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

RAEM: random-access electron microscopy for revisitable 3D imaging.

bioRxiv : the preprint server for biology·2026
Same author

Connectomic evidence that ordered activity drives neuromuscular network formation.

Nature neuroscience·2026
Same author

FEABAS: A Stitching and Alignment Tool for Serial EM Data.

bioRxiv : the preprint server for biology·2026
Same author

Simultaneous brain-wide single-cell recording resolves spatiotemporal memory architecture.

bioRxiv : the preprint server for biology·2026
Same author

DRIFT-EM enables direct wafer retrieval of ultrathin serial sections for large-volume electron microscopy.

Cell reports methods·2026
Same author

Probing molecular diversity and ultrastructure of brain cells with fluorescent aptamers.

Nature communications·2026

Related Experiment Video

Updated: May 10, 2026

Visualizing the Developing Brain in Living Zebrafish using Brainbow and Time-lapse Confocal Imaging
07:28

Visualizing the Developing Brain in Living Zebrafish using Brainbow and Time-lapse Confocal Imaging

Published on: March 23, 2020

Improved tools for the Brainbow toolbox.

Dawen Cai1, Kimberly B Cohen, Tuanlian Luo

  • 11] Center for Brain Science, Harvard University, Cambridge, Massachusetts, USA. [2] Department of Molecular and Cellular Biology, Harvard University, Cambridge, Massachusetts, USA.

Nature Methods
|July 3, 2013
PubMed
Summary
This summary is machine-generated.

The Brainbow technique uses Cre-loxP recombination for multicolor labeling of mouse neurons. New mouse lines and viral vectors enhance its application in neuroscience research.

More Related Videos

Modeling the Functional Network for Spatial Navigation in the Human Brain
05:55

Modeling the Functional Network for Spatial Navigation in the Human Brain

Published on: October 13, 2023

STFEEG-Tool: A Spatial-Temporal-Frequency EEG Analysis Tool for Motor Imagery Brain-Computer Interfaces
05:36

STFEEG-Tool: A Spatial-Temporal-Frequency EEG Analysis Tool for Motor Imagery Brain-Computer Interfaces

Published on: March 10, 2026

Related Experiment Videos

Last Updated: May 10, 2026

Visualizing the Developing Brain in Living Zebrafish using Brainbow and Time-lapse Confocal Imaging
07:28

Visualizing the Developing Brain in Living Zebrafish using Brainbow and Time-lapse Confocal Imaging

Published on: March 23, 2020

Modeling the Functional Network for Spatial Navigation in the Human Brain
05:55

Modeling the Functional Network for Spatial Navigation in the Human Brain

Published on: October 13, 2023

STFEEG-Tool: A Spatial-Temporal-Frequency EEG Analysis Tool for Motor Imagery Brain-Computer Interfaces
05:36

STFEEG-Tool: A Spatial-Temporal-Frequency EEG Analysis Tool for Motor Imagery Brain-Computer Interfaces

Published on: March 10, 2026

Area of Science:

  • Neuroscience
  • Genetics
  • Molecular Biology

Background:

  • The Brainbow technique enables stochastic multicolor labeling of individual cells using Cre-loxP recombination.
  • While adapted for various organisms, its full potential in the mouse brain remains underexplored.

Purpose of the Study:

  • To overcome limitations of existing Brainbow mouse lines.
  • To adapt the Brainbow method for adeno-associated viral vectors.
  • To provide guidance on imaging Brainbow-expressing tissues.

Main Methods:

  • Development of novel transgenic mouse lines for improved Brainbow labeling.
  • Adaptation of the Brainbow system for use with adeno-associated viral vectors.
  • Characterization and technical guidance for imaging Brainbow expression.

Main Results:

  • New mouse lines demonstrate enhanced Brainbow labeling capabilities.
  • Successful adaptation of Brainbow for viral vector delivery in the mouse brain.
  • Comprehensive technical advice for optimal imaging of multicolor neuronal populations.

Conclusions:

  • The improved Brainbow mouse lines and viral vector adaptation significantly expand the utility of multicolor labeling in the mouse brain.
  • This work facilitates advanced studies of neuronal connectivity and morphology.
  • Enhanced imaging protocols ensure high-quality data acquisition for Brainbow studies.