Projet financé en cours

2007-2011 Conseil de la Region ile de France program SESAME “Imagopole- High- Content Imaging Cytometry” 2,300,000€

This project is founded upon the concerted collaboration among all Imagopole platforms, plus external research groups with specific biological thematic. Especially, the dynamic imaging group (PFID), and the ultra- structural imaging group (PFMU) are key actors.

The project is posed upon the foundation of the Imagopole’s mission i.e. application of imaging technologies for studies on “functional & molecular dynamics”. Inside are three main axes of research and development aimed to provide key cutting-edge technology and methods advances for imaging:
i) High-content imaging cytometry;
ii) Cryo-Correlative Light/Electron Microscopy;
iii) Implementation of a large-scale image database “OMERO”. High-content imaging microscopy presents us a powerful means to investigate the cell biology of infection. Especially where such analysis targets the complexity of dynamic spatiotemporal interactions between host-cell and pathogen.

In this context, meaningful conclusions require statistically robust quantification from visual analysis of complex and often highly heterogeneous datasets. This project recognizes the critical need for high- throughput automation at the level of both data acquisition and analysis; even for the simplest paradigms. In efforts to ensure this “pipeline” we are in the process of implementing a number of important high- content & high-throughput informatics technologies for imaging aimed to facilitate automated “visual screening” methods for cells in various experimental assay environments. We will establish an image database (OMERO) aimed to conserve the value of data content while making it available to interrogation and analysis anywhere through an open license software platform.
Eventually, this will allow for image-database content to be rationalized, for example, using chemical genomics data-mining tools, library-management, and/or ontology (annotation) tools. This project is based upon the use of OMERO (Open Microscopy Environment Remote Objects) database utilities that are the subject of our close collaboration with, and participation to the international OME community (headed by Pr. Jason Swedlow, University Dundee, UK).

The proposed database system will be capable to handle high resolution images generated in high throughput context using many different types of imaging modality, and generating “ultra” high content image data, including 5D images (Three dimensions 3D images in time and color space).