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

Time-Resolved Native Fluorescence Imaging of the Migration and Band Broadening of Monoclonal Antibody During Capillary Gel Electrophoresis With Sodium Dodecyl Sulfate.

Electrophoresis·2026
Same author

FLIMExplorer: interactive GUI for object-based visualization and analysis of fluorescence lifetime images.

JPhys photonics·2026
Same author

Mapping Morphology-Dependent Stability of Gold Nanostars in Immune Cells Using Hyperspectral Imaging.

Analytical chemistry·2026
Same author

Phasor EO-FLIM: Lifetime imaging with picosecond noise and 500 Hz frame rate.

bioRxiv : the preprint server for biology·2026
Same author

Whole-Epiphysis Trabecular Bone in Tamarin Limbs Suggests Effects of Leaping Distance Alongside Non-Biomechanical Factors.

American journal of biological anthropology·2026
Same author

Discovery of Novel Alkynylbenzene Scaffold-Based PTPN2-Selective Degrader PD-305 with Exceptional Potency and In Vivo Efficacy.

Journal of medicinal chemistry·2026

Related Experiment Video

Updated: Oct 11, 2025

Autofluorescence Imaging to Evaluate Cellular Metabolism
07:36

Autofluorescence Imaging to Evaluate Cellular Metabolism

Published on: November 15, 2021

4.6K

Autofluorescence Imaging to Evaluate Cellular Metabolism.

Anna Theodossiou1, Linghao Hu1, Nianchao Wang1

  • 1Department of Biomedical Engineering, Texas A&M University-College Station.

Journal of Visualized Experiments : Jove
|November 29, 2021
PubMed
Summary

Autofluorescence imaging quantifies cellular metabolism by measuring the distinct fluorescence lifetimes of NAD(P)H and FAD coenzymes. This label-free technique detects metabolic changes in cells, aiding disease research.

More Related Videos

Multimodal Optical Imaging Platform for Studying Cellular Metabolism
04:47

Multimodal Optical Imaging Platform for Studying Cellular Metabolism

Published on: June 6, 2025

719
Open Source High Content Analysis Utilizing Automated Fluorescence Lifetime Imaging Microscopy
09:30

Open Source High Content Analysis Utilizing Automated Fluorescence Lifetime Imaging Microscopy

Published on: January 18, 2017

12.2K

Related Experiment Videos

Last Updated: Oct 11, 2025

Autofluorescence Imaging to Evaluate Cellular Metabolism
07:36

Autofluorescence Imaging to Evaluate Cellular Metabolism

Published on: November 15, 2021

4.6K
Multimodal Optical Imaging Platform for Studying Cellular Metabolism
04:47

Multimodal Optical Imaging Platform for Studying Cellular Metabolism

Published on: June 6, 2025

719
Open Source High Content Analysis Utilizing Automated Fluorescence Lifetime Imaging Microscopy
09:30

Open Source High Content Analysis Utilizing Automated Fluorescence Lifetime Imaging Microscopy

Published on: January 18, 2017

12.2K

Area of Science:

  • Biochemistry
  • Cell Biology
  • Microscopy

Background:

  • Cellular metabolism is crucial for energy production and is often altered in diseases like cancer.
  • Nicotinamide adenine (phosphate) dinucleotide (NAD(P)H) and flavin adenine dinucleotide (FAD) are key metabolic coenzymes.
  • These coenzymes exhibit autofluorescence with distinct properties when free or protein-bound.

Purpose of the Study:

  • To demonstrate autofluorescence imaging of NAD(P)H and FAD for label-free cellular metabolism analysis.
  • To establish protocols for optimizing fluorescence lifetime imaging microscopy (FLIM) for these coenzymes.
  • To validate the technique's ability to detect metabolic perturbations.

Main Methods:

  • Utilizing fluorescence lifetime imaging microscopy (FLIM) to measure NAD(P)H and FAD.
  • Optimizing excitation and emission wavelengths for spectral isolation of coenzyme autofluorescence.
  • Inducing metabolic changes with cyanide to verify detection capabilities.

Main Results:

  • Quantified fluorescence intensity and lifetimes of free and protein-bound NAD(P)H and FAD.
  • Demonstrated spectral isolation of coenzyme autofluorescence.
  • Successfully detected metabolic alterations induced by cyanide treatment.

Conclusions:

  • Autofluorescence imaging, particularly FLIM, provides a powerful label-free method for assessing cellular metabolism.
  • The technique allows for the detection of metabolic dysregulation relevant to disease states.
  • Optimized imaging protocols enable robust analysis of NAD(P)H and FAD dynamics.