PoliBrush v3.3
Authors/Creators
- 1. University of Genova
- 2. Department of Pharmacy (DIFAR), University of Genova
- 3. Department of Chemistry 'G. Ciamician', University of Bologna
Description
PoliBrush is a freely distributed, stand-alone software designed for teaching exploratory multivariate analysis in the frame of color RGB and spectral imaging. PoliBrush implements principal component analysis (PCA) as its core method. It features a single main window that provides users with essential tools for spectral image preprocessing and exploration. The software emphasizes an interactive brushing approach, enabling users to gain a comprehensive understanding of the relationships between PCA score space and image pixel space.
Example datasets can be downloaded from:
XRF-HSI Vermeer dataset
10.5281/zenodo.8143464
NIR-HSI Venus dataset
10.5281/zenodo.8143550
A detailed user guide is provided in the following open-access tutorial paper:
R. Rocha de Oliveira, C. Malegori, G. Sciutto, P. Oliveri
PoliBrush – A user-friendly software to aid multivariate image analysis dissemination
Chemometrics and Intelligent Laboratory Systems, 240 (2023) 104918
https://doi.org/10.1016/j.chemolab.2023.104918
Notes
Files
paololiveri/polibrush-v.3.3.zip
Files
(2.7 MB)
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Additional details
Related works
- Documents
- Dataset: 10.5281/zenodo.8143464 (DOI)
- Dataset: 10.5281/zenodo.8143550 (DOI)
- Is described by
- Journal article: 10.1016/j.chemolab.2023.104918 (DOI)
- Is supplement to
- Software: https://github.com/paololiveri/polibrush/tree/v.3.3 (URL)