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The OptIPuter microscopy demonstrator project has been designed to enable concurrent and remote usage of world-class electron microscopes located in Oxford and San Diego. The project has constructed a network consisting of microscopes and computational and data resources that are all connected by a dedicated network infrastructure using the UK Lightpath and US Starlight systems. Key science drivers include examples from both materials and biological science. The resulting system is now a permanent link between the Oxford and San Diego microscopy centres. This will form the basis of further projects between the sites and expansion of the types of systems that can be remotely controlled, including optical, as well as electron, microscopy. Other improvements will include the updating of the Microsoft cluster software to the high performance computing (HPC) server 2008, which includes the HPC basic profile implementation that will enable the development of interoperable clients.

Electron tomography (ET) has been proven an essential technique for imaging the structure of cells beyond the range of the light microscope down to the molecular level. Large-field high-resolution views of biological specimens span more than four orders of magnitude in spatial scale, and, as a consequence, are rather difficult to generate directly. Various techniques have been developed towards generating those views, from increasing the sensor array size to implementing serial sectioning and montaging. Datasets and reconstructions obtained by the latter techniques generate multiple three-dimensional (3D) reconstructions, that need to be combined together to provide all the multiscale information. In this work, we show how to implement montages within TxBR, a tomographic reconstruction software package. This work involves some new application of mathematical concepts related to volume preserving transformations and issues of gauge ambiguity, which are essential problems arising from the nature of the observation in an electron microscope. The purpose of TxBR is to handle those issues as generally as possible in order to correct for most distortions in the 3D reconstructions and allow for a seamless recombination of ET montages.

Electron tomography is a powerful tool for deriving three-dimensional (3D) structural information about biological systems within the spatial scale spanning 1 nm3 and 10 µm3. With this technique, it is possible to derive detailed models of subcellular components such as organelles and synaptic complexes and to resolve the 3D distribution of their protein constituents in situ. While there continues to be progress towards the integration of high-performance computing technologies with traditional electron tomography processes, there is a significant need for more transparent integration with applications and to minimize the administrative overhead and complexity (resource administration, authentication, scheduling, data delivery) passed on to the noncomputer scientist end user. Here we present the "Telescience Portal" (https://gridport.npaci.edu/Telescience) as an example of a fully integrated, web-based solution for performing end-to-end electron tomography. More than just a collection of individual applications, the Portal provides a transparent workflow, where simple intuitive interfaces for grid-enabled parallel computation, resource scheduling, remote instrumentation, advanced image processing and visualization, access to distributed/federated databases, and network-enabled data management and archival are tightly coupled within a secure environment which promotes increased collaboration between researchers. This tightly integrated Telescience system is a test-bed application for using grid resources to accelerate the throughput of data acquisition and processing, increase access to scarce and/or expensive instrumentation, and improve the accuracy of derived data products.

Scientific imaging instruments are used in a variety of disciplines to gather vital data for research and study. Specifically, in the biomedical field various types of biological imaging instruments, such as electron microscopes and light microscopes, are used everyday to acquire 2D and 3D datasets for further understanding of biological structures. Remote operation or "teleoperation" of instruments has become a popular solution for research scientists to acquire and share data across research domains separated by geographical barriers. A generalized software architecture solution is presented in this paper to use emerging software technologies to develop a reusable framework to easily integrate instruments for remote-operation in a safe and secure fashion. Web services have emerged as a popular technology to provide software applications with a framework to achieve interoperability and integration with other applications. This generalized software architecture was developed to take advantage of Web service middleware technology and to provide a solution for easily plugging in scientific imaging instruments for teleoperation. The architecture has also incorporated grid technology to achieve a more scalable and robust solution for handling the enormous data sets produced from these instruments. Finally a set of client libraries is presented to demonstrate a useful API for developers to quickly develop a graphical user interface to communicate and acquire data from these instruments