Work in collaboration with the PSC-VB team and the Duke Center for In Vivo Microscopy (CIVM) with support from the National Library of Medicine. Volumetric datasets (CT, MRI, EM, etc.) on the gigabyte scale are relatively common in the basic and clinic al Life Sciences, and datasets on the terabyte scale will become increasingly common in the near future. At these scales visualization and analysis using typical users desktop systems is difficult. We have been developing a client-server system, the PSC Volume Browser (PSC-VB), that links the graphics power of user's PCs with remote high performance servers and supercomputing resources to enable the routine sharing, visualization, and anaylsis of of large volumetric and time series datasets. PSC-VB provides the framework for efficient data transfer and data manipulation using both client and server side processing. The system is designed to link extensible toolsets for data analysis including the National Library of Medicine Insight Segmentation and Registration Toolkit (ITK) and user provided processing modules. We are currently using PSC-VB for analysis of mouse cardiac function using time series micro-CT volumes and mouse embryo development micro-MRI volumes captured at the Duke CIVM. This talk will provide an overview of the PSC-VB system and its specific application to the CIVM time series data analysis as well as preliminary efforts to build very large data volumes from serial section electron microscopy images. Although our current applications involve biological data the general framework is applicable to other data modalities and has been used to view, for example, earthquake ground motions and electro magnetic fields.