BrainSlicer is a MATLAB-based visualization tool for volumetric brain data. Its main purpose is to produce publication-level figures.
BrainSlicer main functionalities include:
- possibility of overlaying multiple images with tunable opacity.
- thresholding and clusterization of each layer
- visualize colorbar for each desired layer
- handy visualization of p-value maps as (1-p)
- ~ 100 colormaps available (including FSL and brain colours maps)
BrainSlicer is composed of three main programs:
-
slicer.m- the main tool, visualizes and prints nifti images. -
slicerCollage.m- combines several images produced byslicer.min a single figure. -
colormaps.m- shows all the available colormaps and their code for ease of selection.
BrainSlicer requires:
- SPM
- MATLAB version >= R2014b
SlicerDemo.m demostrates the major functionalities of the toolbox using common usage examples.
Cite As
Daniele Mascali (2025). BrainSlicer (https://github.com/dmascali/BrainSlicer/releases/tag/1.1), GitHub. Retrieved .
MATLAB Release Compatibility
Created with
R2020a
Compatible with R2014b and later releases
Platform Compatibility
Windows macOS LinuxCategories
Find more on Neuroimaging in Help Center and MATLAB Answers
Tags
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!Discover Live Editor
Create scripts with code, output, and formatted text in a single executable document.
MNI
examples/data
subfunc
examples
| Version | Published | Release Notes | |
|---|---|---|---|
| 1.1 | See release notes for this release on GitHub: https://github.com/dmascali/BrainSlicer/releases/tag/1.1 |
||
| 1.0 |
To view or report issues in this GitHub add-on, visit the GitHub Repository.
To view or report issues in this GitHub add-on, visit the GitHub Repository.



