biostudies-literatureUnknown7(2)Raza SE<h4>Background</h4>In recent years, new microscopic imaging techniques have evolved to allow us to visualize several different proteins (or other biomolecules) in a visual field. Analysis of protein co-localization becomes viable because molecules can interact only when they are located close to each other. We present a novel approach to align images in a multi-tag fluorescence image stack. The proposed approach is applicable to multi-tag bioimaging systems which (a) acquire fluorescence images by sequential staining and (b) simultaneously capture a phase contrast image corresponding to each of the fluorescence images. To the best of our knowledge, there is no existing method in the literature, which addresses simultaneous registration of multi-tag bioimages and selection of the reference PloS onee30894https://www.ebi.ac.uk/biostudies/studies/S-EPMC3280195biostudies-literatureRAMTaB: robust alignment of multi-tag bioimages.PMC3280195Abouna SRaza SEKhan MRajpoot NMHumayun ANattkemper TWEpstein DBfalseRAMTaB: robust alignment of multi-tag bioimages.<h4>Background</h4>In recent years, new microscopic imaging techniques have evolved to allow us to visualize several different proteins (or other biomolecules) in a visual field. Analysis of protein co-localization becomes viable because molecules can interact only when they are located close to each other. We present a novel approach to align images in a multi-tag fluorescence image stack. The proposed approach is applicable to multi-tag bioimaging systems which (a) acquire fluorescence images by sequential staining and (b) simultaneously capture a phase contrast image corresponding to each of the fluorescence images. To the best of our knowledge, there is no existing method in the literature, which addresses simultaneous registration of multi-tag bioimages and selection of the reference 2012-01-01T00:00:00Z20122025-04-04T21:05:36.807Z2019-03-26T23:12:37ZS-EPMC32801952236351010.1371/journal.pone.0030894