Analysis of multivariate images in fluorescence microscopy
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Updated: Jan 26, 2026

Rapid Analysis and Exploration of Fluorescence Microscopy Images
Published on: March 19, 2014
Caroline Peltier1, Pascale Winckler1,2, Laurence Dujourdy3
1Univ. Bourgogne Franche-Comte, Agrosup Dijon, PAM UMR A 02.102, F21000 Dijon, France.
Abstract:
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. Here, we are presenting a full approach of multivariate analysis of fluorescence microscopy images and we are proposing a free R package (multifluo) to conduct it.
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