
Proceedings Paper
A new approach for real-time analysis of biomolecular interactions using surface plasmon resonance imaging SPRiFormat | Member Price | Non-Member Price |
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$17.00 | $21.00 |
Paper Abstract
The real-time monitoring of different molecular interactions can be used as a lower cost tool for genetic
diagnosis. The extraction of the hybridization signal allows the estimation of the association/dissociation constants, the
affinity of biomolecular components (target/probe) that interact and then characterize their activities and functions.
This extraction of the biological information is based on the analysis of images acquired by a CCD camera during the
course of the experiment and a self-calibration of the data obtained. Until now, the processing of these images was post
experimental and concerned different stages of analysis: the detection of spots region, spatiotemporal segmentation of
areas of interaction and eventually the quantification of these areas using the kinetic response measured. The challenging
issue is to continue to improve the automatic extraction of the interaction signal and develop a processing tool applied in
real-time as the image acquisition progresses. The advantage of such treatment is to allow the prediction of the evolution
of the interaction, especially in the case of genetic diagnosis. It may also detect any malfunction that may arise during the
interaction and allow the experimenter to decide whether to continue or interrupt the experience. This paper proposes a
new approach for the real-time analysis of the image data provided by the SPR. A self-calibration step allows the
correction of microarray design flaws or of temporal artifacts. Once the data are normalized, 3D morphological operators
are used to extract the binary mask that will allow detecting all regions of interest for dynamic segmentation. This
segmentation is then used in a spatio-temporal classification to extract the effective signal within each detected spot. The
resulting real-time analysis approach presents a great interest in genetic diagnosis applications.
Paper Details
Date Published: 16 April 2012
PDF: 14 pages
Proc. SPIE 8317, Medical Imaging 2012: Biomedical Applications in Molecular, Structural, and Functional Imaging, 831725 (16 April 2012); doi: 10.1117/12.911410
Published in SPIE Proceedings Vol. 8317:
Medical Imaging 2012: Biomedical Applications in Molecular, Structural, and Functional Imaging
Robert C. Molthen; John B. Weaver, Editor(s)
PDF: 14 pages
Proc. SPIE 8317, Medical Imaging 2012: Biomedical Applications in Molecular, Structural, and Functional Imaging, 831725 (16 April 2012); doi: 10.1117/12.911410
Show Author Affiliations
H. Mezlini, TELECOM & Management SudParis (France)
Lab. de Spectroscopie Atomique Moléculaire et Applications (Tunisia)
Ecole Nationale d'Ingénieurs de Tunis (Tunisia)
C. Fetita, TELECOM & Management SudParis (France)
Lab. MAP5, CNRS (France)
M. Canva, Lab. Charles Fabry, Institut d'Optique Graduate School (France)
Lab. de Spectroscopie Atomique Moléculaire et Applications (Tunisia)
Ecole Nationale d'Ingénieurs de Tunis (Tunisia)
C. Fetita, TELECOM & Management SudParis (France)
Lab. MAP5, CNRS (France)
M. Canva, Lab. Charles Fabry, Institut d'Optique Graduate School (France)
J. Moreau, Lab. Charles Fabry, Institut d'Optique Graduate School (France)
H. Ghalila, Lab. de Spectroscopie Atomique Moléculaire et Applications (Tunisia)
S. Ghalila, Lab. MAP5, CNRS (France)
Ecole Nationale d'Ingénieurs de Tunis (Tunisia)
Comité de Pilotage du CEA Linklab, Technocentre TELNET (Tunisia)
H. Ghalila, Lab. de Spectroscopie Atomique Moléculaire et Applications (Tunisia)
S. Ghalila, Lab. MAP5, CNRS (France)
Ecole Nationale d'Ingénieurs de Tunis (Tunisia)
Comité de Pilotage du CEA Linklab, Technocentre TELNET (Tunisia)
Published in SPIE Proceedings Vol. 8317:
Medical Imaging 2012: Biomedical Applications in Molecular, Structural, and Functional Imaging
Robert C. Molthen; John B. Weaver, Editor(s)
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