Imactiv-3D mission is to assess the efficacy of a molecule of interest by using innovative imaging and quantification tools, and by implementing powerful image processing algorithms on relevant 3D models.
The main challenge of the pharmaceutical industry today is to improve the predictivity of preclinical research. As the success rate of a drug candidate is low, and as drug development is long and costly, we need to address these issues by making research more effective. Imactiv-3D is a fee-for-services company born from the meeting between biology, imaging and image processing experts.
By working together, we have developed 3D imaging procedures to explore biological samples and image analysis algorithms to automatize and strengthen characterization and quantification on innovative 3D models. This complementary expertise along with our R&D service allow our customers to enhance their preclinical data as they can assess the efficacy of their compound or model with better biological relevance and reliability. Meet our Team
Get your samples ready for high quality imaging
Our know-how to get the best out of biological samples
Innovative models to better mimic the in vivo
Fast, reliable and tailor-made image analysis
Servier has found through this collaboration, an highly experienced partner. Imactiv-3D is a dynamic team, with a young, motivated and reactive crew. Imactiv-3D has pushed the limits of whole heart imaging with its breakthrough technology.
Imactiv-3D were very receptive to our requests to image the ability of small molecules to protect the heart of mice from the damage of ischemia-reperfusion. We were very satisfied and impressed by their results that go far beyond those obtained with the conventional approaches in terms of information and quantification and will reduce the number of animals.
We were impressed by the quality, accuracy and robustness of the data Imactiv-3D could provide in a short time. Their approach, combining state of the art image analysis platform with a deep knowledge of image acquisition, segmentation and quantification, allowed us to open a completely new perspective in live cell quantification of virus replication.