Section: Partnerships and Cooperations

National Initiatives

Quaero project

Participant : Charles Kervrann.

Quaero is a European collaborative research and development program with the goal of developing multimedia and multi-lingual indexing and management tools for professional and public applications. serpico team participates in the Work Package 9 on Video Processing (WP9) of QUAERO Core Technology Cluster Project (CTC). Within WP9, former Vista project-team leaded three tasks: “Motion Recognition”, “Object Tracking” and “Event Recognition”. Since October 2010, serpico have conducted activities in object tracking and indexing for video-microscopy analysis (Denis Fortun's PhD grant ( 6.1 )).

LI-FLIM project

Participants : Charles Kervrann, Philippe Roudot.

The goal is to develop lifetime estimation methods of moving vesicles in FLIM microscopy. Grant to support collaboration between serpico team and UMR 144 CNRS PICT-IBiSA Institut Curie (P. Roudot's PhD ( 6.2 ))

DADA project

Participant : Charles Kervrann.

The accurate control of the growing and guidance of neuronal extensions to their target is a very important step for the maturation of the nervous system. The goal of this project (http://www-sop.inria.fr/members/Xavier.Descombes/DADA/home.html ) is to develop new computational techniques to analyze image sequence of 3D volumes containing a population of growing axons.

Bio-IP toolbox

Participants : Charles Kervrann, Tristan Lecorgne, Pierre Hellier.

The goal of this project is to integrate software tools (Section 5) in user-friendly interfaces. The softwares have been developed in various bioimaging projects and some of them required GPU accelerations for facing high-content microscopy. The softwares and plug-in will be used by biologists to explore image data.

France-BioImaging project

Participants : Charles Kervrann, Tristan Lecorgne.

The goal of the project is to build a distributed coordinated French infrastructure for photonic and electronic cellular bioImaging dedicated to innovation, training and technology transfer. High computing capacities are needed to exhaustively analyse image flows. We address the following problems: i/ exhaustive analysis of bioimaging data sets; ii/ deciphering of key steps of biological mechanisms at organ, tissular, cellular and molecular levels through the systematic use of time-lapse 3D microscopy and image processing methods; iii/ storage and indexing of extracted and associated data and metadata through an intelligent data management system.