Analysis of multivariate images in fluorescence microscopy.
Fiche publication
Date publication
avril 2019
Journal
Methods and applications in fluorescence
Auteurs
Membres identifiés du Cancéropôle Est :
Pr PERRIER-CORNET Jean-Marie
Tous les auteurs :
Peltier C, Winckler P, Dujourdy L, Bechoua S, Perrier-Cornet JM
Lien Pubmed
Résumé
A multivariate image is an image stack in which each pixel contains several variables. Such images are common in many fields (medicine, imaging microscopy, satellite imaging...) and their analysis requires adapted multivariate statistical methods. In fluorescence imaging microscopy, different probes or different measurements such as intensity, fluorescence lifetime or spectral information can be observed from one view. However, this is not yet analysed as multivariate images. We are presenting here a full approach of multivariate analysis of fluorescence microscopy images and we are proposing a free R package (multifluo) to conduct it. .
Mots clés
PCA, ROI discrimination, difference multivariate test
Référence
Methods Appl Fluoresc. 2019 Apr 11;: