At any given time, when a human being is awake, at least 40 percent of the brain process visual information. That is because images are, by far, the richest source of read out information. Because this information can be mixed, ambiguous and noisy, the image analysis will be one vital pillar of automated scientific developments, especially in cell biology which presents some of the greatest challenges of the 21st century. The Image Mining Group which is composed of computer scientists, mathematicians and engineers contributes to this challenge by providing fast and reliable advanced computer vision algorithms to extract the information encoded in biological images in a fully automated manner. Since its creation in 2005, the Image Mining Group has developed a very efficient computational method to screen genome-wide arrays in only 24 hours. As an example, this enabled us to uncover host factors involved in several diseases including HIV and Trypanosoma cruzi. The group has also developed algorithms for several chemical based high content screening campaigns focusing on TB, HIV, Dystonia, Leishmania and Malaria.

Profile of Group Leader
Auguste Genovesio is the head of the Image Mining Group at Institut Pasteur Korea. He graduated in mathematics, computer science, artificial intelligence and pattern recognition from Pierre et Marie Curie University (France) and obtained his PhD degree from Rene Descartes University (France). He has been working in the field of image analysis and computational biology for the past 9 years at Institut Pasteur in France and in Korea.