Montpellier Rio Imaging selects Definiens for high throughput image analysis

6 March 2008

Montpellier Rio Imaging (MRI), a life science imaging facility located in the Languedoc-Roussillon region of France, has selected Munich-based Definiens to supply high content image analysis and data management technology.

MRI is supported by the French Ministry of Scientific Research, CNRS, INSERM, INRA, CIRAD, IRD and Montpellier University, and is shared by leading French federal research institutes and universities. Scientific personnel from any public or private organizations have access to it.

To complement a recent investment in new image-acquisition devices for the screening of cell culture plates and scanning of histology slides, MRI needed a new high-content image analysis and data management solution.

Dr Julien Cau, CNRS engineer, Deputy Manager in Charge of Light Microscopy, at MRI said, "Our new devices are performing an amazing job compared to the previous generation, but this kind of technology is pointless if automated, large-scale image analysis can't be performed."

With research activities ranging from cancer and neurology to plant science, the Languedoc-Roussillon area is highly acclaimed as a top French life science research and industry centre. MRI provides the environment, equipment and expertise necessary for methodological and technical support of projects that necessitate imaging technology in whatever form — optical, electronic, computer processing. The facility is planning to offer its leading-edge scientific community a global automated solution for cell-based assays and large-scale histopathology.

Montpellier Rio Imaging Chief Manager Dr. Pierre Travo is quite confident: “Definiens solutions will play a decisive role in MRI continuous efforts for the development of new services in biological imaging."

Your browser does not support inline frames or is currently configured not to display inline frames.	Your browser does not support inline frames or is currently configured not to display inline frames. Montpellier Rio Imaging selects Definiens for high throughput image analysis 6 March 2008 Montpellier Rio Imaging (MRI), a life science imaging facility located in the Languedoc-Roussillon region of France, has selected Munich-based Definiens to supply high content image analysis and data management technology. MRI is supported by the French Ministry of Scientific Research, CNRS, INSERM, INRA, CIRAD, IRD and Montpellier University, and is shared by leading French federal research institutes and universities. Scientific personnel from any public or private organizations have access to it. To complement a recent investment in new image-acquisition devices for the screening of cell culture plates and scanning of histology slides, MRI needed a new high-content image analysis and data management solution. Dr Julien Cau, CNRS engineer, Deputy Manager in Charge of Light Microscopy, at MRI said, "Our new devices are performing an amazing job compared to the previous generation, but this kind of technology is pointless if automated, large-scale image analysis can't be performed." With research activities ranging from cancer and neurology to plant science, the Languedoc-Roussillon area is highly acclaimed as a top French life science research and industry centre. MRI provides the environment, equipment and expertise necessary for methodological and technical support of projects that necessitate imaging technology in whatever form — optical, electronic, computer processing. The facility is planning to offer its leading-edge scientific community a global automated solution for cell-based assays and large-scale histopathology. Montpellier Rio Imaging Chief Manager Dr. Pierre Travo is quite confident: “Definiens solutions will play a decisive role in MRI continuous efforts for the development of new services in biological imaging." Your browser does not support inline frames or is currently configured not to display inline frames. To top	Your browser does not support inline frames or is currently configured not to display inline frames.