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Related Experiment Video

Updated: Feb 24, 2026

Whole-Brain Single-Cell Imaging and Analysis of Intact Neonatal Mouse Brains Using MRI, Tissue Clearing, and Light-Sheet Microscopy

Whole-Brain Single-Cell Imaging and Analysis of Intact Neonatal Mouse Brains Using MRI, Tissue Clearing, and Light-Sheet Microscopy

Published on: August 1, 2022

Imaging Neural Architecture in Brainbow Samples.

Douglas H Roossien¹, Dawen Cai²

¹Cell and Developmental Biology Department, University of Michigan, Ann Arbor, MI, 48109, USA.

Methods in Molecular Biology (Clifton, N.J.)

|August 18, 2017

Summary

This summary is machine-generated.

Brainbow technology uses fluorescent proteins and site-specific recombinases to color-code cellular structures, enabling high-resolution imaging of complex tissues like the brain. This method requires optimized sample preparation and multispectral imaging techniques for detailed analysis.

Keywords:

Brainbow Confocal microscopy Development Immunohistology Linear unmixing Multispectral imaging Neuroscience

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Last Updated: Feb 24, 2026

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Published on: September 5, 2018

Area of Science:

Neuroscience
Cell Biology
Microscopy

Background:

Fluorescent proteins have revolutionized light microscopy for biological structure studies.
Traditional methods struggle to resolve components in complex structures like the brain.
Brainbow technology offers a solution for resolving closely located structures using multicolor labeling.

Purpose of the Study:

To present refined methods for sample preparation and imaging optimized for multispectral imaging in Brainbow approaches.
To detail the most robust approach for generating Brainbow data using immunohistology and multispectral laser scanning confocal microscopy.

Main Methods:

Utilizing site-specific recombinases for stochastic combinations of fluorescent proteins.
Implementing multicolor labeling strategies for enhanced structural resolution.
Combining immunohistology with multispectral laser scanning confocal microscopy for optimal data generation.

Main Results:

Brainbow enables resolution of structures in close proximity based on distinct color profiles.
Multispectral imaging is crucial for differentiating complex color combinations.
Optimized sample preparation and imaging protocols enhance the utility of Brainbow data.

Conclusions:

Brainbow technology significantly improves the ability to resolve complex biological structures.
Multispectral laser scanning confocal microscopy combined with immunohistology is a robust method for Brainbow imaging.
The presented imaging principles are applicable to various Brainbow approaches.