 Hello, my name is Brian Avance and I'm Jim G. We're from the Penn Image Computing and Science Laboratory. We're here to discuss strategies and the importance of registration and normalization for looking at mouse brain from a variety of modalities. That's the purpose of this registration clinic. This is part of the Waxham Task Force. It's a building infrastructure that allows people to map their own user data into this space. Today's clinic is to allow people to walk in and hopefully advise them on how to do that and registration being the main task which is necessary to be able to do this. Right, so for instance, longer term people would like to be able to automatically search for gene expression patterns across large populations of images that have been stained and they need a tool to automatically be able to localize anatomy into a common space. So what we can see here is an example mouse brain with labeling. Each color represents neuroanatomy and because every individual sample is a little bit different these images have to be deformed and co-localized into the coordinate system such as this in order to achieve this long term goal of the searchable database of anatomy and say gene expression or other cell type, other measurements. And because the data that the users generate are very heterogeneous in nature everybody has their own protocols in which they acquire the data. The purpose of today's registration clinic is actually to help these individuals with some kind of nature of their own data in terms of how the tools that they're developing that were made available through INCF might be adapted or refined to help them map their own data into INCF waxing space. And because the tools that we use in this application area are very general we also are supporting users who have general registration or segmentation problems and we try to promote a core infrastructure that's using a variety of domains.