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

You might also read

Related Articles

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

Sort by
Same author

A microscopic computational simulation of [<sup>18</sup>F]FDG transport and metabolism identifies valid regimes for compartmental analysis.

Physics in medicine and biology·2026
Same author

A parametric study of mechanoporation through microfluidic design to modulate shear, compressive, and adhesion forces and loading rates.

Lab on a chip·2026
Same author

In Regard to Pratx et al.

International journal of radiation oncology, biology, physics·2026
Same author

Critical Shortfall in NIH Support for Medical Physics Research.

ArXiv·2026
Same author

Corrigendum: A computational model of radiolytic oxygen depletion during FLASH irradiation and its effect on the oxygen enhancement ratio (2019<i>Phys. Med. Biol.</i>64 185005).

Physics in medicine and biology·2025
Same author

In Vivo Positron Emission Particle Tracking (PEPT) of Single Cells Using an Expectation Maximization Algorithm.

IEEE transactions on medical imaging·2025

Related Experiment Video

Updated: Mar 6, 2026

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

21.1K

Performance evaluation of 18 F radioluminescence microscopy using computational simulation.

Qian Wang1, Debanti Sengupta1, Tae Jin Kim1

  • 1Department of Radiation Oncology, Stanford University, Stanford, CA, 94304, USA.

Medical Physics
|March 9, 2017
PubMed
Summary

This study simulates 18F positron imaging using radioluminescence microscopy to understand signal formation and optimize experimental setups. The computational model accurately predicts imaging performance, aiding future instrumentation and image reconstruction development.

Keywords:
computational simulationimager performance evaluationpositron imagingradioluminescence microscopy

More Related Videos

From Fast Fluorescence Imaging to Molecular Diffusion Law on Live Cell Membranes in a Commercial Microscope
15:10

From Fast Fluorescence Imaging to Molecular Diffusion Law on Live Cell Membranes in a Commercial Microscope

Published on: October 9, 2014

12.0K
Author Spotlight: Standardizing Spheroid Formation Methods for Metabolic and Oxygenation Analysis Using Fluorescence Lifetime Imaging Microscopy
08:43

Author Spotlight: Standardizing Spheroid Formation Methods for Metabolic and Oxygenation Analysis Using Fluorescence Lifetime Imaging Microscopy

Published on: August 9, 2024

2.0K

Related Experiment Videos

Last Updated: Mar 6, 2026

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

21.1K
From Fast Fluorescence Imaging to Molecular Diffusion Law on Live Cell Membranes in a Commercial Microscope
15:10

From Fast Fluorescence Imaging to Molecular Diffusion Law on Live Cell Membranes in a Commercial Microscope

Published on: October 9, 2014

12.0K
Author Spotlight: Standardizing Spheroid Formation Methods for Metabolic and Oxygenation Analysis Using Fluorescence Lifetime Imaging Microscopy
08:43

Author Spotlight: Standardizing Spheroid Formation Methods for Metabolic and Oxygenation Analysis Using Fluorescence Lifetime Imaging Microscopy

Published on: August 9, 2024

2.0K

Area of Science:

  • * Medical imaging
  • * Biophysics
  • * Computational modeling

Background:

  • * Radioluminescence microscopy visualizes beta-emitting radiotracers in live cells.
  • * Positron imaging requires precise understanding of signal formation and experimental parameters.
  • * Computational simulations are valuable tools for optimizing imaging modalities.

Purpose of the Study:

  • * To computationally simulate 18F positron imaging using radioluminescence microscopy.
  • * To understand radioluminescence signal formation within cells and scintillators.
  • * To assist in optimizing experimental setups and image processing for enhanced resolution and sensitivity.

Main Methods:

  • * GEANT4 Monte Carlo simulation for charged particle transport and scintillation.
  • * Depth-dependent point-spread function convolution to model microscope response.
  • * Stochastic numerical photosensor model for electron-multiplying charge-coupled device (EMCCD) camera simulation.
  • * ORBIT image reconstruction methodology for processing simulated EMCCD output.

Main Results:

  • * Validated EMCCD camera model against experimental data with 2% accuracy for noise simulation.
  • * Achieved a reconstructed spatial resolution of 18.5 μm near the scintillator, degrading to 3.5 μm/μm distance.
  • * Demonstrated system sensitivity of 26.5%, consistent with previous experiments.
  • * Simulated cell images were visually similar to experimentally acquired images.

Conclusions:

  • * The developed simulation methodology aligns with experimental radioluminescence microscopy measurements.
  • * This in silico approach provides a framework for improving image reconstruction.
  • * The simulation can guide future developments in radioluminescence microscopy instrumentation.