Nanozyme via Coordination-Assembly of Natural Quercetin for Cascade Antioxidant Therapy of Cerebral Ischemia-Reperfusion Injury.

Advanced science (Weinheim, Baden-Wurttemberg, Germany)·2026
Same author

Mutually Reinforcing Polyphenol and Nanomedicines: Unlocking the Potential of Polyphenol-Based Nanodrugs for Liver Injury Therapy.

Advanced healthcare materials·2026
Same author

Dihydromyricetin Ameliorates Myocardial Ischemia-Reperfusion Injury by Modulating CKLF1-Mediated Cardiomyocyte Pyroptosis.

Phytotherapy research : PTR·2026
Same author

Biologically Effective Dose-Optimized Multi-Intensity-Modulated Proton Therapy: A Biologically Comparable Alternative to Proton Arc Therapy.

International journal of particle therapy·2026
Same journal

Denoising algorithm of Φ-OTDR systems based on adaptive fractional wavelet transform denoising.

Optics express·2026
Same journal

Millisecond photon-to-photon latency and high-speed volumetric projection system for optogenetics.

Optics express·2026
Same journal

Polarization-encoded coaxial structured light for high-precision 3D surface profilometry.

Optics express·2026
Same journal

Discrete freeform optical design based on collaborative optimization of point cloud and local normals.

Optics express·2026
Same journal

Ultrafast ghost imaging with 25 GHz speckle switching and wavelength-division multiplexing.

Optics express·2026
Same journal

Atomic vapor cells fabricated by femtosecond laser welding of standard-optical-quality glass.

Optics express·2026
See all related articles

Related Experiment Video

Updated: Jun 11, 2026

Computed Tomography-guided Time-domain Diffuse Fluorescence Tomography in Small Animals for Localization of Cancer Biomarkers
12:24

Computed Tomography-guided Time-domain Diffuse Fluorescence Tomography in Small Animals for Localization of Cancer Biomarkers

Published on: July 17, 2012

Quantitative fluorescence tomography using a combined tri-modality FT/DOT/XCT system.

Yuting Lin1, William C Barber, Jan S Iwanczyk

  • 1Tu and Yuen Center for Functional Onco-Imaging, University of California, Irvine, CA 92697 USA.

Optics Express
|July 1, 2010
PubMed
Summary
This summary is machine-generated.

This study introduces a novel tri-modality imaging system combining fluorescence, diffuse optical, and x-ray tomography. Integrating structural and functional information significantly improves quantitative fluorescence tomography accuracy.

More Related Videos

Hybrid &#181;CT-FMT imaging and image analysis
13:45

Hybrid µCT-FMT imaging and image analysis

Published on: June 4, 2015

Fluorescence-mediated Tomography for the Detection and Quantification of Macrophage-related Murine Intestinal Inflammation
07:05

Fluorescence-mediated Tomography for the Detection and Quantification of Macrophage-related Murine Intestinal Inflammation

Published on: December 15, 2017

Related Experiment Videos

Last Updated: Jun 11, 2026

Computed Tomography-guided Time-domain Diffuse Fluorescence Tomography in Small Animals for Localization of Cancer Biomarkers
12:24

Computed Tomography-guided Time-domain Diffuse Fluorescence Tomography in Small Animals for Localization of Cancer Biomarkers

Published on: July 17, 2012

Hybrid &#181;CT-FMT imaging and image analysis
13:45

Hybrid µCT-FMT imaging and image analysis

Published on: June 4, 2015

Fluorescence-mediated Tomography for the Detection and Quantification of Macrophage-related Murine Intestinal Inflammation
07:05

Fluorescence-mediated Tomography for the Detection and Quantification of Macrophage-related Murine Intestinal Inflammation

Published on: December 15, 2017

Area of Science:

  • Biomedical Imaging
  • Optical Physics
  • Medical Physics

Background:

  • Quantitative fluorescence tomography (FT) is crucial for in-vivo molecular imaging.
  • Accurate reconstruction in FT is challenged by optical heterogeneity and limited anatomical information.
  • Multi-modality approaches offer potential for improved image reconstruction accuracy.

Purpose of the Study:

  • To present a fully integrated tri-modality system combining fluorescence tomography (FT), diffuse optical tomography (DOT), and x-ray computed tomography (XCT).
  • To evaluate the system's performance for quantitative fluorescence tomography using multi-modality imaging.
  • To leverage anatomical and functional prior information for enhanced FT reconstruction.

Main Methods:

  • Development of a novel, fully integrated tri-modality imaging system (FT/DOT/XCT).
  • Utilizing XCT for structural prior information and DOT for optical background heterogeneity (functional prior).
  • Employing these priors to guide and constrain the FT reconstruction algorithm.

Main Results:

  • Accurate localization of a 2.4 mm fluorescence inclusion was achieved using functional prior information alone.
  • Fluorophore concentration recovery had a 70% error when only functional prior was used.
  • Accurate fluorophore concentration recovery (within 8% error) was achieved by combining both DOT functional and XCT structural priors.

Conclusions:

  • The integrated tri-modality system significantly enhances quantitative fluorescence tomography.
  • Combining structural (XCT) and functional (DOT) prior information is essential for accurate fluorophore concentration recovery.
  • This multi-modality approach represents a significant advancement in molecular imaging capabilities.