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

Super-resolution Fluorescence Microscopy01:37

Super-resolution Fluorescence Microscopy

14.8K
Super-resolution fluorescence microscopy (SRFM) provides a better resolution than conventional fluorescence microscopy by reducing the point spread function (PSF). PSF is the light intensity distribution from a point that causes it to appear blurred. Due to PSF, each fluorescing point appears bigger than its actual size, and it is the PSF interference of nearby fluorophores that causes the blurred image. Various approaches to achieving higher resolution through SRFM have recently been...
14.8K
Protein Dynamics in Living Cells01:19

Protein Dynamics in Living Cells

2.8K
Different fluorescence-based techniques are used to study the protein dynamics in living cells. These techniques include FRAP, FRET, and PET.
Fluorescent recovery after photobleaching (FRAP) is a fluorescent-protein-based detection technique used to quantify protein movement rates within the cell. This method exposes a small portion of the cell to an intense laser beam. The laser beam causes permanent photobleaching of the fluorophore-tagged proteins in the exposed region. As the bleached...
2.8K

You might also read

Related Articles

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

Sort by
Same author

Integrated therapy including acupuncture in a patient with long-term survival from spinal cord metastases of ALK-positive lung adenocarcinoma: a case report.

Frontiers in medicine·2026
Same author

Baseband delay multiply and sum beamformer for three-dimensional ultrasound localization microscopy.

Ultrasonics·2026
Same author

Architecting Highly Anisotropic Thermal Conductivity in Flexible Phase Change Materials for Directed Thermal Management of Cylindrical Li-Ion Batteries.

Materials (Basel, Switzerland)·2025
Same author

Quasi-static Elastography-driven Automated Robotic Ultrasound Screening and Localization.

IEEE transactions on bio-medical engineering·2025
Same author

Intraoperative Ultrafast Ultrasound Doppler Imaging of Degenerative Cervical Myelopathy Helps Predict Neurological Recovery.

Journal of ultrasound in medicine : official journal of the American Institute of Ultrasound in Medicine·2025
Same author

Quantitative evaluation of muscle quality and quantity using an ultrasound radio frequency signal.

Journal of orthopaedic surgery and research·2025

Related Experiment Video

Updated: Mar 27, 2026

Acquiring Fluorescence Time-lapse Movies of Budding Yeast and Analyzing Single-cell Dynamics using GRAFTS
17:01

Acquiring Fluorescence Time-lapse Movies of Budding Yeast and Analyzing Single-cell Dynamics using GRAFTS

Published on: July 18, 2013

13.4K

Shape-based reconstruction of dynamic fluorescent yield with a level set method.

Xuanxuan Zhang1, Jiulou Zhang2, Jing Bai3

  • 1Department of Biomedical Engineering, School of Medicine, Tsinghua University, Beijing, 100084, China. xuanxuan.zhang@hotmail.com.

Biomedical Engineering Online
|January 15, 2016
PubMed
Summary
This summary is machine-generated.

This study introduces a novel method for fluorescence molecular tomography (FMT) to accurately reconstruct dynamic fluorescent yields in small animals. The technique effectively handles non-stationary yields, improving biological process imaging.

More Related Videos

Reconstruction of Single-Cell Innate Fluorescence Signatures by Confocal Microscopy
07:29

Reconstruction of Single-Cell Innate Fluorescence Signatures by Confocal Microscopy

Published on: May 27, 2020

3.3K
High-resolution Spatiotemporal Analysis of Receptor Dynamics by Single-molecule Fluorescence Microscopy
15:13

High-resolution Spatiotemporal Analysis of Receptor Dynamics by Single-molecule Fluorescence Microscopy

Published on: July 25, 2014

12.0K

Related Experiment Videos

Last Updated: Mar 27, 2026

Acquiring Fluorescence Time-lapse Movies of Budding Yeast and Analyzing Single-cell Dynamics using GRAFTS
17:01

Acquiring Fluorescence Time-lapse Movies of Budding Yeast and Analyzing Single-cell Dynamics using GRAFTS

Published on: July 18, 2013

13.4K
Reconstruction of Single-Cell Innate Fluorescence Signatures by Confocal Microscopy
07:29

Reconstruction of Single-Cell Innate Fluorescence Signatures by Confocal Microscopy

Published on: May 27, 2020

3.3K
High-resolution Spatiotemporal Analysis of Receptor Dynamics by Single-molecule Fluorescence Microscopy
15:13

High-resolution Spatiotemporal Analysis of Receptor Dynamics by Single-molecule Fluorescence Microscopy

Published on: July 25, 2014

12.0K

Area of Science:

  • Biomedical Imaging
  • Optical Imaging Techniques
  • Molecular Imaging

Background:

  • Fluorescence molecular tomography (FMT) is a key optical imaging technique for visualizing biological processes in vivo.
  • A significant challenge in FMT is accurately reconstructing fluorescent agent distributions when the fluorescent yield is non-stationary.
  • This non-stationarity increases the number of unknown parameters, complicating reconstruction.

Purpose of the Study:

  • To develop and validate a novel method for reconstructing dynamic fluorescent yields in FMT.
  • To address the challenges posed by non-stationary fluorescent yields in quantitative FMT.
  • To improve the accuracy of biological process imaging using FMT.

Main Methods:

  • A shape-based reconstruction approach utilizing a level set method for FMT is proposed.
  • A level set function is employed to define target shape, reducing unknown parameters.
  • Fluorescent yields at different time points are described using a minimal set of parameters.

Main Results:

  • Simulations and phantom experiments confirmed the method's ability to accurately recover dynamic fluorescent yields.
  • The proposed approach successfully reconstructed target shapes and locations.
  • Effective recovery of dynamic fluorescent yields was demonstrated.

Conclusions:

  • The developed method effectively manages non-stationary fluorescent yields in FMT.
  • Accurate reconstruction of fluorescent yields at each projection angle is achievable.
  • This technique enhances the quantitative capabilities of FMT for dynamic biological studies.