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 Experiment Video

Updated: Jun 5, 2026

Bioluminescent Bacterial Imaging In Vivo
05:06

Bioluminescent Bacterial Imaging In Vivo

Published on: November 4, 2012

Bioluminescence tomography with Gaussian prior.

Hao Gao, Hongkai Zhao, Wenxiang Cong

    Biomedical Optics Express
    |January 25, 2011
    PubMed
    Summary

    This study introduces a Gaussian-based model for bioluminescence tomography, improving accuracy and stability. The new method offers computational efficiency and validates well with experimental data.

    Related Concept Videos

    You might also read

    Related Articles

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

    Sort by
    Same author

    Immunosuppressive therapies adversely affect blood biochemical parameters in patients with inflammatory bowel disease: a meta-analysis.

    The Journal of international medical research·2019
    Same author

    Facile synthesis of Ag-CuO/SBA-15 for aerobic epoxidation of olefins with high activity.

    Nanotechnology·2019
    Same author

    Reinforcement of Polylactic Acid for Fused Deposition Modeling Process with Nano Particles Treated Bamboo Powder.

    Polymers·2019
    Same author

    Comparison of deep learning and human observer performance for detection and characterization of simulated lesions.

    Journal of medical imaging (Bellingham, Wash.)·2019
    Same author

    Bending Flexibility of Moso Bamboo (<i>Phyllostachys Edulis</i>) with Functionally Graded Structure.

    Materials (Basel, Switzerland)·2019
    Same author

    CT Super-Resolution GAN Constrained by the Identical, Residual, and Cycle Learning Ensemble (GAN-CIRCLE).

    IEEE transactions on medical imaging·2019

    Area of Science:

    • Biomedical Optics
    • Medical Imaging
    • Computational Biology

    Background:

    • Voxel-based representations in bioluminescence tomography are computationally intensive.
    • Accurate source localization is crucial for effective tomographic reconstruction.

    Purpose of the Study:

    • To develop and validate a novel Gaussian-based parameterization for bioluminescent sources in tomography.
    • To improve the accuracy, stability, and computational efficiency of bioluminescence tomography.

    Main Methods:

    • Parameterizing the bioluminescent source using global Gaussians.
    • Developing a reconstruction algorithm for Gaussian source models.
    • Simulating and validating the model with various source types and noisy data.

    Main Results:

    • The Gaussian model offers mathematical uniqueness and practical sufficiency for source approximation.
    • Significantly reduced computational burden due to fewer unknowns.
    • Improved accuracy and stability compared to traditional methods, even with noisy data and optical mismatch.

    Conclusions:

    • Gaussian parameterization is a superior alternative to voxel representation for bioluminescence tomography.
    • The proposed model and algorithm enhance reconstruction performance and are validated by in vivo data.

    More Related Videos

    Bioluminescence-Based Tumor Quantification Method for Monitoring Tumor Progression and Treatment Effects in Mouse Lymphoma Models
    07:12

    Bioluminescence-Based Tumor Quantification Method for Monitoring Tumor Progression and Treatment Effects in Mouse Lymphoma Models

    Published on: July 7, 2016

    Intracranial Implantation with Subsequent 3D In Vivo Bioluminescent Imaging of Murine Gliomas
    09:46

    Intracranial Implantation with Subsequent 3D In Vivo Bioluminescent Imaging of Murine Gliomas

    Published on: November 6, 2011

    Related Experiment Videos

    Last Updated: Jun 5, 2026

    Bioluminescent Bacterial Imaging In Vivo
    05:06

    Bioluminescent Bacterial Imaging In Vivo

    Published on: November 4, 2012

    Bioluminescence-Based Tumor Quantification Method for Monitoring Tumor Progression and Treatment Effects in Mouse Lymphoma Models
    07:12

    Bioluminescence-Based Tumor Quantification Method for Monitoring Tumor Progression and Treatment Effects in Mouse Lymphoma Models

    Published on: July 7, 2016

    Intracranial Implantation with Subsequent 3D In Vivo Bioluminescent Imaging of Murine Gliomas
    09:46

    Intracranial Implantation with Subsequent 3D In Vivo Bioluminescent Imaging of Murine Gliomas

    Published on: November 6, 2011