7 research outputs found

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    Free will is a paramount concept that is central to our everyday lives, society and moral judgements. In this thesis, I search for the conditions under which free will can exist. This is done in relation to two topics: determinism and agency. Finally, I also explore the relation between free will and several social and philosophical concepts, and discuss briefly what would be the case if there were no free will.M.S. - Master of Scienc

    The European Extremely Large Telescope

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    is in its detailed design phase until the end of 2010. During this period, the telescope design is being consolidated and instrument and operation concepts are being studied. The scientific users are feeding back requirements into the project in numerous ways. One of them, the Design Reference Science Plan, was an opportunity for the entire community to provide direct feedback to the project. Here, we summarise the first results from this study. The full report will appear in the first half of 2010. As the detailed design phase of the European Extremely Large Telescope (E-ELT) progresses at a rapid pace, the scientific users are continuously injecting requirements into the project. The E-ELT Project includes a science office staffed by around ten researchers (the majority being post-docs, i.e. young future users of the facility), and it is continuously assisted on scientific issues by an external Science Working Group (SWG), established in early 2006, and comprising about 20 senior researchers from the community. A Design Reference Mission (DRM) was set up by the SWG and served as reference for about 20 high priority science cases that have been simulated in detail (the first reports are available on the project web pages 1). The outcome of these science cases is being used to drive the telescope and instrument requirements. However, a very broad, direct input from the community was missing until a year ago. This was the reason for launchin

    Exploration and analysis of molecularly annotated, 3D models of breast cancer at single-cell resolution using virtual reality

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    A set of increasingly powerful approaches are enabling spatially resolved measurements of growing numbers of molecular features in biological samples. While important insights can be derived from the two-dimensional data that many of these technologies generate, it is clear that extending these approaches into the third and fourth dimensions will magnify their impact. Realizing biological insights from datasets where thousands to millions of cells are annotated with tens to hundreds of parameters in space will require the development of new computational and visualization strategies. Here, we describe Theia, a virtual reality-based platform, which enables exploration and analysis of either volumetric or segmented, molecularly-annotated, three-dimensional datasets, with the option to extend the analysis to time-series data. We also describe our pipeline for generating annotated 3D models of breast cancer and supply several datasets to enable users to explore the utility of Theia for understanding cancer biology in three dimensions

    OME-Zarr: a cloud-optimized bioimaging file format with international community support

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    A growing community is constructing a next-generation file format (NGFF) for bioimaging to overcome problems of scalability and heterogeneity. Organized by the Open Microscopy Environment (OME), individuals and institutes across diverse modalities facing these problems have designed a format specification process (OME-NGFF) to address these needs. This paper brings together a wide range of those community members to describe the cloud-optimized format itself-OME-Zarr-along with tools and data resources available today to increase FAIR access and remove barriers in the scientific process. The current momentum offers an opportunity to unify a key component of the bioimaging domain-the file format that underlies so many personal, institutional, and global data management and analysis tasks.ISSN:0948-6143ISSN:1432-119

    OME-Zarr : A cloud-optimized bioimaging file format with international community support

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    A growing community is constructing a next-generation file format (NGFF) for bioimaging to overcome problems of scalability and heterogeneity. Organized by the Open Microscopy Environment (OME), individuals and institutes across diverse modalities facing these problems have designed a format specification process (OME-NGFF) to address these needs. This paper brings together a wide range of those community members to describe the cloud-optimized format itself-OME-Zarr-along with tools and data resources available today to increase FAIR access and remove barriers in the scientific process. The current momentum offers an opportunity to unify a key component of the bioimaging domain-the file format that underlies so many personal, institutional, and global data management and analysis tasks
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