Masters Internship Position
“Biological 3D image restoration”
Where: INRIA, Sophia Antipolis (near Antibes on the Côte d’Azur), France.
Research group: Ariana (joint CNRS/INRIA/University of Nice research group) http://www.inria.fr/ariana
Laure Blanc-Féraud, DR2 CNRS, tél. : 04 92 38 77 14,
email : email@example.com
Josiane Zerubia, DR1, INRIA , tél, : 04 92 38 78 65,
email : Josiane.Zerubia@sophia.inria.fr
Head of group: Josiane Zerubia, Director of Research, INRIA, phone: +33 (0)4 9238 7865,
Since a few years, more and more image systems are available for biological specimen imaging. Among them,
fluorescence confocal microscopy is a powerful system allowing visualizing 3D life biological specimen at
resolution of hundreds of nanometra. Despite the confocal system, a blur remains present in images mainly in
the depth direction. The observed image can be modelled as the convolution of the perfect true object and the
Point Spread Function (PSF) of the optical acquisition system. So using deconvolution techniques, images can
be restored. For that purpose, the PSF must be precisely known. Parametric models of the PSF are available;
however it is difficult to get exact values of these parameters from the physical parameters given by the
experimental conditions as they may change with the different experiments.
Goal of the internship:
The goal of this internship is to develop a new restoration method including PSF estimation using a new
acquisition protocol in the case of fluorescent tracers with large spectral band emission. We propose to acquire at
the same time two images of the same object at two different spectral wavelengths. The goal is show that these
information will help the blind deconvolution process and that the results are enhanced. More precisely, the
work will consist in:
- doing the acquisition of biological images in the experimental predefined conditions. This work will be
conducted in collaboration with the “Institut de Biologie du Développement et Cancer” of Nice Sophia
Antipolis University (UNS),
- developing and program a new restoration method using these data,
- applying this method on biological animal and vegetal specimens and show the relevance of this
approach, in collaboration with biologists of “Institut de Biologie du Développement et Cancer” of
UNS, and biologists of INRA in Sophia Antipolis.
Profile: The ideal candidate should have knowledge in image processing and applied mathematics, and be
interested in biological applications and collaborative work. Programming will be in Matlab and C/C++.
Salary and conditions:
The duration of the internship will be five to six months. Salary is from €1100 per month net, including health
care. For further details of life at INRIA and on the Côte d’Azur, see the Ariana web site
PhD continuation: possible if good results are obtained.