Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Protein Dynamics in Living Cells

Protein Dynamics in Living Cells

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...

You might also read

Related Articles

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

Sort by

Same author

Morphological and Molecular Evidence for a New Species of <i>Ilex</i> (Aquifoliaceae) from Guangdong, China, with Insights into Its Phylogenetic Position Within <i>Ilex</i> sect. <i>Ilex</i>.

Plants (Basel, Switzerland)·2026

Same author

Accurate Identification of <i>Ilex</i> (Aquifoliaceae) Taxa Based on Leaf Morphology Using Deep Learning.

Plants (Basel, Switzerland)·2026

Same author

An Integrated Risk Prediction Model for Gout Using Clinical Data, Ultrasound Features, and Deep Learning: A Retrospective Multicenter Study.

Journal of inflammation research·2026

Same author

Principles and Key Technologies of Magnetic Particle Imaging System: A Comprehensive Review.

Journal of magnetic resonance imaging : JMRI·2025

Same author

Surface Adhesion Engineering for Armored Metasurfaces and Beyond.

Advanced science (Weinheim, Baden-Wurttemberg, Germany)·2025

Same author

Advances in Functional Near-Infrared Spectroscopy: Physical Principles and Expanding Applications in Neuroscience.

Journal of biophotonics·2025

Search research articles

Related Experiment Video

Updated: Jul 5, 2025

Autofluorescence Imaging to Evaluate Cellular Metabolism

Autofluorescence Imaging to Evaluate Cellular Metabolism

Published on: November 15, 2021

Dynamic fluorescence molecular tomography metabolic parameters solution based on problem decomposition and prior

Xiao Wei^1,2, Hongbo Guo^1,2, Yizhe Zhao^1,2

¹The School of Information Sciences and Technology, Northwest University, Xi'an, China.

Journal of Biophotonics

|January 11, 2024

Summary

This summary is machine-generated.

A new method called problem decomposition and prior refactor (PDPR) improves dynamic fluorescence molecular tomography (DFMT) for metabolic disease diagnosis. PDPR enhances the reconstruction of abnormal metabolic regions in animal models, aiding in liver disease detection.

Keywords:

dynamic fluorescence molecular tomography metabolic parameters multi‐stage iterative solution problem decomposition

More Related Videos

Hybrid µCT-FMT imaging and image analysis

Hybrid µCT-FMT imaging and image analysis

Published on: June 4, 2015

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

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

Published on: July 17, 2012

Related Experiment Videos

Last Updated: Jul 5, 2025

Autofluorescence Imaging to Evaluate Cellular Metabolism

Autofluorescence Imaging to Evaluate Cellular Metabolism

Published on: November 15, 2021

Hybrid µCT-FMT imaging and image analysis

Hybrid µCT-FMT imaging and image analysis

Published on: June 4, 2015

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

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

Published on: July 17, 2012

Area of Science:

Biomedical Imaging
Optical Imaging
Metabolic Disease Research

Background:

Dynamic fluorescence molecular tomography (DFMT) is a noninvasive optical imaging technique for quantifying metabolic parameters in living animals.
Existing DFMT methods struggle with accurately reconstructing abnormal metabolic regions and require complex solutions and prior information.
Accurate diagnosis of metabolic diseases, particularly in organs like the liver, remains a challenge for current imaging modalities.

Purpose of the Study:

To introduce a novel method, problem decomposition and prior refactor (PDPR), to improve DFMT's capacity for reconstructing abnormal metabolic regions.
To enhance the discrimination between metabolically abnormal tissues and normal tissues in small animal models.
To facilitate the diagnosis of metabolic diseases using advanced optical imaging techniques.

Main Methods:

The problem decomposition and prior refactor (PDPR) method decomposes metabolic parameter reconstruction into problems based on temporal coupling.
It utilizes regularization and parameter fitting techniques to solve the decomposed problems.
PDPR employs a divide-and-conquer strategy to refactor prior information, improving the distinction of abnormal metabolic areas.

Main Results:

Experimental results demonstrate that PDPR effectively separates abnormal metabolic regions within the liver.
The method shows improved accuracy in reconstructing metabolic parameters compared to existing DFMT techniques.
PDPR successfully differentiates between metabolically abnormal and normal liver tissues.

Conclusions:

The PDPR method significantly enhances the capability of DFMT for reconstructing abnormal metabolic regions.
This technique holds potential for accurate quantification of metabolic parameters and improved diagnosis of liver metabolic diseases in small animals.
PDPR offers a more robust and less complex solution for advanced metabolic imaging applications.