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

7.0K
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...
7.0K

You might also read

Related Articles

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

Sort by
Same author

FPM2Stain Net: physics-guided super-resolution and multi-modal virtual staining for digital histopathology.

Biomedical optics express·2026
Same author

Deep Learning-based Alignment Measurement in Knee Radiographs.

Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention·2026
Same author

pH-regulated CQDs@Eu/GMP ICP sensor array and its fingerprinting on 96-well plates: Toward point-of-use/specific identification and quantitation of six tetracyclines in animal farm wastewater, milks and milk-derivative products.

Food chemistry·2024
Same author

Integrating Spatial and Morphological Characteristics into Melanoma Prognosis: A Computational Approach.

Cancers·2024
Same author

Structures and Biological Activities of Secondary Metabolites from <i>Xylaria</i> spp.

Journal of fungi (Basel, Switzerland)·2024
Same author

Reconstruction based on adaptive group least angle regression for fluorescence molecular tomography.

Biomedical optics express·2023

Related Experiment Video

Updated: Oct 16, 2025

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

Hybrid µCT-FMT imaging and image analysis

Published on: June 4, 2015

13.3K

A Fast and Automated FMT/XCT Reconstruction Strategy Based on Standardized Imaging Space.

Yu An, Chang Bian, Daxiang Yan

    IEEE Transactions on Medical Imaging
    |October 14, 2021
    PubMed
    Summary

    A new Standardized Imaging Space Reconstruction (SISR) method simplifies in vivo fluorescence molecular tomography (FMT) and X-ray computed tomography (XCT) imaging. This approach enhances data processing speed and accuracy for small animal imaging, improving reproducibility.

    More Related Videos

    X-ray Dose Reduction through Adaptive Exposure in Fluoroscopic Imaging
    08:30

    X-ray Dose Reduction through Adaptive Exposure in Fluoroscopic Imaging

    Published on: September 11, 2011

    14.6K
    Cryo-Electron Tomography Remote Data Collection and Subtomogram Averaging
    08:55

    Cryo-Electron Tomography Remote Data Collection and Subtomogram Averaging

    Published on: July 12, 2022

    5.3K

    Related Experiment Videos

    Last Updated: Oct 16, 2025

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

    Hybrid µCT-FMT imaging and image analysis

    Published on: June 4, 2015

    13.3K
    X-ray Dose Reduction through Adaptive Exposure in Fluoroscopic Imaging
    08:30

    X-ray Dose Reduction through Adaptive Exposure in Fluoroscopic Imaging

    Published on: September 11, 2011

    14.6K
    Cryo-Electron Tomography Remote Data Collection and Subtomogram Averaging
    08:55

    Cryo-Electron Tomography Remote Data Collection and Subtomogram Averaging

    Published on: July 12, 2022

    5.3K

    Area of Science:

    • Biomedical Imaging
    • Molecular Imaging
    • Computational Biology

    Background:

    • Traditional fluorescence molecular tomography (FMT) and X-ray computed tomography (XCT) imaging reconstruction methods face challenges with complex mesh generation and dual-modality data fusion.
    • These limitations hinder the application of in vivo imaging for quantitative analysis of fluorescent probe distributions in small animals.

    Purpose of the Study:

    • To develop a novel Standardized Imaging Space Reconstruction (SISR) method for accurate and rapid quantitative determination of fluorescent probe distributions in vivo.
    • To overcome the limitations of traditional methods and enable algorithm-driven, standardized data processing for small animal imaging.

    Main Methods:

    • Developed a novel Standardized Imaging Space Reconstruction (SISR) method.
    • Integrated standardized dual-modality image data fusion technology.
    • Employed a reconstruction strategy based on Laplace regularization and the L1-fused Lasso method.

    Main Results:

    • Demonstrated the feasibility of the SISR method through numerical simulations.
    • Successfully monitored in vivo programmed death ligand 1 (PD-L1) expression in mouse tumor xenografts.
    • The SISR method increased data throughput and reproducibility in quantitative in vivo imaging.

    Conclusions:

    • The proposed SISR method offers a standardized and algorithm-driven approach for in vivo FMT/XCT imaging reconstruction.
    • SISR enables rapid and accurate quantitative determination of fluorescent probe distributions, enhancing dynamic and precise in vivo imaging.
    • This advancement improves data throughput and reproducibility, facilitating more effective small animal studies.