Computational 3D Imaging

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Team Computational 3D Imaging

The team conducts bleeding edge research on algorithmic questions with different applications in microscopy and three-dimensional imaging. The broader research question is: how can one obtain a maximum of information about a sample? Hereby, we consider several aspects of 3D imaging. How can we incorporate different kind of prior knowledge about the microscope, the specimen, or the physics of image formation into reconstruction algorithms to obtain better reconstructions from existing projections? What are optimal recording schemes to obtain 3D information? Specifically, how can adaptive sampling schemes augment the information content of a dataset already during the acquisition? And finally: how can simulations be used to make  physical quantities that can not easily be observed directly, appear in a three-dimensional dataset. For example, can we use finite element simulations to enhance a tomogram with residual stress vectors?

Scanning Electron Microscope image of cast iron acquired using an adaptive scanning method.



  • Ettention - Ettention is a software package for tomographic reconstruction in electron tomography. It implements the algorithms simultaneous algebraic reconstruction technique (SART),… Continue reading Ettention


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