TY  - JOUR
AB  - 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 image in order to maximize the overall overlap between the images.
DA  - 2012
DO  - 10.1371/journal.pone.0030894
KW  - bioimage informatics
KW  - image registration
KW  - MELC
KW  - toponomics
KW  - TIS
LA  - eng
IS  - 2
PY  - 2012
SN  - 1932-6203
T2  - PLoS ONE
TI  - RAMTaB: Robust Alignment of Multi-Tag Bioimages
UR  - https://nbn-resolving.org/urn:nbn:de:0070-pub-24557530
Y2  - 2024-11-21T16:15:59
ER  -