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

Advances in tools and technologies for multiplexed bioluminescence imaging.

Current opinion in chemical biology·2026
Same author

Targeted extracellular degradation of LRP8 promotes ferroptosis in cancer cells.

bioRxiv : the preprint server for biology·2026
Same author

Expanded applications of bioluminescence microscopy with phasor analysis.

Cell reports methods·2026
Same author

Bioluminescent Probes for Multiplexed RNA Imaging.

Journal of the American Chemical Society·2026
Same author

Targeted shedding of extracellular membrane proteins by induced protease recruitment.

bioRxiv : the preprint server for biology·2026
Same author

A cytokine receptor-targeting chimera toolbox for expanding extracellular targeted protein degradation.

Proceedings of the National Academy of Sciences of the United States of America·2026

Related Experiment Video

Updated: Aug 24, 2025

In vivo Dual Substrate Bioluminescent Imaging
07:33

In vivo Dual Substrate Bioluminescent Imaging

Published on: October 11, 2011

15.7K

Multiplexed bioluminescence imaging with a substrate unmixing platform.

Caroline K Brennan1, Zi Yao1, Anastasia A Ionkina2

  • 1Department of Chemistry, University of California, Irvine, Irvine, CA 92697, USA.

Cell Chemical Biology
|October 25, 2022
PubMed
Summary
This summary is machine-generated.

This study introduces a rapid bioluminescent imaging method for tracking multiple cellular components. The new technique uses sequential substrate delivery and a MATLAB algorithm to distinguish and quantify multiple luciferase reporters in under 50 minutes.

Keywords:
bioluminescenceimagingluciferaseluciferinmultiplexingunmixing

More Related Videos

Multiplexed Barcoding Image Analysis for Immunoprofiling and Spatial Mapping Characterization in the Single-Cell Analysis of Paraffin Tissue Samples
08:18

Multiplexed Barcoding Image Analysis for Immunoprofiling and Spatial Mapping Characterization in the Single-Cell Analysis of Paraffin Tissue Samples

Published on: April 7, 2023

1.7K
Multiplexing Focused Ultrasound Stimulation with Fluorescence Microscopy
08:39

Multiplexing Focused Ultrasound Stimulation with Fluorescence Microscopy

Published on: January 7, 2019

8.3K

Related Experiment Videos

Last Updated: Aug 24, 2025

In vivo Dual Substrate Bioluminescent Imaging
07:33

In vivo Dual Substrate Bioluminescent Imaging

Published on: October 11, 2011

15.7K
Multiplexed Barcoding Image Analysis for Immunoprofiling and Spatial Mapping Characterization in the Single-Cell Analysis of Paraffin Tissue Samples
08:18

Multiplexed Barcoding Image Analysis for Immunoprofiling and Spatial Mapping Characterization in the Single-Cell Analysis of Paraffin Tissue Samples

Published on: April 7, 2023

1.7K
Multiplexing Focused Ultrasound Stimulation with Fluorescence Microscopy
08:39

Multiplexing Focused Ultrasound Stimulation with Fluorescence Microscopy

Published on: January 7, 2019

8.3K

Area of Science:

  • Molecular Biology
  • Biotechnology
  • Imaging Science

Background:

  • Bioluminescent imaging enables visualization of cellular features in vivo.
  • Current multi-component tracking is limited by probe resolution and lengthy imaging durations.

Purpose of the Study:

  • To develop a faster, quantitative, and multiplexed bioluminescent readout system.
  • To overcome limitations in resolving multiple bioluminescent signals simultaneously.

Main Methods:

  • Sequential substrate administration and serial image acquisition.
  • Development of a MATLAB algorithm for deconvoluting signals from luciferase-luciferin pairs.
  • Rapid imaging protocol with minimal delay between substrate delivery.

Main Results:

  • Distinguished three to five luciferase reporters in under 50 minutes, a significant speed improvement over conventional methods.
  • Accurately quantified luciferase levels in heterogeneous mixtures.
  • Demonstrated the platform's ability to layer light outputs sequentially with minimal delay.

Conclusions:

  • The developed multiplexed imaging platform offers a rapid and versatile solution for bioluminescence applications.
  • This technology expands the scope and efficiency of in vivo cellular tracking.
  • The sequential substrate administration and deconvolution algorithm enhance quantitative multi-analyte detection.