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Federica Marone’s scientific research focuses on the development of innovative algorithms to best complement the latest hardware and methodological developments at the TOMCAT beamline, driven by the goal of enabling new science in different fields. She works on aspects related to tomographic reconstructions (analytic and iterative approaches) and mitigation of artifacts as well as on the optimized integration of new software in the beamline framework.
Recently, Federica Marone has also been addressing challenges posed by the large amount of data produced at the TOMCAT beamline for instance during time resolved experiments. She has been involved in the assessment of possible data compression concepts for tomographic microscopy data, the optimization of the available computational infrastructure use and the realization of a real-time reconstruction system enabling direct feedback between the microscopic evolution of a sample and the on-going experiment.
Recently, Federica Marone has also been addressing challenges posed by the large amount of data produced at the TOMCAT beamline for instance during time resolved experiments. She has been involved in the assessment of possible data compression concepts for tomographic microscopy data, the optimization of the available computational infrastructure use and the realization of a real-time reconstruction system enabling direct feedback between the microscopic evolution of a sample and the on-going experiment.
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