RAMTaB: Robust Alignment of Multi-Tag Bioimages

Raza S-E-A, Epstein D, Nattkemper TW, Rajpoot N (2012)
PLoS ONE 7(2): e30894.

Zeitschriftenaufsatz | Veröffentlicht | Englisch
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Abstract / Bemerkung
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.


Raza S-E-A, Epstein D, Nattkemper TW, Rajpoot N. RAMTaB: Robust Alignment of Multi-Tag Bioimages. PLoS ONE. 2012;7(2):e30894.
Raza, S. - E. - A., Epstein, D., Nattkemper, T. W., & Rajpoot, N. (2012). RAMTaB: Robust Alignment of Multi-Tag Bioimages. PLoS ONE, 7(2), e30894. doi:10.1371/journal.pone.0030894
Raza, S. - E. - A., Epstein, D., Nattkemper, T. W., and Rajpoot, N. (2012). RAMTaB: Robust Alignment of Multi-Tag Bioimages. PLoS ONE 7, e30894.
Raza, S.-E.-A., et al., 2012. RAMTaB: Robust Alignment of Multi-Tag Bioimages. PLoS ONE, 7(2), p e30894.
S.-E.-A. Raza, et al., “RAMTaB: Robust Alignment of Multi-Tag Bioimages”, PLoS ONE, vol. 7, 2012, pp. e30894.
Raza, S.-E.-A., Epstein, D., Nattkemper, T.W., Rajpoot, N.: RAMTaB: Robust Alignment of Multi-Tag Bioimages. PLoS ONE. 7, e30894 (2012).
Raza, Shan-E-Ahmed, Epstein, David, Nattkemper, Tim Wilhelm, and Rajpoot, Nasir. “RAMTaB: Robust Alignment of Multi-Tag Bioimages”. PLoS ONE 7.2 (2012): e30894.
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7 Zitationen in Europe PMC

Daten bereitgestellt von Europe PubMed Central.

Non-Rigid Contour-Based Registration of Cell Nuclei in 2-D Live Cell Microscopy Images Using a Dynamic Elasticity Model.
Sorokin DV, Peterlik I, Tektonidis M, Rohr K, Matula P., IEEE Trans Med Imaging 37(1), 2018
PMID: 28783625
Diffeomorphic Multi-Frame Non-Rigid Registration of Cell Nuclei in 2D and 3D Live Cell Images.
Tektonidis M, Rohr K., IEEE Trans Image Process 26(3), 2017
PMID: 28092560
ViCAR: An Adaptive and Landmark-Free Registration of Time Lapse Image Data from Microfluidics Experiments.
Hattab G, Schlüter JP, Becker A, Nattkemper TW., Front Genet 8(), 2017
PMID: 28620411
Robust normalization protocols for multiplexed fluorescence bioimage analysis.
Ahmed Raza SE, Langenkämper D, Sirinukunwattana K, Epstein D, Nattkemper TW, Rajpoot NM., BioData Min 9(), 2016
PMID: 26949415
Non-rigid multi-frame registration of cell nuclei in live cell fluorescence microscopy image data.
Tektonidis M, Kim IH, Chen YC, Eils R, Spector DL, Rohr K., Med Image Anal 19(1), 2015
PMID: 25181702
DiSWOP: a novel measure for cell-level protein network analysis in localized proteomics image data.
Kovacheva VN, Khan AM, Khan M, Epstein DB, Rajpoot NM., Bioinformatics 30(3), 2014
PMID: 24273247
Multi-color fluorescence imaging based on plasmonic wavelength selection and double illumination by white light.
Choi JM, Eom K, Hwang S, Lee Y, Jun SB, Byun KM, Kim SJ., Opt Express 22(5), 2014
PMID: 24663934

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